參考文獻
本站引用的每一筆文獻,都經過兩輪獨立查證(書目識別碼與內容欄位),並標示出版狀態與實際閱讀程度。依作者與年份排序。
本頁內容
共 518 筆已查證文獻:已讀全文 507 筆、已讀部分章節 2 筆、僅讀摘要 2 筆、僅核對書目 0 筆、無法取得內容 7 筆。閱讀程度決定了本站能對該文獻說到什麼程度;僅讀摘要的文獻,只用於支持摘要層級的敘述。
年份分布
各年首次公開的文獻:經典與近十年
每一欄是一年,色段區分兩條納入路徑。圖表隨上方的篩選與搜尋更新,橫軸年份維持不變。
近十年路徑的區間起點是 2016-09-25(依首次公開日期判定),落在 2016 一欄之內;目前條件下該欄有經典 11 筆、近十年 5 筆。
按下圖例項目只顯示該系列,再按一次恢復全部系列。
按 Tab 進入圖表後,用左右方向鍵逐一瀏覽各類別,Esc 關閉提示框;也可開啟表格檢視閱讀全部數值。
以首次公開日期的年份計,每筆只計一次;圖中共 516 筆。最左一欄「≤1995」合併 1981 至 1995 年(11 筆),1996 年起逐年列出。最右一欄 2026 年只計到 2026-09-25,不是完整的一年,不能與前幾欄直接比較高低。另有 2 筆的首次公開日期未查證、也沒有可讀出的年份,未列入;以文字說明但開頭寫明年份的日期,依該年份計入。
經典路徑不設年限,但須逐筆寫明納入理由;年代早或知名度高本身不構成理由。納入規則與日期判定見證據標記與方法。
資料來源本站已查證文獻紀錄的首次公開日期與時期欄位
文獻清單
Acharya et al., 2019
(2019)BIM-Tracker: A model-based visual tracking approach for indoor localisation using a 3D building modelISPRS Journal of Photogrammetry and Remote Sensing, 150:157-171
DOI 10.1016/j.isprsjprs.2019.02.014程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
ACI Committee 117, 2010
(2010)Specification for Tolerances for Concrete Construction and Materials (ACI 117-10) and CommentaryACI Standard, American Concrete Institute (store designation ACI SPEC-117-10, reapproved 2015), 76 pp. per ACI store listing; ISBN 978-0-87031-379-0 (preview front matter)
論文或報告無法取得經典查證後修正
Adán et al., 2019
(2019)Autonomous Mobile Scanning Systems for the Digitization of Buildings: A ReviewRemote Sensing, 11(3), 306
同儕審查已出版已讀全文近十年MDPI
Affan et al., 2026
(2026)Incremental Semantics-Aided Meshing from LiDAR-Inertial Odometry and RGB Direct Label TransferThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIX-B2-2026:335-342
DOI 10.5194/isprs-archives-xlix-b2-2026-335-2026arXiv 2604.09478
狀態未定已讀全文近十年查證後修正方法卡
Agarwal et al., 2023
(2023)Ceres SolverSoftware (GitHub ceres-solver/ceres-solver; ceres-solver.org), version 2.2 (CITATION.cff date-released 2023-10-13)
軟體或資料集紀錄已讀部分章節經典查證後修正方法卡
Anwar & Azhar, 2026
(2026)A systematic review on the application of reality capture in the construction industrySmart and Sustainable Built Environment, 15(6), 2418-2442
DOI 10.1108/sasbe-03-2024-0079
同儕審查已出版無法取得近十年查證後修正
Arun et al., 1987
(1987)Least-Squares Fitting of Two 3-D Point SetsIEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-9(5):698-700
DOI 10.1109/tpami.1987.4767965
同儕審查已出版已讀全文經典查證後修正方法卡
Aryan et al., 2021
(2021)Planning for terrestrial laser scanning in construction: A reviewAutomation in Construction, 125, 103551
DOI 10.1016/j.autcon.2021.103551
同儕審查已出版已讀全文近十年查證後修正
Asadi et al., 2018
(2018)Vision-based integrated mobile robotic system for real-time applications in constructionAutomation in Construction, 96:470-482
DOI 10.1016/j.autcon.2018.10.009
同儕審查已出版已讀全文近十年查證後修正
Asadi et al., 2019
(2019)Real-Time Image Localization and Registration with BIM Using Perspective Alignment for Indoor Monitoring of ConstructionJournal of Computing in Civil Engineering, 33(5):04019031
DOI 10.1061/(asce)cp.1943-5487.0000847
同儕審查已出版已讀全文近十年查證後修正方法卡
Asadi et al., 2020
(2020)An integrated UGV-UAV system for construction site data collectionAutomation in Construction, 112, 103068
DOI 10.1016/j.autcon.2019.103068
同儕審查已出版已讀全文近十年查證後修正
ASTM International, 2023
(2023)Standard Test Method for Determining FF Floor Flatness and FL Floor Levelness NumbersASTM International standard E1155/E1155M-23, 9 pp. (ASTM store page)
論文或報告無法取得近十年查證後修正
Babin et al., 2019
(2019)Analysis of Robust Functions for Registration Algorithms2019 International Conference on Robotics and Automation (ICRA), pp. 1451-1457
DOI 10.1109/icra.2019.8793791arXiv 1810.01474程式碼
同儕審查已出版已讀全文近十年查證後修正
Bai et al., 2022
(2022)Faster-LIO: Lightweight Tightly Coupled Lidar-Inertial Odometry Using Parallel Sparse Incremental VoxelsIEEE Robotics and Automation Letters, 7(2):4861-4868
DOI 10.1109/lra.2022.3152830程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Bailey & Durrant-Whyte, 2006
(2006)Simultaneous localization and mapping (SLAM): part IIIEEE Robotics & Automation Magazine, 13(3):108-117
同儕審查已出版已讀全文經典查證後修正
Barfoot et al., 2014
(2014)Batch Continuous-Time Trajectory Estimation as Exactly Sparse Gaussian Process RegressionRobotics: Science and Systems X
同儕審查已出版已讀全文經典查證後修正方法卡
Barfoot, 2017
(2017)State Estimation for RoboticsCambridge University Press
同儕審查已出版已讀部分章節近十年查證後修正
Bavle et al., 2023
(2023)S-Graphs+: Real-Time Localization and Mapping Leveraging Hierarchical RepresentationsIEEE Robotics and Automation Letters, 8(8):4927-4934
DOI 10.1109/lra.2023.3290512arXiv 2212.11770程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Behley & Stachniss, 2018
(2018)Efficient Surfel-Based SLAM using 3D Laser Range Data in Urban EnvironmentsRobotics: Science and Systems XIV (RSS 2018), RSS XIV, paper p16 (proceedings URL rss14/p16.pdf)
DOI 10.15607/rss.2018.xiv.016程式碼
同儕審查已出版已讀全文近十年方法卡
Bell & Cathey, 1993
(1993)The iterated Kalman filter update as a Gauss-Newton methodIEEE Transactions on Automatic Control, 38(2):294-297
同儕審查已出版已讀全文經典方法卡
Besl & McKay, 1992
(1992)A method for registration of 3-D shapesIEEE Transactions on Pattern Analysis and Machine Intelligence, 14(2):239-256
同儕審查已出版已讀全文經典方法卡
Biber & Strasser, 2003
(2003)The normal distributions transform: a new approach to laser scan matchingProceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003), vol. 3, pp. 2743-2748
同儕審查已出版已讀全文經典方法卡
Blanco-Claraco, 2025
(2025)A flexible framework for accurate LiDAR odometry, map manipulation, and localizationThe International Journal of Robotics Research, 44(9):1553-1599
DOI 10.1177/02783649251316881arXiv 2407.20465程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Bloesch et al., 2015
(2015)Robust visual inertial odometry using a direct EKF-based approach2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 298-304
DOI 10.1109/iros.2015.7353389程式碼
同儕審查已出版已讀全文經典查證後修正方法卡
Blum et al., 2021
(2021)Precise Robot Localization in Architectural 3D PlansProceedings of the 38th International Symposium on Automation and Robotics in Construction (ISARC 2021)
DOI 10.22260/isarc2021/0102arXiv 2006.05137
同儕審查已出版已讀全文近十年方法卡
Boche et al., 2025
(2025)OKVIS2-X: Open Keyframe-Based Visual-Inertial SLAM Configurable With Dense Depth or LiDAR, and GNSSIEEE Transactions on Robotics, 41, pp. 6064-6083
DOI 10.1109/tro.2025.3619051arXiv 2510.04612程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Borrmann et al., 2008
(2008)Globally consistent 3D mapping with scan matchingRobotics and Autonomous Systems, 56(2): 130-142
DOI 10.1016/j.robot.2007.07.002程式碼
同儕審查已出版已讀全文經典查證後修正方法卡
Borrmann et al., 2014
(2014)A mobile robot based system for fully automated thermal 3D mappingAdvanced Engineering Informatics, 28(4):425-440
同儕審查已出版已讀全文經典查證後修正方法卡
Bosché & Guenet, 2014
(2014)Automating surface flatness control using terrestrial laser scanning and building information modelsAutomation in Construction, 44, 212-226
DOI 10.1016/j.autcon.2014.03.028
同儕審查已出版已讀全文經典查證後修正方法卡
Bosché, 2010
(2010)Automated recognition of 3D CAD model objects in laser scans and calculation of as-built dimensions for dimensional compliance control in constructionAdvanced Engineering Informatics, 24(1), 107-118
同儕審查已出版已讀全文經典查證後修正方法卡
Bosché, 2012
(2012)Plane-based registration of construction laser scans with 3D/4D building modelsAdvanced Engineering Informatics, 26(1):90-102
同儕審查已出版已讀全文經典查證後修正
Bosse & Zlot, 2009
(2009)Continuous 3D scan-matching with a spinning 2D laser2009 IEEE International Conference on Robotics and Automation (ICRA), 4312-4319
DOI 10.1109/robot.2009.5152851
同儕審查已出版已讀全文經典查證後修正方法卡
Bosse et al., 2012
(2012)Zebedee: Design of a Spring-Mounted 3-D Range Sensor with Application to Mobile MappingIEEE Transactions on Robotics, 28(5): 1104-1119
同儕審查已出版已讀全文經典查證後修正方法卡
Bouaziz et al., 2013
(2013)Sparse Iterative Closest PointComputer Graphics Forum, 32(5):113-123
同儕審查已出版已讀全文經典查證後修正方法卡
Bresson et al., 2017
(2017)Simultaneous Localization and Mapping: A Survey of Current Trends in Autonomous DrivingIEEE Transactions on Intelligent Vehicles, 2(3):194-220
同儕審查已出版已讀全文近十年
Brossard et al., 2020
(2020)A New Approach to 3D ICP Covariance EstimationIEEE Robotics and Automation Letters, 5(2), pp. 744-751
DOI 10.1109/lra.2020.2965391arXiv 1909.05722程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Bueno et al., 2018
(2018)4-Plane congruent sets for automatic registration of as-is 3D point clouds with 3D BIM modelsAutomation in Construction, 89:120-134
DOI 10.1016/j.autcon.2018.01.014
同儕審查已出版已讀全文近十年查證後修正
Burnett et al., 2025
(2025)Continuous-Time Radar-Inertial and Lidar-Inertial Odometry Using a Gaussian Process Motion PriorIEEE Transactions on Robotics, 41:1059-1076
DOI 10.1109/tro.2024.3521856arXiv 2402.06174程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Burri et al., 2016
(2016)The EuRoC micro aerial vehicle datasetsThe International Journal of Robotics Research, 35(10):1157-1163
同儕審查已出版已讀全文經典
Cadena et al., 2016
(2016)Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception AgeIEEE Transactions on Robotics, 32(6):1309-1332
DOI 10.1109/tro.2016.2624754arXiv 1606.05830
同儕審查已出版已讀全文經典查證後修正
Cai et al., 2021
(2021)ikd-Tree: An Incremental K-D Tree for Robotic ApplicationsarXiv preprint
預印本已讀全文近十年查證後修正方法卡
Campos et al., 2021
(2021)ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual–Inertial, and Multimap SLAMIEEE Transactions on Robotics, 37(6):1874-1890
DOI 10.1109/tro.2021.3075644arXiv 2007.11898程式碼
同儕審查已出版已讀全文近十年方法卡
Camurri et al., 2020
(2020)Pronto: A Multi-Sensor State Estimator for Legged Robots in Real-World ScenariosFrontiers in Robotics and AI, 7, article 68
DOI 10.3389/frobt.2020.00068程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Cao et al., 2022
(2022)GVINS: Tightly Coupled GNSS–Visual–Inertial Fusion for Smooth and Consistent State EstimationIEEE Transactions on Robotics, 38(4):2004-2021
DOI 10.1109/tro.2021.3133730arXiv 2103.07899程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Cao et al., 2025
(2025)RESPLE: Recursive Spline Estimation for LiDAR-Based OdometryIEEE Robotics and Automation Letters, 10(10):10666-10673
DOI 10.1109/lra.2025.3604758arXiv 2504.11580程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Censi, 2007
(2007)An accurate closed-form estimate of ICP's covarianceProceedings 2007 IEEE International Conference on Robotics and Automation, pp. 3167-3172
同儕審查已出版已讀全文經典方法卡
Censi, 2008
(2008)An ICP variant using a point-to-line metric2008 IEEE International Conference on Robotics and Automation (ICRA), Pasadena, CA, pp. 19-25
DOI 10.1109/robot.2008.4543181程式碼
同儕審查已出版已讀全文經典方法卡
Chang et al., 2022
(2022)LAMP 2.0: A Robust Multi-Robot SLAM System for Operation in Challenging Large-Scale Underground EnvironmentsIEEE Robotics and Automation Letters, 7(4):9175-9182
DOI 10.1109/lra.2022.3191204arXiv 2205.13135程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Charron et al., 2019
(2019)Automated Bridge Inspection Using Mobile Ground RoboticsJournal of Structural Engineering, 145(11):04019137
DOI 10.1061/(asce)st.1943-541x.0002404
同儕審查已出版已讀全文近十年查證後修正
Charron et al., 2026
(2026)SLAM-centric visual inspection of civil infrastructureAutomation in Construction, 181, 106682
DOI 10.1016/j.autcon.2025.106682程式碼
同儕審查已出版已讀全文近十年查證後修正
Chebrolu et al., 2021
(2021)Adaptive Robust Kernels for Non-Linear Least Squares ProblemsIEEE Robotics and Automation Letters, 6(2):2240-2247
DOI 10.1109/lra.2021.3061331arXiv 2004.14938
同儕審查已出版已讀全文近十年方法卡
Chen & Luo, 2026
(2026)Indoor scan-to-BIM workflows: Progress, challenges, and future directions (2014–2024)Automation in Construction, 181 (Part A), 106578
DOI 10.1016/j.autcon.2025.106578
同儕審查已出版已讀全文近十年查證後修正
Chen & Medioni, 1992
(1992)Object modelling by registration of multiple range imagesImage and Vision Computing, 10(3):145-155
DOI 10.1016/0262-8856(92)90066-c
同儕審查已出版已讀全文經典查證後修正方法卡
Chen et al., 2019
(2019)SuMa++: Efficient LiDAR-based Semantic SLAM2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4530-4537
DOI 10.1109/iros40897.2019.8967704arXiv 2105.11320程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Chen et al., 2020
(2020)OverlapNet: Loop Closing for LiDAR-based SLAMRobotics: Science and Systems XVI
DOI 10.15607/rss.2020.xvi.009arXiv 2105.11344程式碼
同儕審查已出版已讀全文近十年方法卡
Chen et al., 2022a
(2022)Direct LiDAR Odometry: Fast Localization With Dense Point CloudsIEEE Robotics and Automation Letters, 7(2):2000-2007
DOI 10.1109/lra.2022.3142739arXiv 2110.00605程式碼
同儕審查已出版已讀全文近十年方法卡
Chen et al., 2022b
(2022)NDT-LOAM: A Real-Time Lidar Odometry and Mapping With Weighted NDT and LFAIEEE Sensors Journal, 22(4):3660-3671
DOI 10.1109/jsen.2021.3135055程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Chen et al., 2023
(2023)Direct LiDAR-Inertial Odometry: Lightweight LIO with Continuous-Time Motion Correction2023 IEEE International Conference on Robotics and Automation (ICRA), pp. 3983-3989
DOI 10.1109/icra48891.2023.10160508arXiv 2203.03749程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Chen et al., 2024
(2024)iG-LIO: An Incremental GICP-Based Tightly-Coupled LiDAR-Inertial OdometryIEEE Robotics and Automation Letters, 9(2):1883-1890
DOI 10.1109/lra.2024.3349915程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Chen et al., 2025a
(2025)Automated reality capture for indoor inspection using BIM and a multi-sensor quadruped robotAutomation in Construction, 170, 105930
DOI 10.1016/j.autcon.2024.105930
同儕審查已出版已讀全文近十年查證後修正
Chen et al., 2025b
(2025)Heterogeneous LiDAR dataset for benchmarking robust localization in diverse degenerate scenariosThe International Journal of Robotics Research, 45(1):6-22
DOI 10.1177/02783649251344967arXiv 2409.04961程式碼
同儕審查已出版已讀全文近十年查證後修正
Chen et al., 2026
(2026)Localization and navigation of construction robots: A human-centric reviewAutomation in Construction, 187, 106953
DOI 10.1016/j.autcon.2026.106953
同儕審查已出版已讀全文近十年查證後修正
Chghaf et al., 2022
(2022)Camera, LiDAR and Multi-modal SLAM Systems for Autonomous Ground Vehicles: a SurveyJournal of Intelligent & Robotic Systems, 105(1): article 2
DOI 10.1007/s10846-022-01582-8
同儕審查已出版無法取得近十年查證後修正
Choi et al., 2015
(2015)Robust reconstruction of indoor scenes2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5556-5565
DOI 10.1109/cvpr.2015.7299195程式碼
同儕審查已出版已讀全文經典查證後修正方法卡
Chowdhury et al., 2026
(2026)Video-driven Gaussian splatting for as-built building geometry with energy simulationAutomation in Construction, 188, 106981
DOI 10.1016/j.autcon.2026.106981
同儕審查已出版已讀全文近十年
Choy et al., 2019
(2019)Fully Convolutional Geometric Features2019 IEEE/CVF International Conference on Computer Vision (ICCV), pp. 8957-8965
DOI 10.1109/iccv.2019.00905程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Chung et al., 2025
(2025)Automated system of scaffold point cloud data acquisition using a robot dogAutomation in Construction, 170, 105944
DOI 10.1016/j.autcon.2024.105944
同儕審查已出版已讀全文近十年查證後修正
Cignoni et al., 1998
(1998)Metro: Measuring Error on Simplified SurfacesComputer Graphics Forum, 17(2):167-174
DOI 10.1111/1467-8659.00236程式碼
同儕審查已出版已讀全文經典查證後修正
Cioffi et al., 2022
(2022)Continuous-Time Vs. Discrete-Time Vision-Based SLAM: A Comparative StudyIEEE Robotics and Automation Letters, 7(2):2399-2406
DOI 10.1109/lra.2022.3143303arXiv 2202.08894程式碼
同儕審查已出版已讀全文近十年查證後修正
Cole & Newman, 2006
(2006)Using laser range data for 3D SLAM in outdoor environmentsProceedings 2006 IEEE International Conference on Robotics and Automation (ICRA 2006), Orlando, FL, pp. 1556-1563
DOI 10.1109/robot.2006.1641929
同儕審查已出版已讀全文經典查證後修正方法卡
Cramariuc et al., 2023
(2023)maplab 2.0 – A Modular and Multi-Modal Mapping FrameworkIEEE Robotics and Automation Letters, 8(2):520-527
DOI 10.1109/lra.2022.3227865arXiv 2212.00654程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Curless & Levoy, 1996
(1996)A volumetric method for building complex models from range imagesProceedings of the 23rd Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH '96), pp. 303-312
同儕審查已出版已讀全文經典方法卡
Czarnowski et al., 2020
(2020)DeepFactors: Real-Time Probabilistic Dense Monocular SLAMIEEE Robotics and Automation Letters, 5(2):721-728
DOI 10.1109/lra.2020.2965415arXiv 2001.05049程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Dai et al., 2017a
(2017)BundleFusion: Real-Time Globally Consistent 3D Reconstruction Using On-the-Fly Surface ReintegrationACM Transactions on Graphics, 36(3):1-18 (Crossref pages; article number not reported)
DOI 10.1145/3054739arXiv 1604.01093程式碼
同儕審查已出版已讀全文經典查證後修正方法卡
Dai et al., 2017b
(2017)ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2432-2443
DOI 10.1109/cvpr.2017.261arXiv 1702.04405
同儕審查已出版已讀全文近十年
Davison et al., 2007
(2007)MonoSLAM: Real-Time Single Camera SLAMIEEE Transactions on Pattern Analysis and Machine Intelligence, 29(6):1052-1067
DOI 10.1109/tpami.2007.1049程式碼
同儕審查已出版已讀全文經典查證後修正方法卡
Dellaert & GTSAM Contributors, 2026
(2026)GTSAM 4.3.0Zenodo, version 4.3.0
DOI 10.5281/zenodo.22866773程式碼
軟體或資料集紀錄已讀全文經典查證後修正方法卡
Dellaert & Kaess, 2006
(2006)Square Root SAM: Simultaneous Localization and Mapping via Square Root Information SmoothingThe International Journal of Robotics Research, 25(12):1181-1203
同儕審查已出版已讀全文經典查證後修正方法卡
Dellaert & Kaess, 2017
(2017)Factor Graphs for Robot PerceptionFoundations and Trends in Robotics, 6(1-2):1-139
同儕審查已出版已讀全文近十年
Dellaert, 2012
(2012)Factor Graphs and GTSAM: A Hands-on IntroductionGeorgia Institute of Technology, CP&R Technical Report GT-RIM-CP&R-2012-002, GT-RIM-CP&R-2012-002
論文或報告已讀全文經典
Dellaert, 2021
(2021)Factor Graphs: Exploiting Structure in RoboticsAnnual Review of Control, Robotics, and Autonomous Systems, 4(1):141-166
DOI 10.1146/annurev-control-061520-010504
同儕審查已出版已讀全文近十年
Dellenbach et al., 2022
(2022)CT-ICP: Real-time Elastic LiDAR Odometry with Loop Closure2022 International Conference on Robotics and Automation (ICRA), pp. 5580-5586
DOI 10.1109/icra46639.2022.9811849arXiv 2109.12979程式碼
同儕審查已出版已讀全文近十年方法卡
Deng & Gan, 2026
(2026)Motion-prior and Confidence-aware Gaussian Splatting (MCGS) SLAM for 3D scene reconstruction of indoor built environmentsAdvanced Engineering Informatics, 71, 104317
同儕審查已出版已讀全文近十年查證後修正方法卡
Deng et al., 2023
(2023)NeRF-LOAM: Neural Implicit Representation for Large-Scale Incremental LiDAR Odometry and Mapping2023 IEEE/CVF International Conference on Computer Vision (ICCV), pp. 8184-8193
DOI 10.1109/iccv51070.2023.00755arXiv 2303.10709程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Deschaud, 2018
(2018)IMLS-SLAM: Scan-to-Model Matching Based on 3D Data2018 IEEE International Conference on Robotics and Automation (ICRA), Brisbane, Australia, pp. 2480-2485
DOI 10.1109/icra.2018.8460653arXiv 1802.08633
同儕審查已出版已讀全文近十年方法卡
Di Stefano et al., 2021
(2021)Mobile 3D scan LiDAR: a literature reviewGeomatics, Natural Hazards and Risk, 12(1), 2387-2429
DOI 10.1080/19475705.2021.1964617
同儕審查已出版已讀全文近十年查證後修正
DIN, 2019
(2019)Toleranzen im Hochbau – Bauwerke (Tolerances in building construction – Buildings)DIN standard DIN 18202:2019-07, 26 pp. (DIN Media listing)
論文或報告無法取得近十年查證後修正
Dissanayake et al., 2001
(2001)A solution to the simultaneous localization and map building (SLAM) problemIEEE Transactions on Robotics and Automation, 17(3):229-241
同儕審查已出版已讀全文經典查證後修正方法卡
Dong et al., 2020
(2020)Registration of large-scale terrestrial laser scanner point clouds: A review and benchmarkISPRS Journal of Photogrammetry and Remote Sensing, 163:327-342
DOI 10.1016/j.isprsjprs.2020.03.013
同儕審查已出版已讀全文近十年
Droeschel & Behnke, 2018
(2018)Efficient Continuous-Time SLAM for 3D Lidar-Based Online Mapping2018 IEEE International Conference on Robotics and Automation (ICRA), pp. 5000-5007
DOI 10.1109/icra.2018.8461000arXiv 1810.06802
同儕審查已出版已讀全文近十年方法卡
Dubé et al., 2020
(2020)SegMap: Segment-based mapping and localization using data-driven descriptorsThe International Journal of Robotics Research, 39(2-3):339-355
DOI 10.1177/0278364919863090arXiv 1909.12837程式碼
同儕審查已出版已讀全文近十年方法卡
Duberg et al., 2024
(2024)DUFOMap: Efficient Dynamic Awareness MappingIEEE Robotics and Automation Letters, 9(6):5038-5045
DOI 10.1109/lra.2024.3387658arXiv 2403.01449程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Dulanto & Mutis, 2026
(2026)Enhancing Construction Site Inspection with a Portable LiDAR-Inertial Odometry-Based Mapping System for Cost-Effective Point-Cloud Integration with BIM and Digital DesignsConstruction Research Congress 2026, 983-992
同儕審查已出版僅讀摘要近十年查證後修正
Durrant-Whyte & Bailey, 2006
(2006)Simultaneous localization and mapping: part IIEEE Robotics & Automation Magazine, 13(2):99-110
同儕審查已出版已讀全文經典查證後修正
Ebadi et al., 2021
(2021)DARE-SLAM: Degeneracy-Aware and Resilient Loop Closing in Perceptually-Degraded EnvironmentsJournal of Intelligent & Robotic Systems, 102(1), article 2
DOI 10.1007/s10846-021-01362-warXiv 2102.05117
同儕審查已出版已讀全文近十年查證後修正方法卡
Ebadi et al., 2024
(2024)Present and Future of SLAM in Extreme Environments: The DARPA SubT ChallengeIEEE Transactions on Robotics, 40:936-959
DOI 10.1109/tro.2023.3323938arXiv 2208.01787
同儕審查已出版已讀全文近十年查證後修正
Eckenhoff et al., 2019
(2019)Closed-form preintegration methods for graph-based visual–inertial navigationThe International Journal of Robotics Research, 38(5):563-586
DOI 10.1177/0278364919835021arXiv 1805.02774
同儕審查已出版已讀全文近十年查證後修正方法卡
Elhashash et al., 2022
(2022)A Review of Mobile Mapping Systems: From Sensors to ApplicationsSensors, 22(11), 4262
同儕審查已出版已讀全文近十年MDPI
Eliazar & Parr, 2003
(2003)DP-SLAM: Fast, Robust Simultaneous Localization and Mapping Without Predetermined LandmarksProceedings of the Eighteenth International Joint Conference on Artificial Intelligence (IJCAI-03), pp. 1135-1142
同儕審查已出版已讀全文經典查證後修正方法卡
Ellmann et al., 2022
(2022)Advancements in underground mine surveys by using SLAM-enabled handheld laser scannersSurvey Review, 54(385), 363-374
DOI 10.1080/00396265.2021.1944545
同儕審查已出版僅讀摘要近十年
Endres et al., 2014
(2014)3-D Mapping With an RGB-D CameraIEEE Transactions on Robotics, 30(1):177-187
DOI 10.1109/tro.2013.2279412程式碼
同儕審查已出版已讀全文經典查證後修正方法卡
Engel et al., 2014
(2014)LSD-SLAM: Large-Scale Direct Monocular SLAMComputer Vision – ECCV 2014 (Lecture Notes in Computer Science), pp. 834-849
DOI 10.1007/978-3-319-10605-2_54程式碼
同儕審查已出版已讀全文經典查證後修正方法卡
Engel et al., 2018
(2018)Direct Sparse OdometryIEEE Transactions on Pattern Analysis and Machine Intelligence, 40(3):611-625
DOI 10.1109/tpami.2017.2658577arXiv 1607.02565程式碼
同儕審查已出版已讀全文經典方法卡
Fahle et al., 2022
(2022)Analysis of SLAM-Based Lidar Data Quality Metrics for Geotechnical Underground MonitoringMining, Metallurgy & Exploration, 39(5), 1939-1960
DOI 10.1007/s42461-022-00664-3
同儕審查已出版已讀全文近十年
Faizullin et al., 2022
(2022)Open-Source LiDAR Time Synchronization System by Mimicking GNSS-clock2022 IEEE International Symposium on Precision Clock Synchronization for Measurement, Control, and Communication (ISPCS), pp. 1-5
DOI 10.1109/ispcs55791.2022.9918446arXiv 2107.02625程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Feng et al., 2023
(2023)Crack assessment using multi-sensor fusion simultaneous localization and mapping (SLAM) and image super-resolution for bridge inspectionAutomation in Construction, 155:105047
DOI 10.1016/j.autcon.2023.105047
同儕審查已出版已讀全文近十年查證後修正
Feng et al., 2025
(2025)Evaluation of LiDAR SLAM algorithms for construction robots in large public construction sitesLow-carbon Materials and Green Construction, 3(1), article 28
DOI 10.1007/s44242-025-00092-8
同儕審查已出版已讀全文近十年查證後修正
Feng et al., 2026
(2026)Integration and evaluation of a 3D LiDAR SLAM system for construction robots in large-scale public building sitesDevelopments in the Built Environment, 26, 100913
DOI 10.1016/j.dibe.2026.100913
同儕審查已出版已讀全文近十年方法卡
Ferrari et al., 2024
(2024)MAD-ICP: It is All About Matching Data – Robust and Informed LiDAR OdometryIEEE Robotics and Automation Letters, 9(11):9175-9182
DOI 10.1109/lra.2024.3456509arXiv 2405.05828程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Ferrer, 2019
(2019)Eigen-Factors: Plane Estimation for Multi-Frame and Time-Continuous Point Cloud Alignment2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1278-1284
DOI 10.1109/iros40897.2019.8967573
同儕審查已出版已讀全文近十年查證後修正方法卡
Fischler & Bolles, 1981
(1981)Random sample consensusCommunications of the ACM, 24(6):381-395
同儕審查已出版已讀全文經典查證後修正方法卡
Forster et al., 2017a
(2017)On-Manifold Preintegration for Real-Time Visual–Inertial OdometryIEEE Transactions on Robotics, 33(1):1-21
DOI 10.1109/tro.2016.2597321arXiv 1512.02363程式碼
同儕審查已出版已讀全文經典查證後修正方法卡
Forster et al., 2017b
(2017)SVO: Semidirect Visual Odometry for Monocular and Multicamera SystemsIEEE Transactions on Robotics, 33(2):249-265
DOI 10.1109/tro.2016.2623335程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Frosi & Matteucci, 2022
(2022)ART-SLAM: Accurate Real-Time 6DoF LiDAR SLAMIEEE Robotics and Automation Letters, 7(2):2692-2699
DOI 10.1109/lra.2022.3144795arXiv 2109.05483程式碼
同儕審查已出版已讀全文近十年方法卡
Furgale et al., 2013
(2013)Unified temporal and spatial calibration for multi-sensor systems2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1280-1286
DOI 10.1109/iros.2013.6696514程式碼
同儕審查已出版已讀全文經典查證後修正方法卡
Furgale et al., 2015
(2015)Continuous-time batch trajectory estimation using temporal basis functionsThe International Journal of Robotics Research, 34(14):1688-1710
同儕審查已出版已讀全文經典查證後修正方法卡
Gan et al., 2025
(2025)Automated indoor 3D scene reconstruction with decoupled mapping using quadruped robot and LiDAR sensorComputer-Aided Civil and Infrastructure Engineering, 40(15), 2209-2226
同儕審查已出版已讀全文近十年查證後修正
Gao et al., 2018
(2018)LDSO: Direct Sparse Odometry with Loop Closure2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 2198-2204
DOI 10.1109/iros.2018.8593376arXiv 1808.01111程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Gawel et al., 2019
(2019)A Fully-Integrated Sensing and Control System for High-Accuracy Mobile Robotic Building Construction2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 2300-2307
DOI 10.1109/iros40897.2019.8967733arXiv 1912.01870
同儕審查已出版已讀全文近十年查證後修正方法卡
Geiger et al., 2011
(2011)StereoScan: Dense 3d reconstruction in real-time2011 IEEE Intelligent Vehicles Symposium (IV), pp. 963-968
DOI 10.1109/ivs.2011.5940405程式碼
同儕審查已出版已讀全文經典查證後修正方法卡
Geiger et al., 2012
(2012)Are we ready for autonomous driving? The KITTI vision benchmark suite2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 3354-3361
同儕審查已出版已讀全文經典
Gelfand et al., 2003
(2003)Geometrically stable sampling for the ICP algorithmFourth International Conference on 3-D Digital Imaging and Modeling (3DIM 2003), pp. 260-267
同儕審查已出版已讀全文經典方法卡
Geneva et al., 2018
(2018)LIPS: LiDAR-Inertial 3D Plane SLAM2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 123-130
同儕審查已出版已讀全文近十年查證後修正方法卡
Geneva et al., 2020
(2020)OpenVINS: A Research Platform for Visual-Inertial Estimation2020 IEEE International Conference on Robotics and Automation (ICRA), pp. 4666-4672
DOI 10.1109/icra40945.2020.9196524程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Ghadimzadeh Alamdari et al., 2025
(2025)A Review of Simultaneous Localization and Mapping for the Robotic-Based Nondestructive Evaluation of InfrastructuresSensors, 25(3), 712
同儕審查已出版已讀全文近十年MDPI
Girardeau-Montaut et al., 2005
(2005)Change detection on point cloud data acquired with a ground laser scannerInternational Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVI-3/W19 (ISPRS Workshop Laser scanning 2005, Enschede), XXXVI-3/W19:30-35
同儕審查已出版已讀全文經典查證後修正
Glennie et al., 2016
(2016)Calibration and Stability Analysis of the VLP-16 Laser ScannerThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-3/W4, pp. 55-60
DOI 10.5194/isprs-archives-xl-3-w4-55-2016
同儕審查已出版已讀全文經典
Glennie, 2007
(2007)Rigorous 3D error analysis of kinematic scanning LIDAR systemsJournal of Applied Geodesy, 1(3), pages not reported in Crossref
同儕審查已出版已讀全文經典方法卡
Glennie, 2012
(2012)Calibration and Kinematic Analysis of the Velodyne HDL-64E S2 Lidar SensorPhotogrammetric Engineering & Remote Sensing, 78(4), pp. 339-347
同儕審查已出版已讀全文經典方法卡
Graeter et al., 2018
(2018)LIMO: Lidar-Monocular Visual Odometry2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 7872-7879
DOI 10.1109/iros.2018.8594394arXiv 1807.07524程式碼
同儕審查已出版已讀全文近十年方法卡
Grisetti et al., 2007
(2007)Improved Techniques for Grid Mapping With Rao-Blackwellized Particle FiltersIEEE Transactions on Robotics, 23(1):34-46
DOI 10.1109/tro.2006.889486程式碼
同儕審查已出版已讀全文經典查證後修正方法卡
Grisetti et al., 2010
(2010)A Tutorial on Graph-Based SLAMIEEE Intelligent Transportation Systems Magazine, 2(4):31-43
同儕審查已出版已讀全文經典
Grupp, 2017
(2017)evo: Python package for the evaluation of odometry and SLAM.GitHub repository (software)
軟體或資料集紀錄已讀全文近十年查證後修正方法卡
Guadagnino et al., 2025a
(2025)KISS-SLAM: A Simple, Robust, and Accurate 3D LiDAR SLAM System With Enhanced Generalization Capabilities2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 5363-5370
DOI 10.1109/iros60139.2025.11246613arXiv 2503.12660程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Guadagnino et al., 2025b
(2025)Kinematic-ICP: Enhancing LiDAR Odometry with Kinematic Constraints for Wheeled Mobile Robots Moving on Planar Surfaces2025 IEEE International Conference on Robotics and Automation (ICRA), pp. 11090-11096
DOI 10.1109/icra55743.2025.11128503arXiv 2410.10277程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Gutmann & Konolige, 1999
(1999)Incremental mapping of large cyclic environmentsProceedings 1999 IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA'99), Monterey, CA, pp. 318-325
同儕審查已出版已讀全文經典查證後修正方法卡
Ha et al., 2024
(2024)RGBD GS-ICP SLAMComputer Vision - ECCV 2024 (Lecture Notes in Computer Science), pp. 180-197
DOI 10.1007/978-3-031-72764-1_11arXiv 2403.12550程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Hähnel et al., 2003a
(2003)An efficient FastSLAM algorithm for generating maps of large-scale cyclic environments from raw laser range measurementsProceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003), Las Vegas, NV, vol. 1, pp. 206-211
同儕審查已出版已讀全文經典查證後修正方法卡
Hähnel et al., 2003b
(2003)Learning compact 3D models of indoor and outdoor environments with a mobile robotRobotics and Autonomous Systems (special issue: Best Papers of the Eurobot '01 Workshop), 44(1):15-27
DOI 10.1016/s0921-8890(03)00007-1
同儕審查已出版已讀全文經典查證後修正方法卡
Han & Fang, 2018
(2018)FlashFusion: Real-time Globally Consistent Dense 3D Reconstruction using CPU ComputingRobotics: Science and Systems XIV (RSS 2018), not reported (paper 6)
同儕審查已出版已讀全文近十年查證後修正方法卡
Han et al., 2026
(2026)Full-field deformation quantification of underground tunnels using SLAM LiDAR point cloud based on unsupervised neural implicit learningTunnelling and Underground Space Technology, 175, 107777
DOI 10.1016/j.tust.2026.107777
同儕審查已出版已讀全文近十年方法卡
Handa et al., 2014
(2014)A benchmark for RGB-D visual odometry, 3D reconstruction and SLAM2014 IEEE International Conference on Robotics and Automation (ICRA), pp. 1524-1531
DOI 10.1109/icra.2014.6907054程式碼
同儕審查已出版已讀全文經典查證後修正
Hatleskog & Alexis, 2024
(2024)Probabilistic Degeneracy Detection for Point-to-Plane Error MinimizationIEEE Robotics and Automation Letters, 9(12), pp. 11234-11241
DOI 10.1109/lra.2024.3484153arXiv 2410.10784程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Hawley & Gräbe, 2022
(2022)Water leakage mapping in concrete railway tunnels using LiDAR generated point cloudsConstruction and Building Materials, 361, 129644
DOI 10.1016/j.conbuildmat.2022.129644
同儕審查已出版已讀全文近十年查證後修正
He et al., 2016
(2016)M2DP: A novel 3D point cloud descriptor and its application in loop closure detection2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 231-237
同儕審查已出版已讀全文近十年查證後修正方法卡
He et al., 2023a
(2023)Point‐LIO: Robust High‐Bandwidth Light Detection and Ranging Inertial OdometryAdvanced Intelligent Systems, 5(7):2200459
同儕審查已出版已讀全文近十年方法卡
He et al., 2023b
(2023)Symbolic Representation and Toolkit Development of Iterated Error-State Extended Kalman Filters on ManifoldsIEEE Transactions on Industrial Electronics, 70(12):12533-12544
DOI 10.1109/tie.2023.3237872arXiv 2102.03804程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Helmberger et al., 2022
(2022)The Hilti SLAM Challenge DatasetIEEE Robotics and Automation Letters, 7(3):7518-7525
DOI 10.1109/lra.2022.3183759arXiv 2109.11316
同儕審查已出版已讀全文近十年查證後修正
Hendrikx et al., 2021
(2021)Connecting Semantic Building Information Models and Robotics: An application to 2D LiDAR-based localization2021 IEEE International Conference on Robotics and Automation (ICRA), pp. 11654-11660
DOI 10.1109/icra48506.2021.9561129
同儕審查已出版已讀全文近十年查證後修正方法卡
Henry et al., 2012
(2012)RGB-D mapping: Using Kinect-style depth cameras for dense 3D modeling of indoor environmentsThe International Journal of Robotics Research, 31(5):647-663
同儕審查已出版已讀全文經典查證後修正方法卡
Hess et al., 2016
(2016)Real-time loop closure in 2D LIDAR SLAM2016 IEEE International Conference on Robotics and Automation (ICRA), pp. 1271-1278
DOI 10.1109/icra.2016.7487258程式碼
同儕審查已出版已讀全文經典查證後修正方法卡
Hinduja et al., 2019
(2019)Degeneracy-Aware Factors with Applications to Underwater SLAM2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1293-1299
DOI 10.1109/iros40897.2019.8968577
同儕審查已出版已讀全文近十年查證後修正方法卡
Hong et al., 2010
(2010)VICP: Velocity updating iterative closest point algorithm2010 IEEE International Conference on Robotics and Automation, pp. 1893-1898
DOI 10.1109/robot.2010.5509312
同儕審查已出版已讀全文經典方法卡
Hong et al., 2024
(2024)LIV-GaussMap: LiDAR-Inertial-Visual Fusion for Real-Time 3D Radiance Field Map RenderingIEEE Robotics and Automation Letters, 9(11), 9765-9772
DOI 10.1109/lra.2024.3400149arXiv 2401.14857程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Hong et al., 2025
(2025)GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multisensor Fused Odometry With Gaussian MappingIEEE Transactions on Robotics, 41: 4253-4268
DOI 10.1109/tro.2025.3582809arXiv 2501.08672程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Horn, 1987
(1987)Closed-form solution of absolute orientation using unit quaternionsJournal of the Optical Society of America A, 4(4):629-642
同儕審查已出版已讀全文經典查證後修正方法卡
Hornung et al., 2013
(2013)OctoMap: an efficient probabilistic 3D mapping framework based on octreesAutonomous Robots, 34(3):189-206
DOI 10.1007/s10514-012-9321-0程式碼
同儕審查已出版已讀全文經典查證後修正方法卡
Hsieh et al., 2023
(2023)On-site Visual Construction Management System Based on the Integration of SLAM-based AR and BIM on a Handheld DeviceKSCE Journal of Civil Engineering, 27(11), 4688-4707
同儕審查已出版已讀全文近十年查證後修正
Hu et al., 2023
(2023)Robot-assisted mobile scanning for automated 3D reconstruction and point cloud semantic segmentation of building interiorsAutomation in Construction, 152, 104949
DOI 10.1016/j.autcon.2023.104949
同儕審查已出版已讀全文近十年查證後修正
Hu et al., 2025
(2025)MapEval: Towards Unified, Robust and Efficient SLAM Map Evaluation FrameworkIEEE Robotics and Automation Letters, 10(5):4228-4235
DOI 10.1109/lra.2025.3548441arXiv 2411.17928程式碼
同儕審查已出版已讀全文近十年查證後修正
Huang et al., 2017
(2017)Visual Odometry and Mapping for Autonomous Flight Using an RGB-D CameraRobotics Research (ISRR 2011), Springer Tracts in Advanced Robotics, vol. 100 (eds. H.I. Christensen and O. Khatib), STAR 100:235-252
DOI 10.1007/978-3-319-29363-9_14程式碼
同儕審查已出版已讀全文經典查證後修正方法卡
Huang et al., 2024a
(2024)2D Gaussian Splatting for Geometrically Accurate Radiance FieldsSpecial Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers (SIGGRAPH 2024), pp. 1-11
DOI 10.1145/3641519.3657428arXiv 2403.17888程式碼
同儕審查已出版已讀全文近十年方法卡
Huang et al., 2024b
(2024)LOG-LIO: A LiDAR-Inertial Odometry With Efficient Local Geometric Information EstimationIEEE Robotics and Automation Letters, 9(1):459-466
DOI 10.1109/lra.2023.3332020arXiv 2307.09531程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Huang et al., 2024c
(2024)Photo-SLAM: Real-Time Simultaneous Localization and Photorealistic Mapping for Monocular, Stereo, and RGB-D Cameras2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 21584-21593
DOI 10.1109/cvpr52733.2024.02039arXiv 2311.16728程式碼
同儕審查已出版已讀全文近十年方法卡
Huang, 2019
(2019)Visual-Inertial Navigation: A Concise Review2019 International Conference on Robotics and Automation (ICRA), pp. 9572-9582
DOI 10.1109/icra.2019.8793604arXiv 1906.02650
同儕審查已出版已讀全文近十年
Ibrahim et al., 2019
(2019)BIM-driven mission planning and navigation for automatic indoor construction progress detection using robotic ground platformProceedings of the 2019 European Conference on Computing in Construction (EC3), Computing in Construction 1, 182-189
同儕審查已出版已讀全文近十年查證後修正
Ibrahimkhil et al., 2023
(2023)Dynamic Progress Monitoring of Masonry Construction through Mobile SLAM Mapping and As-Built ModelingBuildings, 13(4), 930
同儕審查已出版已讀全文近十年MDPI
Isaacson et al., 2023
(2023)LONER: LiDAR Only Neural Representations for Real-Time SLAMIEEE Robotics and Automation Letters, 8(12), 8042-8049
DOI 10.1109/lra.2023.3324521arXiv 2309.04937程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
JCGM, 2008
(2008)Evaluation of measurement data — Guide to the expression of uncertainty in measurementJCGM 100:2008 (GUM 1995 with minor corrections), JCGM 100:2008, first edition September 2008, corrected version 2010
論文或報告已讀全文經典
JCGM, 2012a
(2012)Evaluation of measurement data – The role of measurement uncertainty in conformity assessmentJCGM 106:2012, JCGM 106:2012 (October 2012)
論文或報告已讀全文經典查證後修正
JCGM, 2012b
(2012)International vocabulary of metrology — Basic and general concepts and associated terms (VIM), 3rd edition, 2008 version with minor correctionsJCGM 200:2012, JCGM 200:2012(E/F)
論文或報告已讀全文經典查證後修正
Jeon et al., 2025
(2025)Neural radiance fields for construction site scene representation and progress evaluation with BIMAutomation in Construction, 172, 106013
DOI 10.1016/j.autcon.2025.106013程式碼
同儕審查已出版已讀全文近十年查證後修正
Jiao et al., 2022
(2022)FusionPortable: A Multi-Sensor Campus-Scene Dataset for Evaluation of Localization and Mapping Accuracy on Diverse Platforms2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 3851-3856
DOI 10.1109/iros47612.2022.9982119arXiv 2208.11865
同儕審查已出版已讀全文近十年
Johari et al., 2023
(2023)ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance Fields2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 17408-17419
DOI 10.1109/cvpr52729.2023.01670arXiv 2211.11704程式碼
同儕審查已出版已讀全文近十年方法卡
Jung et al., 2023
(2023)Asynchronous Multiple LiDAR-Inertial Odometry Using Point-Wise Inter-LiDAR Uncertainty PropagationIEEE Robotics and Automation Letters, 8(7):4211-4218
DOI 10.1109/lra.2023.3281264arXiv 2305.16792程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Kaess et al., 2008
(2008)iSAM: Incremental Smoothing and MappingIEEE Transactions on Robotics, 24(6):1365-1378
同儕審查已出版已讀全文經典查證後修正方法卡
Kaess et al., 2012
(2012)iSAM2: Incremental smoothing and mapping using the Bayes treeThe International Journal of Robotics Research, 31(2):216-235
DOI 10.1177/0278364911430419程式碼
同儕審查已出版已讀全文經典方法卡
Kähler et al., 2015
(2015)Very High Frame Rate Volumetric Integration of Depth Images on Mobile DevicesIEEE Transactions on Visualization and Computer Graphics (ISMAR 2015 special issue), 21(11):1241-1250
DOI 10.1109/tvcg.2015.2459891程式碼
同儕審查已出版已讀全文經典查證後修正方法卡
Kayhani et al., 2022
(2022)Tag-based visual-inertial localization of unmanned aerial vehicles in indoor construction environments using an on-manifold extended Kalman filterAutomation in Construction, 135:104112
DOI 10.1016/j.autcon.2021.104112
同儕審查已出版已讀全文近十年方法卡
Kazhdan & Hoppe, 2013
(2013)Screened poisson surface reconstructionACM Transactions on Graphics, 32(3):1-13
DOI 10.1145/2487228.2487237程式碼
同儕審查已出版已讀全文經典查證後修正方法卡
Kazhdan et al., 2006
(2006)Poisson Surface ReconstructionEurographics Symposium on Geometry Processing (SGP 2006), pp. 61-70
DOI 10.2312/sgp/sgp06/061-070程式碼
同儕審查已出版已讀全文經典查證後修正方法卡
Keetha et al., 2024
(2024)SplaTAM: Splat, Track & Map 3D Gaussians for Dense RGB-D SLAM2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 21357-21366
DOI 10.1109/cvpr52733.2024.02018arXiv 2312.02126程式碼
同儕審查已出版已讀全文近十年方法卡
Keitaanniemi et al., 2023
(2023)Drift analysis and sectional post-processing of indoor simultaneous localization and mapping (SLAM)-based laser scanning dataAutomation in Construction, 147, 104700
DOI 10.1016/j.autcon.2022.104700
同儕審查已出版已讀全文近十年查證後修正
Keller et al., 2013
(2013)Real-Time 3D Reconstruction in Dynamic Scenes Using Point-Based Fusion2013 International Conference on 3D Vision (3DV), pp. 1-8
同儕審查已出版已讀全文經典查證後修正方法卡
Kelly et al., 2024
(2024)Assessment of Slam Lidar - An Accuracy Assessment and Drift Anaylsis of the Leica BLK2GOIGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, 6404-6407
DOI 10.1109/igarss53475.2024.10641469
同儕審查已出版已讀全文近十年
Kerbl et al., 2023
(2023)3D Gaussian Splatting for Real-Time Radiance Field RenderingACM Transactions on Graphics, 42(4), 1-14
DOI 10.1145/3592433arXiv 2308.04079程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Kerl et al., 2013
(2013)Dense visual SLAM for RGB-D cameras2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 2100-2106
DOI 10.1109/iros.2013.6696650程式碼
同儕審查已出版已讀全文經典查證後修正方法卡
Khattak et al., 2020
(2020)Complementary Multi–Modal Sensor Fusion for Resilient Robot Pose Estimation in Subterranean Environments2020 International Conference on Unmanned Aircraft Systems (ICUAS), pp. 1024-1029
DOI 10.1109/icuas48674.2020.9213865程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Khoshelham et al., 2017
(2017)THE ISPRS BENCHMARK ON INDOOR MODELLINGThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Geospatial Week 2017, Wuhan), XLII-2/W7:367-372
DOI 10.5194/isprs-archives-xlii-2-w7-367-2017
同儕審查已出版已讀全文近十年查證後修正
Khoshelham et al., 2021
(2021)Results of the ISPRS benchmark on indoor modellingISPRS Open Journal of Photogrammetry and Remote Sensing, 2:100008
DOI 10.1016/j.ophoto.2021.100008
同儕審查已出版已讀全文近十年
Kim & Kim, 2018
(2018)Scan Context: Egocentric Spatial Descriptor for Place Recognition Within 3D Point Cloud Map2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4802-4809
DOI 10.1109/iros.2018.8593953程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Kim & Kim, 2020
(2020)Remove, then Revert: Static Point cloud Map Construction using Multiresolution Range Images2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 10758-10765
DOI 10.1109/iros45743.2020.9340856程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Kim & Kim, 2022
(2022)LT-mapper: A Modular Framework for LiDAR-based Lifelong Mapping2022 International Conference on Robotics and Automation (ICRA), pp. 7995-8002
DOI 10.1109/icra46639.2022.9811916arXiv 2107.07712程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Kim et al., 2018a
(2018)Automated Point Cloud Registration Using Visual and Planar Features for Construction EnvironmentsJournal of Computing in Civil Engineering, 32(2):04017076
DOI 10.1061/(asce)cp.1943-5487.0000720
同儕審查已出版已讀全文近十年查證後修正
Kim et al., 2018b
(2018)SLAM-driven robotic mapping and registration of 3D point cloudsAutomation in Construction, 89, 38-48
DOI 10.1016/j.autcon.2018.01.009
同儕審查已出版已讀全文近十年查證後修正
Kim et al., 2019
(2019)UAV-assisted autonomous mobile robot navigation for as-is 3D data collection and registration in cluttered environmentsAutomation in Construction, 106, 102918
DOI 10.1016/j.autcon.2019.102918
同儕審查已出版已讀全文近十年
Kim et al., 2022a
(2022)Deep learning-based 3D reconstruction of scaffolds using a robot dogAutomation in Construction, 134, 104092
DOI 10.1016/j.autcon.2021.104092
同儕審查已出版已讀全文近十年查證後修正
Kim et al., 2022b
(2022)Scan Context++: Structural Place Recognition Robust to Rotation and Lateral Variations in Urban EnvironmentsIEEE Transactions on Robotics, 38(3):1856-1874
DOI 10.1109/tro.2021.3116424arXiv 2109.13494程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Klein & Murray, 2007
(2007)Parallel Tracking and Mapping for Small AR Workspaces2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality (ISMAR), pp. 1-10 as registered in Crossref (citing works often give pp. 225-234; not verified on IEEE Xplore)
DOI 10.1109/ismar.2007.4538852程式碼
同儕審查已出版已讀全文經典查證後修正方法卡
Klingensmith et al., 2015
(2015)Chisel: Real Time Large Scale 3D Reconstruction Onboard a Mobile Device using Spatially Hashed Signed Distance FieldsRobotics: Science and Systems XI (RSS 2015), not reported (paper 40)
DOI 10.15607/rss.2015.xi.040程式碼
同儕審查已出版已讀全文經典查證後修正方法卡
Knapitsch et al., 2017
(2017)Tanks and temples: benchmarking large-scale scene reconstructionACM Transactions on Graphics, 36(4):1-13
同儕審查已出版已讀全文近十年
Kohlbrecher et al., 2011
(2011)A flexible and scalable SLAM system with full 3D motion estimation2011 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), pp. 155-160
DOI 10.1109/ssrr.2011.6106777程式碼
同儕審查已出版已讀全文經典查證後修正方法卡
Koide et al., 2019
(2019)A portable three-dimensional LIDAR-based system for long-term and wide-area people behavior measurementInternational Journal of Advanced Robotic Systems, 16(2), article 1729881419841532
DOI 10.1177/1729881419841532程式碼
同儕審查已出版已讀全文近十年查證後修正
Koide et al., 2021a
(2021)Interactive 3D Graph SLAM for Map CorrectionIEEE Robotics and Automation Letters, 6(1):40-47
DOI 10.1109/lra.2020.3028828程式碼
同儕審查已出版已讀全文近十年方法卡
Koide et al., 2021b
(2021)Voxelized GICP for Fast and Accurate 3D Point Cloud Registration2021 IEEE International Conference on Robotics and Automation (ICRA), pp. 11054-11059
DOI 10.1109/icra48506.2021.9560835程式碼
同儕審查已出版已讀全文近十年方法卡
Koide et al., 2024
(2024)GLIM: 3D range-inertial localization and mapping with GPU-accelerated scan matching factorsRobotics and Autonomous Systems, 179:104750
DOI 10.1016/j.robot.2024.104750arXiv 2407.10344程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Koide, 2024
(2024)small_gicp: Efficient and parallel algorithms for point cloud registrationJournal of Open Source Software, 9(100):6948
同儕審查已出版已讀全文近十年方法卡
Konolige et al., 2010
(2010)Efficient Sparse Pose Adjustment for 2D mapping2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2010), Taipei, Taiwan, pp. 22-29
DOI 10.1109/iros.2010.5649043程式碼
同儕審查已出版已讀全文經典查證後修正方法卡
Křemen et al., 2024
(2024)Long-distance SLAM scanning of mine tunnel - testing of precision and accuracy of Emesent Hovermap ST-XActa Montanistica Slovaca, 29(3), 630-642
同儕審查已出版已讀全文近十年查證後修正
Křemen et al., 2025
(2025)Determining the accuracy of SLAM and SLAM GNSS-RTK scanning for monitoring earthworksActa Montanistica Slovaca, 30(4), 934-946
同儕審查已出版已讀全文近十年
Kümmerle et al., 2009
(2009)On measuring the accuracy of SLAM algorithmsAutonomous Robots, 27(4):387-407
同儕審查已出版已讀全文經典查證後修正
Kümmerle et al., 2011
(2011)g2o: A general framework for graph optimization2011 IEEE International Conference on Robotics and Automation (ICRA), pp. 3607-3613
DOI 10.1109/icra.2011.5979949程式碼
同儕審查已出版已讀全文經典查證後修正方法卡
Labbé & Michaud, 2019
(2019)RTAB‐Map as an open‐source lidar and visual simultaneous localization and mapping library for large‐scale and long‐term online operationJournal of Field Robotics, 36(2):416-446
DOI 10.1002/rob.21831arXiv 2403.06341程式碼
同儕審查已出版已讀全文近十年方法卡
Laconte et al., 2019
(2019)Lidar Measurement Bias Estimation via Return Waveform Modelling in a Context of 3D Mapping2019 International Conference on Robotics and Automation (ICRA), pp. 8100-8106
DOI 10.1109/icra.2019.8793671arXiv 1810.01619
同儕審查已出版已讀全文近十年查證後修正方法卡
Lague et al., 2013
(2013)Accurate 3D comparison of complex topography with terrestrial laser scanner: Application to the Rangitikei canyon (N-Z)ISPRS Journal of Photogrammetry and Remote Sensing, 82:10-26
DOI 10.1016/j.isprsjprs.2013.04.009arXiv 1302.1183
同儕審查已出版已讀全文經典查證後修正
Landry et al., 2019
(2019)CELLO-3D: Estimating the Covariance of ICP in the Real World2019 International Conference on Robotics and Automation (ICRA), pp. 8190-8196
DOI 10.1109/icra.2019.8793516arXiv 1810.01470
同儕審查已出版已讀全文近十年方法卡
Lang et al., 2023
(2023)Coco-LIC: Continuous-Time Tightly-Coupled LiDAR-Inertial-Camera Odometry Using Non-Uniform B-SplineIEEE Robotics and Automation Letters, 8(11): 7074-7081
DOI 10.1109/lra.2023.3315542arXiv 2309.09808程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Lang et al., 2025
(2025)Gaussian-LIC: Real-Time Photo-Realistic SLAM with Gaussian Splatting and LiDAR-Inertial-Camera Fusion2025 IEEE International Conference on Robotics and Automation (ICRA), pp. 8500-8507
DOI 10.1109/icra55743.2025.11128712arXiv 2404.06926程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Le Gentil et al., 2018
(2018)3D Lidar-IMU Calibration Based on Upsampled Preintegrated Measurements for Motion Distortion Correction2018 IEEE International Conference on Robotics and Automation (ICRA), pp. 2149-2155
同儕審查已出版已讀全文近十年方法卡
Le Gentil et al., 2020
(2020)Gaussian Process Preintegration for Inertial-Aided State EstimationIEEE Robotics and Automation Letters, 5(2):2108-2114
同儕審查已出版已讀全文近十年查證後修正方法卡
Le Gentil et al., 2021
(2021)IN2LAAMA: Inertial Lidar Localization Autocalibration and MappingIEEE Transactions on Robotics, 37(1):275-290
DOI 10.1109/tro.2020.3018641arXiv 1905.09517
同儕審查已出版已讀全文近十年查證後修正方法卡
Lee et al., 2024a
(2024)ConPR: Ongoing Construction Site Dataset for Place RecognitionarXiv preprint (IROS 2023 Workshop on Closing the Loop on Localization)
預印本已讀全文近十年
Lee et al., 2024b
(2024)LiDAR odometry survey: recent advancements and remaining challengesIntelligent Service Robotics, 17(2):95-118
DOI 10.1007/s11370-024-00515-8arXiv 2312.17487
同儕審查已出版已讀全文近十年
Lee et al., 2025a
(2025)GenZ-ICP: Generalizable and Degeneracy-Robust LiDAR Odometry Using an Adaptive WeightingIEEE Robotics and Automation Letters, 10(1):152-159
DOI 10.1109/lra.2024.3498779arXiv 2411.06766程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Lee et al., 2025b
(2025)MINS: Efficient and Robust Multisensor-Aided Inertial Navigation SystemJournal of Field Robotics, 42(7), pp. 3252-3284
DOI 10.1002/rob.22546arXiv 2309.15390程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Leroy et al., 2024
(2024)Grounding Image Matching in 3D with MASt3RComputer Vision - ECCV 2024 (Lecture Notes in Computer Science), LNCS, pp. 71-91 (Crossref published-print 2025)
DOI 10.1007/978-3-031-73220-1_5arXiv 2406.09756程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Leutenegger et al., 2015
(2015)Keyframe-based visual–inertial odometry using nonlinear optimizationThe International Journal of Robotics Research, 34(3):314-334
DOI 10.1177/0278364914554813程式碼
同儕審查已出版已讀全文經典查證後修正方法卡
Li & Mourikis, 2013
(2013)High-precision, consistent EKF-based visual-inertial odometryThe International Journal of Robotics Research, 32(6):690-711
同儕審查已出版已讀全文經典查證後修正方法卡
Li & Mourikis, 2014
(2014)Online temporal calibration for camera–IMU systems: Theory and algorithmsThe International Journal of Robotics Research, 33(7), pp. 947-964
同儕審查已出版已讀全文經典方法卡
Li et al., 2019
(2019)LO-Net: Deep Real-Time Lidar Odometry2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 8465-8474 (Crossref); the CVF open-access PDF footer shows 8473-8482
DOI 10.1109/cvpr.2019.00867arXiv 1904.08242
同儕審查已出版已讀全文近十年查證後修正方法卡
Li et al., 2021a
(2021)SA-LOAM: Semantic-aided LiDAR SLAM with Loop Closure2021 IEEE International Conference on Robotics and Automation (ICRA), pp. 7627-7634
DOI 10.1109/icra48506.2021.9560884arXiv 2106.11516
同儕審查已出版已讀全文近十年方法卡
Li et al., 2021b
(2021)Towards High-Performance Solid-State-LiDAR-Inertial Odometry and MappingIEEE Robotics and Automation Letters, 6(3): 5167-5174
DOI 10.1109/lra.2021.3070251arXiv 2010.13150程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Li et al., 2025
(2025)A Real World Visual SLAM Dataset for Indoor Construction SitesProceedings of the Sixth International Conference on Civil and Building Engineering Informatics (ICCBEI 2025), Kalpa Publications in Computing, vol. 22, pp. 368-379
狀態未定已讀全文近十年查證後修正
Li et al., 2026a
(2026)A structured review of SLAM generation in the AEC industry: Technical framework, site-specific challenges, and adaptive strategiesKSCE Journal of Civil Engineering, 30(3), 100408
DOI 10.1016/j.kscej.2025.100408
同儕審查已出版已讀全文近十年查證後修正
Li et al., 2026b
(2026)An integrated LiDAR-Inertial-Visual framework for tunnel digital twins under construction: 3D reconstruction, centerline sampling, and point cloud semantic segmentationTunnelling and Underground Space Technology, 175: 107815
DOI 10.1016/j.tust.2026.107815
同儕審查已出版已讀全文近十年查證後修正
Lichti, 2007
(2007)Error modelling, calibration and analysis of an AM–CW terrestrial laser scanner systemISPRS Journal of Photogrammetry and Remote Sensing, 61(5), pp. 307-324
DOI 10.1016/j.isprsjprs.2006.10.004
同儕審查已出版已讀全文經典方法卡
Lim et al., 2021
(2021)ERASOR: Egocentric Ratio of Pseudo Occupancy-Based Dynamic Object Removal for Static 3D Point Cloud Map BuildingIEEE Robotics and Automation Letters, 6(2):2272-2279
DOI 10.1109/lra.2021.3061363arXiv 2103.04316程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Lim et al., 2023
(2023)AdaLIO: Robust Adaptive LiDAR-Inertial Odometry in Degenerate Indoor Environments2023 20th International Conference on Ubiquitous Robots (UR), pp. 48-53
DOI 10.1109/ur57808.2023.10202252arXiv 2304.12577
同儕審查已出版已讀全文近十年方法卡
Lim et al., 2024
(2024)Quatro++: Robust global registration exploiting ground segmentation for loop closing in LiDAR SLAMThe International Journal of Robotics Research, 43(5):685-715
DOI 10.1177/02783649231207654arXiv 2311.00928程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Lim et al., 2025
(2025)KISS-Matcher: Fast and Robust Point Cloud Registration Revisited2025 IEEE International Conference on Robotics and Automation (ICRA), pp. 11104-11111
DOI 10.1109/icra55743.2025.11127458arXiv 2409.15615程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Lin & Zhang, 2020
(2020)Loam livox: A fast, robust, high-precision LiDAR odometry and mapping package for LiDARs of small FoV2020 IEEE International Conference on Robotics and Automation (ICRA), pp. 3126-3131
DOI 10.1109/icra40945.2020.9197440arXiv 1909.06700程式碼
同儕審查已出版已讀全文近十年方法卡
Lin & Zhang, 2022
(2022)R$^3$LIVE: A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package2022 International Conference on Robotics and Automation (ICRA), pp. 10672-10678
DOI 10.1109/icra46639.2022.9811935arXiv 2109.07982程式碼
同儕審查已出版已讀全文近十年方法卡
Lin & Zhang, 2024
(2024)R3LIVE++: A Robust, Real-Time, Radiance Reconstruction Package With a Tightly-Coupled LiDAR-Inertial-Visual State EstimatorIEEE Transactions on Pattern Analysis and Machine Intelligence, 46(12): 11168-11185
DOI 10.1109/tpami.2024.3456473arXiv 2209.03666程式碼
同儕審查已出版已讀全文近十年方法卡
Lin et al., 2021
(2021)R$^2$LIVE: A Robust, Real-Time, LiDAR-Inertial-Visual Tightly-Coupled State Estimator and MappingIEEE Robotics and Automation Letters, 6(4): 7469-7476
DOI 10.1109/lra.2021.3095515arXiv 2102.12400程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Lin et al., 2023
(2023)ImMesh: An Immediate LiDAR Localization and Meshing FrameworkIEEE Transactions on Robotics, 39(6):4312-4331
DOI 10.1109/tro.2023.3321227arXiv 2301.05206程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Lipson et al., 2024
(2024)Deep Patch Visual SLAMComputer Vision - ECCV 2024 (Lecture Notes in Computer Science), pp. 424-440
DOI 10.1007/978-3-031-72627-9_24arXiv 2408.01654程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Liso et al., 2024
(2024)Loopy-SLAM: Dense Neural SLAM with Loop Closures2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 20363-20373
DOI 10.1109/cvpr52733.2024.01925arXiv 2402.09944程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Liu & Zhang, 2021
(2021)BALM: Bundle Adjustment for Lidar MappingIEEE Robotics and Automation Letters, 6(2):3184-3191
DOI 10.1109/lra.2021.3062815arXiv 2010.08215程式碼
同儕審查已出版已讀全文近十年方法卡
Liu et al., 2023a
(2023)Efficient and Consistent Bundle Adjustment on Lidar Point CloudsIEEE Transactions on Robotics, 39(6):4366-4386
DOI 10.1109/tro.2023.3311671arXiv 2209.08854程式碼
同儕審查已出版已讀全文近十年方法卡
Liu et al., 2023b
(2023)Large-Scale LiDAR Consistent Mapping Using Hierarchical LiDAR Bundle AdjustmentIEEE Robotics and Automation Letters, 8(3):1523-1530
DOI 10.1109/lra.2023.3238902arXiv 2209.11939程式碼
同儕審查已出版已讀全文近十年方法卡
Liu et al., 2024
(2024)GLIO: Tightly-Coupled GNSS/LiDAR/IMU Integration for Continuous and Drift-Free State Estimation of Intelligent Vehicles in Urban AreasIEEE Transactions on Intelligent Vehicles, 9(1), pp. 1412-1422
DOI 10.1109/tiv.2023.3323648程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Liu et al., 2025
(2025)SLAM3R: Real-Time Dense Scene Reconstruction from Monocular RGB Videos2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 16651-16662
DOI 10.1109/cvpr52734.2025.01552arXiv 2412.09401程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Liu et al., 2026
(2026)Voxel‐SLAM: A Complete, Accurate, and Versatile Light Detection and Ranging‐Inertial Simultaneous Localization and Mapping SystemAdvanced Intelligent Systems, 8(4):e202501081
DOI 10.1002/aisy.202501081arXiv 2410.08935程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Lorensen & Cline, 1987
(1987)Marching cubes: A high resolution 3D surface construction algorithmProceedings of the 14th Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH '87), pp. 163-169
同儕審查已出版已讀全文經典查證後修正方法卡
Lu & Milios, 1997
(1997)Globally Consistent Range Scan Alignment for Environment MappingAutonomous Robots, 4(4):333-349
同儕審查已出版已讀全文經典查證後修正方法卡
Luo et al., 2026
(2026)Indoor scan-to-BIM automation: From mobile perception to 3D building modellingAutomation in Construction, 182, 106731
DOI 10.1016/j.autcon.2025.106731
同儕審查已出版已讀全文近十年查證後修正
Lupton & Sukkarieh, 2012
(2012)Visual-Inertial-Aided Navigation for High-Dynamic Motion in Built Environments Without Initial ConditionsIEEE Transactions on Robotics, 28(1):61-76
同儕審查已出版已讀全文經典查證後修正方法卡
Lv et al., 2020
(2020)Targetless Calibration of LiDAR-IMU System Based on Continuous-time Batch Estimation2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 9968-9975
DOI 10.1109/iros45743.2020.9341405arXiv 2007.14759程式碼
同儕審查已出版已讀全文近十年方法卡
Lv et al., 2021
(2021)CLINS: Continuous-Time Trajectory Estimation for LiDAR-Inertial System2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 6657-6663
DOI 10.1109/iros51168.2021.9636676arXiv 2109.04687程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Lv et al., 2023
(2023)Continuous-Time Fixed-Lag Smoothing for LiDAR-Inertial-Camera SLAMIEEE/ASME Transactions on Mechatronics, 28(4), pp. 2259-2270
DOI 10.1109/tmech.2023.3241398arXiv 2302.07456程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Macenski & Jambrecic, 2021
(2021)SLAM Toolbox: SLAM for the dynamic worldJournal of Open Source Software, 6(61):2783
同儕審查已出版已讀全文近十年查證後修正方法卡
Maggio et al., 2025
(2025)VGGT-SLAM: Dense RGB SLAM Optimized on the SL(4) ManifoldAdvances in Neural Information Processing Systems 38 (NeurIPS 2025), pp. 143976-144004
DOI 10.52202/085713-4324arXiv 2505.12549程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Magnusson et al., 2007
(2007)Scan registration for autonomous mining vehicles using 3D-NDTJournal of Field Robotics, 24(10):803-827
同儕審查已出版已讀全文經典方法卡
Magnusson et al., 2009
(2009)Evaluation of 3D registration reliability and speed - A comparison of ICP and NDT2009 IEEE International Conference on Robotics and Automation (ICRA), Kobe, Japan, pp. 3907-3912 (Crossref; same range listed in magnusson2009thesis publication list)
DOI 10.1109/robot.2009.5152538
同儕審查已出版已讀全文經典查證後修正
Magnusson et al., 2015
(2015)Beyond points: Evaluating recent 3D scan-matching algorithms2015 IEEE International Conference on Robotics and Automation (ICRA), Seattle, WA, USA, pp. 3631-3637
DOI 10.1109/icra.2015.7139703程式碼
同儕審查已出版已讀全文經典
Magnusson, 2009
(2009)The three-dimensional normal-distributions transform: an efficient representation for registration, surface analysis, and loop detectionÖrebro Studies in Technology 36 (doctoral dissertation, Örebro University), Örebro Studies in Technology 36; ISBN 978-91-7668-696-6
論文或報告已讀全文經典方法卡
Makkonen et al., 2017
(2017)Using SLAM-based Handheld Laser Scanning to Gain Information on Difficult-to-Access Areas for Use in Maintenance ModelProceedings of the 34th International Symposium on Automation and Robotics in Construction (ISARC 2017), 887-892
同儕審查已出版已讀全文近十年
Malladi et al., 2026
(2026)Robust Approach for LiDAR-Inertial Odometry Without Sensor-Specific ModelingIEEE Robotics and Automation Letters, 11(6):7420-7427
DOI 10.1109/lra.2026.3685966arXiv 2509.06593程式碼
同儕審查已出版已讀全文近十年方法卡
Matsuki et al., 2024
(2024)Gaussian Splatting SLAM2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 18039-18048
DOI 10.1109/cvpr52733.2024.01708arXiv 2312.06741程式碼
同儕審查已出版已讀全文近十年方法卡
Mildenhall et al., 2020
(2020)NeRF: Representing Scenes as Neural Radiance Fields for View SynthesisComputer Vision - ECCV 2020 (Lecture Notes in Computer Science), LNCS, pp. 405-421
DOI 10.1007/978-3-030-58452-8_24arXiv 2003.08934程式碼
同儕審查已出版已讀全文近十年方法卡
Millane et al., 2018
(2018)C-blox: A Scalable and Consistent TSDF-based Dense Mapping Approach2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 995-1002
DOI 10.1109/iros.2018.8593427arXiv 1710.07242程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Millane et al., 2024
(2024)nvblox: GPU-Accelerated Incremental Signed Distance Field Mapping2024 IEEE International Conference on Robotics and Automation (ICRA), pp. 2698-2705
DOI 10.1109/icra57147.2024.10611532arXiv 2311.00626程式碼
同儕審查已出版已讀全文近十年方法卡
Mirzaei et al., 2022
(2022)3D point cloud data processing with machine learning for construction and infrastructure applications: A comprehensive reviewAdvanced Engineering Informatics, 51, 101501
同儕審查已出版已讀全文近十年查證後修正
Montemerlo et al., 2002
(2002)FastSLAM: A Factored Solution to the Simultaneous Localization and Mapping ProblemProceedings of the Eighteenth National Conference on Artificial Intelligence (AAAI-02), pp. 593-598
同儕審查已出版已讀全文經典方法卡
Montemerlo et al., 2003
(2003)FastSLAM 2.0: An Improved Particle Filtering Algorithm for Simultaneous Localization and Mapping that Provably ConvergesProceedings of the Eighteenth International Joint Conference on Artificial Intelligence (IJCAI-03), pp. 1151-1156
同儕審查已出版已讀全文經典查證後修正方法卡
Moosmann & Stiller, 2011
(2011)Velodyne SLAM2011 IEEE Intelligent Vehicles Symposium (IV), Baden-Baden, Germany, pp. 393-398
DOI 10.1109/ivs.2011.5940396程式碼
同儕審查已出版已讀全文經典方法卡
Moura et al., 2021
(2021)BIM-based Localization and Mapping for Mobile Robots in Construction2021 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), pp. 12-18
DOI 10.1109/icarsc52212.2021.9429779
同儕審查已出版已讀全文近十年查證後修正方法卡
Mourikis & Roumeliotis, 2007
(2007)A Multi-State Constraint Kalman Filter for Vision-aided Inertial NavigationProceedings 2007 IEEE International Conference on Robotics and Automation (ICRA), pp. 3565-3572
同儕審查已出版已讀全文經典查證後修正方法卡
Mur-Artal & Tardos, 2017
(2017)ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D CamerasIEEE Transactions on Robotics, 33(5):1255-1262
DOI 10.1109/tro.2017.2705103arXiv 1610.06475程式碼
同儕審查已出版已讀全文近十年方法卡
Mur-Artal et al., 2015
(2015)ORB-SLAM: A Versatile and Accurate Monocular SLAM SystemIEEE Transactions on Robotics, 31(5):1147-1163
DOI 10.1109/tro.2015.2463671arXiv 1502.00956程式碼
同儕審查已出版已讀全文經典方法卡
Murai et al., 2025
(2025)MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 16695-16705
DOI 10.1109/cvpr52734.2025.01556arXiv 2412.12392程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Museth, 2013
(2013)VDB: High-resolution sparse volumes with dynamic topologyACM Transactions on Graphics, 32(3):1-22
DOI 10.1145/2487228.2487235程式碼
同儕審查已出版已讀全文經典查證後修正方法卡
Nair et al., 2024
(2024)Hilti SLAM Challenge 2023: Benchmarking Single + Multi-Session SLAM Across Sensor Constellations in ConstructionIEEE Robotics and Automation Letters, 9(8):7286-7293
DOI 10.1109/lra.2024.3421791arXiv 2404.09765程式碼
同儕審查已出版已讀全文近十年查證後修正
Neuhaus et al., 2019
(2019)MC2SLAM: Real-Time Inertial Lidar Odometry Using Two-Scan Motion CompensationPattern Recognition (GCPR 2018), Lecture Notes in Computer Science 11269, LNCS 11269, pp. 60-72
DOI 10.1007/978-3-030-12939-2_5
同儕審查已出版已讀全文近十年查證後修正方法卡
Newcombe et al., 2011a
(2011)DTAM: Dense tracking and mapping in real-time2011 International Conference on Computer Vision (ICCV), pp. 2320-2327
同儕審查已出版已讀全文經典查證後修正方法卡
Newcombe et al., 2011b
(2011)KinectFusion: Real-time dense surface mapping and tracking2011 10th IEEE International Symposium on Mixed and Augmented Reality (ISMAR), pp. 127-136
DOI 10.1109/ismar.2011.6092378
同儕審查已出版已讀全文經典查證後修正方法卡
Nguyen et al., 2023
(2023)SLICT: Multi-Input Multi-Scale Surfel-Based Lidar-Inertial Continuous-Time Odometry and MappingIEEE Robotics and Automation Letters, 8(4):2102-2109
DOI 10.1109/lra.2023.3246390arXiv 2211.03900程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Nießner et al., 2013
(2013)Real-time 3D reconstruction at scale using voxel hashingACM Transactions on Graphics, 32(6):1-11 (Crossref pages)
DOI 10.1145/2508363.2508374程式碼
同儕審查已出版已讀全文經典查證後修正方法卡
Nikoohemat et al., 2020
(2020)Indoor 3D reconstruction from point clouds for optimal routing in complex buildings to support disaster managementAutomation in Construction, 113, 103109
DOI 10.1016/j.autcon.2020.103109
同儕審查已出版已讀全文近十年
Nistér et al., 2004
(2004)Visual odometryProceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), vol. 1, pp. 652-659 (Crossref; IEEE Xplore metadata lists the pages only as 'I', and the PDF carries no printed page numbers)
同儕審查已出版已讀全文經典查證後修正方法卡
Nubert et al., 2021
(2021)Self-supervised Learning of LiDAR Odometry for Robotic Applications2021 IEEE International Conference on Robotics and Automation (ICRA), Xi'an, China, pp. 9601-9607
DOI 10.1109/icra48506.2021.9561063arXiv 2011.05418程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Nubert et al., 2022a
(2022)Graph-based Multi-sensor Fusion for Consistent Localization of Autonomous Construction Robots2022 International Conference on Robotics and Automation (ICRA), pp. 10048-10054
DOI 10.1109/icra46639.2022.9812386arXiv 2203.01389程式碼
同儕審查已出版已讀全文近十年查證後修正
Nubert et al., 2022b
(2022)Learning-based Localizability Estimation for Robust LiDAR Localization2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 17-24
DOI 10.1109/iros47612.2022.9982257arXiv 2203.05698
同儕審查已出版已讀全文近十年查證後修正方法卡
Nubert et al., 2026
(2026)Holistic Fusion: Task- and Setup-Agnostic Robot Localization and State Estimation With Factor GraphsIEEE Transactions on Robotics, 42, pp. 3366-3387
DOI 10.1109/tro.2026.3714645arXiv 2504.06479程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Nüchter et al., 2007
(2007)6D SLAM—3D mapping outdoor environmentsJournal of Field Robotics, 24(8-9): 699-722
同儕審查已出版已讀全文經典查證後修正方法卡
Oelsch et al., 2021
(2021)R-LOAM: Improving LiDAR Odometry and Mapping With Point-to-Mesh Features of a Known 3D Reference ObjectIEEE Robotics and Automation Letters, 6(2): 2068-2075
同儕審查已出版已讀全文近十年查證後修正方法卡
Oelsch et al., 2022
(2022)RO-LOAM: 3D Reference Object-based Trajectory and Map Optimization in LiDAR Odometry and MappingIEEE Robotics and Automation Letters, 7(3): 6806-6813
同儕審查已出版已讀全文近十年查證後修正方法卡
Oleynikova et al., 2017
(2017)Voxblox: Incremental 3D Euclidean Signed Distance Fields for on-board MAV planning2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1366-1373
DOI 10.1109/iros.2017.8202315arXiv 1611.03631程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Olson, 2010
(2010)A passive solution to the sensor synchronization problem2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1059-1064
同儕審查已出版已讀全文經典方法卡
Otero et al., 2020
(2020)Mobile indoor mapping technologies: A reviewAutomation in Construction, 120, 103399
DOI 10.1016/j.autcon.2020.103399
同儕審查已出版已讀全文近十年查證後修正
Page et al., 2021
(2021)The PRISMA 2020 statement: an updated guideline for reporting systematic reviewsBMJ, 372: n71
同儕審查已出版已讀全文近十年查證後修正
Palazzolo et al., 2019
(2019)ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 7855-7862
DOI 10.1109/iros40897.2019.8967590arXiv 1905.02082程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Palieri et al., 2021
(2021)LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-TimeIEEE Robotics and Automation Letters, 6(2):421-428
DOI 10.1109/lra.2020.3044864arXiv 2012.14447程式碼
同儕審查已出版已讀全文近十年方法卡
Pan et al., 2021
(2021)MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square2021 IEEE International Conference on Robotics and Automation (ICRA), pp. 11633-11640
DOI 10.1109/icra48506.2021.9561364arXiv 2102.03771程式碼
同儕審查已出版已讀全文近十年方法卡
Pan et al., 2024
(2024)PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map ConsistencyIEEE Transactions on Robotics, 40, 4045-4064
DOI 10.1109/tro.2024.3422055arXiv 2401.09101程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Pan et al., 2025
(2025)PINGS: Gaussian Splatting Meets Distance Fields within a Point-Based Implicit Neural MapRobotics: Science and Systems XXI
DOI 10.15607/rss.2025.xxi.040arXiv 2502.05752程式碼
同儕審查已出版已讀全文近十年方法卡
Pang et al., 2018
(2018)3D Scan Registration Based Localization for Autonomous Vehicles - A Comparison of NDT and ICP under Realistic Conditions2018 IEEE 88th Vehicular Technology Conference (VTC-Fall), Chicago, IL, USA, pp. 1-5
DOI 10.1109/vtcfall.2018.8690819
同儕審查已出版已讀全文近十年查證後修正
Park et al., 2018
(2018)Elastic LiDAR Fusion: Dense Map-Centric Continuous-Time SLAM2018 IEEE International Conference on Robotics and Automation (ICRA), pp. 1206-1213
DOI 10.1109/icra.2018.8462915arXiv 1711.01691
同儕審查已出版已讀全文近十年查證後修正方法卡
Park et al., 2022
(2022)Elasticity Meets Continuous-Time: Map-Centric Dense 3D LiDAR SLAMIEEE Transactions on Robotics, 38(2): 978-997
DOI 10.1109/tro.2021.3096650arXiv 2008.02274
同儕審查已出版已讀全文近十年查證後修正方法卡
Pătrăucean et al., 2015
(2015)State of research in automatic as-built modellingAdvanced Engineering Informatics, 29(2), 162-171
同儕審查已出版已讀全文經典
Peng et al., 2024
(2024)RTG-SLAM: Real-time 3D Reconstruction at Scale using Gaussian SplattingSIGGRAPH '24 Conference Papers (Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers), Article pp. 1-11
DOI 10.1145/3641519.3657455arXiv 2404.19706程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Pfister et al., 2000
(2000)Surfels: surface elements as rendering primitivesProceedings of the 27th Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH '00), pp. 335-342
同儕審查已出版已讀全文經典方法卡
Pfreundschuh et al., 2024
(2024)COIN-LIO: Complementary Intensity-Augmented LiDAR Inertial Odometry2024 IEEE International Conference on Robotics and Automation (ICRA), pp. 1730-1737
DOI 10.1109/icra57147.2024.10610938arXiv 2310.01235程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Pomerleau et al., 2013
(2013)Comparing ICP variants on real-world data setsAutonomous Robots, 34(3):133-148
DOI 10.1007/s10514-013-9327-2程式碼
同儕審查已出版已讀全文經典查證後修正
Pomerleau et al., 2014
(2014)Long-term 3D map maintenance in dynamic environments2014 IEEE International Conference on Robotics and Automation (ICRA), Hong Kong, pp. 3712-3719
同儕審查已出版已讀全文經典查證後修正方法卡
Pomerleau et al., 2015
(2015)A Review of Point Cloud Registration Algorithms for Mobile RoboticsFoundations and Trends in Robotics, 4(1):1-104
同儕審查已出版已讀全文經典
Potokar & Kaess, 2025
(2025)A Comprehensive Evaluation of LiDAR Odometry Techniques2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 9130-9137
DOI 10.1109/iros60139.2025.11247687arXiv 2507.16000程式碼
同儕審查已出版已讀全文近十年查證後修正
Prieto et al., 2024
(2024)Multiagent robotic systems and exploration algorithms: Applications for data collection in construction sitesJournal of Field Robotics, 41(4), 1187-1203
DOI 10.1002/rob.22316arXiv 2311.01078
同儕審查已出版已讀全文近十年查證後修正
Puente et al., 2013
(2013)Review of mobile mapping and surveying technologiesMeasurement, 46(7), 2127-2145
DOI 10.1016/j.measurement.2013.03.006
同儕審查已出版已讀全文經典查證後修正
Qian et al., 2021
(2021)RF-LIO: Removal-First Tightly-coupled Lidar Inertial Odometry in High Dynamic Environments2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4421-4428
DOI 10.1109/iros51168.2021.9636624arXiv 2206.09463
同儕審查已出版已讀全文近十年查證後修正方法卡
Qian et al., 2026
(2026)Depth-Aware Gaussian Splatting with Dynamic Masking for High-Fidelity Geometric Modeling of Shield Tunnel Digital TwinsJournal of Computing in Civil Engineering, 40(6), 04026082
同儕審查已出版已讀全文近十年查證後修正
Qin & Cao, n.d.
(n.d.)A-LOAM: Advanced implementation of LOAM (GitHub repository HKUST-Aerial-Robotics/A-LOAM)GitHub repository (HKUST Aerial Robotics Group)
軟體或資料集紀錄已讀全文近十年查證後修正方法卡
Qin et al., 2018
(2018)VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State EstimatorIEEE Transactions on Robotics, 34(4):1004-1020
DOI 10.1109/tro.2018.2853729arXiv 1708.03852程式碼
同儕審查已出版已讀全文近十年方法卡
Qin et al., 2019
(2019)A General Optimization-based Framework for Local Odometry Estimation with Multiple SensorsarXiv
預印本已讀全文近十年查證後修正方法卡
Qin et al., 2020
(2020)LINS: A Lidar-Inertial State Estimator for Robust and Efficient Navigation2020 IEEE International Conference on Robotics and Automation (ICRA), pp. 8899-8906
DOI 10.1109/icra40945.2020.9197567arXiv 1907.02233程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Qin et al., 2023
(2023)GeoTransformer: Fast and Robust Point Cloud Registration With Geometric TransformerIEEE Transactions on Pattern Analysis and Machine Intelligence, 45(8):9806-9821
DOI 10.1109/tpami.2023.3259038arXiv 2308.03768程式碼
同儕審查已出版已讀全文近十年方法卡
Qin et al., 2025
(2025)Exploring the potential of backpack SLAM LiDAR for metro tunnel inspection: explainable modeling and optimization of point cloud qualitySmart Construction, 2(3), article 0017
同儕審查已出版已讀全文近十年
Ramezani et al., 2020
(2020)The Newer College Dataset: Handheld LiDAR, Inertial and Vision with Ground Truth2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4353-4360
DOI 10.1109/iros45743.2020.9340849arXiv 2003.05691
同儕審查已出版已讀全文近十年查證後修正
Ramezani et al., 2022
(2022)Wildcat: Online Continuous-Time 3D Lidar-Inertial SLAMarXiv, arXiv:2205.12595
預印本已讀全文近十年查證後修正方法卡
Rao et al., 2022
(2022)Real-time monitoring of construction sites: Sensors, methods, and applicationsAutomation in Construction, 136, 104099
DOI 10.1016/j.autcon.2021.104099
同儕審查已出版已讀全文近十年
Rauch & Braml, 2025
(2025)Rohbau3D: A Shell Construction Site 3D Point Cloud DatasetScientific Data, 12:1478
DOI 10.1038/s41597-025-05827-7程式碼
同儕審查已出版已讀全文近十年查證後修正
Razlaw et al., 2015
(2015)Evaluation of registration methods for sparse 3D laser scans2015 European Conference on Mobile Robots (ECMR), pp. 1-7
同儕審查已出版已讀全文經典查證後修正
Rebolj et al., 2017
(2017)Point cloud quality requirements for Scan-vs-BIM based automated construction progress monitoringAutomation in Construction, 84, 323-334
DOI 10.1016/j.autcon.2017.09.021
同儕審查已出版已讀全文近十年查證後修正
Rehder et al., 2016
(2016)A General Approach to Spatiotemporal Calibration in Multisensor SystemsIEEE Transactions on Robotics, 32(2), pp. 383-398
同儕審查已出版已讀全文經典查證後修正方法卡
Reijgwart et al., 2020
(2020)Voxgraph: Globally Consistent, Volumetric Mapping Using Signed Distance Function SubmapsIEEE Robotics and Automation Letters, 5(1):227-234
DOI 10.1109/lra.2019.2953859arXiv 2004.13154程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Reinke et al., 2022
(2022)LOCUS 2.0: Robust and Computationally Efficient Lidar Odometry for Real-Time 3D MappingIEEE Robotics and Automation Letters, 7(4):9043-9050
DOI 10.1109/lra.2022.3181357arXiv 2205.11784程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Rethlefsen et al., 2021
(2021)PRISMA-S: an extension to the PRISMA Statement for Reporting Literature Searches in Systematic ReviewsSystematic Reviews, 10(1): 39
DOI 10.1186/s13643-020-01542-z
同儕審查已出版已讀全文近十年查證後修正
Rogers et al., 2020
(2020)Test Your SLAM! The SubT-Tunnel dataset and metric for mapping2020 IEEE International Conference on Robotics and Automation (ICRA), pp. 955-961
DOI 10.1109/icra40945.2020.9197156
同儕審查已出版已讀全文近十年
Rosen et al., 2021
(2021)Advances in Inference and Representation for Simultaneous Localization and MappingAnnual Review of Control, Robotics, and Autonomous Systems, 4(1):215-242
DOI 10.1146/annurev-control-072720-082553arXiv 2103.05041
同儕審查已出版已讀全文近十年查證後修正
Rosinol et al., 2020
(2020)Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping2020 IEEE International Conference on Robotics and Automation (ICRA), pp. 1689-1696
DOI 10.1109/icra40945.2020.9196885arXiv 1910.02490程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Rosinol et al., 2023
(2023)NeRF-SLAM: Real-Time Dense Monocular SLAM with Neural Radiance Fields2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 3437-3444
DOI 10.1109/iros55552.2023.10341922arXiv 2210.13641程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Rozenberszki & Majdik, 2020
(2020)LOL: Lidar-only Odometry and Localization in 3D point cloud maps2020 IEEE International Conference on Robotics and Automation (ICRA), pp. 4379-4385
DOI 10.1109/icra40945.2020.9197450arXiv 2007.01595程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Ruan et al., 2023
(2023)SLAMesh: Real-time LiDAR Simultaneous Localization and Meshing2023 IEEE International Conference on Robotics and Automation (ICRA), pp. 3546-3552
DOI 10.1109/icra48891.2023.10161425arXiv 2303.05252程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Rusinkiewicz & Levoy, 2001
(2001)Efficient variants of the ICP algorithmProceedings Third International Conference on 3-D Digital Imaging and Modeling (3DIM), pp. 145-152
同儕審查已出版已讀全文經典
Rusinkiewicz, 2019
(2019)A symmetric objective function for ICPACM Transactions on Graphics, 38(4):1-7
同儕審查已出版已讀全文近十年方法卡
Rusu & Cousins, 2011
(2011)3D is here: Point Cloud Library (PCL)2011 IEEE International Conference on Robotics and Automation (ICRA), pp. 1-4
DOI 10.1109/icra.2011.5980567程式碼
同儕審查已出版已讀全文經典查證後修正方法卡
Rusu et al., 2009
(2009)Fast Point Feature Histograms (FPFH) for 3D registration2009 IEEE International Conference on Robotics and Automation, pp. 3212-3217
DOI 10.1109/robot.2009.5152473
同儕審查已出版已讀全文經典方法卡
Salgues et al., 2020
(2020)EVALUATION OF MOBILE MAPPING SYSTEMS FOR INDOOR SURVEYSThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (15th 3D GeoInfo Conference), XLIV-4/W1-2020, 119-125
DOI 10.5194/isprs-archives-xliv-4-w1-2020-119-2020
同儕審查已出版已讀全文近十年
Sammartano & Spanò, 2018
(2018)Point clouds by SLAM-based mobile mapping systems: accuracy and geometric content validation in multisensor survey and stand-alone acquisitionApplied Geomatics, 10(4), 317-339
同儕審查已出版已讀全文近十年查證後修正
Sandström et al., 2023
(2023)Point-SLAM: Dense Neural Point Cloud-based SLAM2023 IEEE/CVF International Conference on Computer Vision (ICCV), pp. 18387-18398
DOI 10.1109/iccv51070.2023.01690arXiv 2304.04278程式碼
同儕審查已出版已讀全文近十年方法卡
Schaub et al., 2022
(2022)Point cloud to BIM registration for robot localization and Augmented Reality2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 77-84
DOI 10.1109/ismar-adjunct57072.2022.00025
同儕審查已出版已讀全文近十年方法卡
Schauer & Nuchter, 2018
(2018)The Peopleremover—Removing Dynamic Objects From 3-D Point Cloud Data by Traversing a Voxel Occupancy GridIEEE Robotics and Automation Letters, 3(3), pp. 1679-1686
同儕審查已出版已讀全文近十年方法卡
Schillberg et al., 2025
(2025)Autonomous As-Built Documentation with a Quadruped Robot and LiDAR-SLAMProceedings of the 2025 European Conference on Computing in Construction (EC3), Computing in Construction 6
同儕審查已出版已讀全文近十年查證後修正
Schmid et al., 2023
(2023)Dynablox: Real-Time Detection of Diverse Dynamic Objects in Complex EnvironmentsIEEE Robotics and Automation Letters, 8(10):6259-6266
DOI 10.1109/lra.2023.3305239arXiv 2304.10049程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Schöps et al., 2019
(2019)BAD SLAM: Bundle Adjusted Direct RGB-D SLAM2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 134-144
DOI 10.1109/cvpr.2019.00022程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Schöps et al., 2020
(2020)SurfelMeshing: Online Surfel-Based Mesh ReconstructionIEEE Transactions on Pattern Analysis and Machine Intelligence, 42(10):2494-2507
DOI 10.1109/tpami.2019.2947048arXiv 1810.00729程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Scona et al., 2018
(2018)StaticFusion: Background Reconstruction for Dense RGB-D SLAM in Dynamic Environments2018 IEEE International Conference on Robotics and Automation (ICRA), pp. 3849-3856
DOI 10.1109/icra.2018.8460681程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Segal et al., 2009
(2009)Generalized-ICPRobotics: Science and Systems V
同儕審查已出版已讀全文經典查證後修正方法卡
Shan & Englot, 2018
(2018)LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4758-4765
DOI 10.1109/iros.2018.8594299程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Shan et al., 2020
(2020)LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 5135-5142
DOI 10.1109/iros45743.2020.9341176arXiv 2007.00258程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Shan et al., 2021
(2021)LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping2021 IEEE International Conference on Robotics and Automation (ICRA), pp. 5692-5698
DOI 10.1109/icra48506.2021.9561996arXiv 2104.10831程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Shang & Shen, 2018
(2018)Real-Time 3D Reconstruction on Construction Site Using Visual SLAM and UAVConstruction Research Congress 2018, pp. 305-315
DOI 10.1061/9780784481264.030arXiv 1712.07122
同儕審查已出版已讀全文近十年
Shao et al., 2019
(2019)Stereo Visual Inertial LiDAR Simultaneous Localization and Mapping2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 370-377
DOI 10.1109/iros40897.2019.8968012arXiv 1902.10741
同儕審查已出版已讀全文近十年查證後修正方法卡
Shi et al., 2026
(2026)LIT-GS: LiDAR-Inertial-Thermal Gaussian Splatting for Illumination-Robust MappingarXiv (author comment: accepted to IEEE/RSJ IROS 2026)
已接受(作者聲明)已讀全文近十年查證後修正方法卡
Sibley et al., 2010
(2010)Sliding window filter with application to planetary landingJournal of Field Robotics, 27(5):587-608
同儕審查已出版已讀全文經典查證後修正方法卡
Smith & Cheeseman, 1986
(1986)On the Representation and Estimation of Spatial UncertaintyThe International Journal of Robotics Research, 5(4):56-68
DOI 10.1177/027836498600500404
同儕審查已出版已讀全文經典方法卡
Smith et al., 1990
(1990)Estimating Uncertain Spatial Relationships in RoboticsAutonomous Robot Vehicles (book, Springer New York), pp. 167-193
DOI 10.1007/978-1-4613-8997-2_14arXiv 1304.3111
同儕審查已出版已讀全文經典查證後修正方法卡
Solà et al., 2018
(2018)A micro Lie theory for state estimation in roboticsarXiv preprint (arXiv journal-ref: IRI technical report IRI-TR-18-01), arXiv:1812.01537
預印本已讀全文近十年查證後修正
Solà, 2017
(2017)Quaternion kinematics for the error-state Kalman filterarXiv preprint, arXiv:1711.02508
預印本已讀全文經典查證後修正
Soudarissanane et al., 2011
(2011)Scanning geometry: Influencing factor on the quality of terrestrial laser scanning pointsISPRS Journal of Photogrammetry and Remote Sensing, 66(4), pp. 389-399
DOI 10.1016/j.isprsjprs.2011.01.005
同儕審查已出版已讀全文經典方法卡
Stachniss et al., 2016
(2016)Simultaneous Localization and MappingSpringer Handbook of Robotics (2nd ed.), Chapter 46, pp. 1153-1176
DOI 10.1007/978-3-319-32552-1_46
同儕審查已出版已讀全文經典
Steux & Hamzaoui, 2010
(2010)tinySLAM: A SLAM algorithm in less than 200 lines C-language program2010 11th International Conference on Control, Automation, Robotics and Vision (ICARCV 2010), Singapore, pp. 1975-1979
DOI 10.1109/icarcv.2010.5707402程式碼
同儕審查已出版已讀全文經典方法卡
Stoyanov et al., 2012
(2012)Fast and accurate scan registration through minimization of the distance between compact 3D NDT representationsThe International Journal of Robotics Research, 31(12):1377-1393
同儕審查已出版已讀全文經典方法卡
Strasdat et al., 2012
(2012)Visual SLAM: Why filter?Image and Vision Computing, 30(2):65-77
DOI 10.1016/j.imavis.2012.02.009
同儕審查已出版已讀全文經典查證後修正
Straub et al., 2019
(2019)The Replica Dataset: A Digital Replica of Indoor SpacesarXiv preprint
預印本已讀全文近十年查證後修正
Štroner et al., 2025
(2025)Scanning the underground: Comparison of the accuracies of SLAM and static laser scanners in a mine tunnelMeasurement, 242 (Part A), 115875
DOI 10.1016/j.measurement.2024.115875
同儕審查已出版已讀全文近十年
Stückler & Behnke, 2014
(2014)Multi-resolution surfel maps for efficient dense 3D modeling and trackingJournal of Visual Communication and Image Representation, 25(1):137-147
DOI 10.1016/j.jvcir.2013.02.008程式碼
同儕審查已出版已讀全文經典查證後修正方法卡
Stührenberg & Smarsly, 2025
(2025)LIO-BIM – Coupling lidar inertial odometry with building information modeling for robot localization and mappingAdvanced Engineering Informatics, 66, 103477
DOI 10.1016/j.aei.2025.103477程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Sturm et al., 2012
(2012)A benchmark for the evaluation of RGB-D SLAM systems2012 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 573-580
同儕審查已出版已讀全文經典
Sucar et al., 2021
(2021)iMAP: Implicit Mapping and Positioning in Real-Time2021 IEEE/CVF International Conference on Computer Vision (ICCV), pp. 6209-6218
DOI 10.1109/iccv48922.2021.00617arXiv 2103.12352
同儕審查已出版已讀全文近十年方法卡
Sumikura et al., 2019
(2019)OpenVSLAM: A Versatile Visual SLAM FrameworkProceedings of the 27th ACM International Conference on Multimedia (MM '19), pp. 2292-2295
DOI 10.1145/3343031.3350539arXiv 1910.01122程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Sun et al., 2018
(2018)Robust Stereo Visual Inertial Odometry for Fast Autonomous FlightIEEE Robotics and Automation Letters, 3(2):965-972
DOI 10.1109/lra.2018.2793349arXiv 1712.00036程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Sun et al., 2025
(2025)Nothing Stands Still: A spatiotemporal benchmark on 3D point cloud registration under large geometric and temporal changeISPRS Journal of Photogrammetry and Remote Sensing, 220:799-823
DOI 10.1016/j.isprsjprs.2025.01.010arXiv 2311.09346
同儕審查已出版已讀全文近十年查證後修正
Sünderhauf & Protzel, 2012
(2012)Switchable constraints for robust pose graph SLAM2012 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1879-1884
DOI 10.1109/iros.2012.6385590程式碼
同儕審查已出版已讀全文經典查證後修正方法卡
Surmann et al., 2003
(2003)An autonomous mobile robot with a 3D laser range finder for 3D exploration and digitalization of indoor environmentsRobotics and Autonomous Systems, 45(3-4):181-198
DOI 10.1016/j.robot.2003.09.004
同儕審查已出版已讀全文經典方法卡
Tagliabue et al., 2021
(2021)LION: Lidar-Inertial Observability-Aware Navigator for Vision-Denied EnvironmentsExperimental Robotics (ISER 2020), Springer Proceedings in Advanced Robotics 19, SPAR 19, pp. 380-390
DOI 10.1007/978-3-030-71151-1_34arXiv 2102.03443
同儕審查已出版已讀全文近十年查證後修正方法卡
Talbot et al., 2025
(2025)Continuous-Time State Estimation Methods in Robotics: A SurveyIEEE Transactions on Robotics, 41:4975-4999
DOI 10.1109/tro.2025.3593079arXiv 2411.03951
同儕審查已出版已讀全文近十年
Tang et al., 2010
(2010)Automatic reconstruction of as-built building information models from laser-scanned point clouds: A review of related techniquesAutomation in Construction, 19(7), 829-843
DOI 10.1016/j.autcon.2010.06.007
同儕審查已出版已讀全文經典查證後修正
Tang et al., 2011
(2011)Characterization of Laser Scanners and Algorithms for Detecting Flatness Defects on Concrete SurfacesJournal of Computing in Civil Engineering, 25(1), 31-42
DOI 10.1061/(asce)cp.1943-5487.0000073
同儕審查已出版已讀全文經典
Tang et al., 2023
(2023)FF-LINS: A Consistent Frame-to-Frame Solid-State-LiDAR-Inertial State EstimatorIEEE Robotics and Automation Letters, 8(12):8525-8532
DOI 10.1109/lra.2023.3329625arXiv 2307.06632程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Tang et al., 2026
(2026)PA-LVIO: Real-Time LiDAR-Visual-Inertial Odometry and Mapping with Pose-Only Bundle AdjustmentarXiv
預印本已讀全文近十年查證後修正方法卡
Tao et al., 2025
(2025)The Oxford Spires Dataset: Benchmarking large-scale LiDAR-visual localisation, reconstruction and radiance field methodsThe International Journal of Robotics Research, 45(6):839-857
DOI 10.1177/02783649251369905arXiv 2411.10546程式碼
同儕審查已出版已讀全文近十年查證後修正
Tateno et al., 2017
(2017)CNN-SLAM: Real-Time Dense Monocular SLAM with Learned Depth Prediction2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 6565-6574
DOI 10.1109/cvpr.2017.695arXiv 1704.03489
同儕審查已出版已讀全文近十年方法卡
Teed & Deng, 2021
(2021)DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D CamerasAdvances in Neural Information Processing Systems 34 (NeurIPS 2021), vol. 34, pp. 16558-16569
同儕審查已出版已讀全文近十年方法卡
Teed et al., 2023
(2023)Deep Patch Visual OdometryAdvances in Neural Information Processing Systems 36 (NeurIPS 2023), pp. 39033-39051
DOI 10.52202/075280-1696arXiv 2208.04726程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Thomson et al., 2013
(2013)Mobile Laser Scanning for Indoor ModellingISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS Workshop Laser Scanning 2013, Antalya), II-5/W2, 289-293
DOI 10.5194/isprsannals-ii-5-w2-289-2013
同儕審查已出版已讀全文經典查證後修正
Thrun et al., 2000
(2000)A real-time algorithm for mobile robot mapping with applications to multi-robot and 3D mappingProceedings 2000 IEEE International Conference on Robotics and Automation (ICRA 2000), San Francisco, CA, vol. 1, pp. 321-328
同儕審查已出版已讀全文經典查證後修正方法卡
Thrun et al., 2005
(2005)Probabilistic RoboticsMIT Press (Intelligent Robotics and Autonomous Agents series), 647 pages; ISBN 978-0-262-20162-9
同儕審查已出版無法取得經典查證後修正
Tian et al., 2022
(2022)Kimera-Multi: Robust, Distributed, Dense Metric-Semantic SLAM for Multi-Robot SystemsIEEE Transactions on Robotics, 38(4):2022-2038
DOI 10.1109/tro.2021.3137751arXiv 2106.14386程式碼
同儕審查已出版已讀全文近十年方法卡
Torres et al., 2023
(2023)OGM2PGBM: Robust BIM-based 2D-LiDAR localization for lifelong indoor navigationECPPM 2022: eWork and eBusiness in Architecture, Engineering and Construction 2022 (CRC Press), pp. 567-574
DOI 10.1201/9781003354222-72arXiv 2308.05443程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Tosi et al., 2026
(2026)How NeRFs and 3-D Gaussian Splatting Are Reshaping SLAM: A SurveyIEEE Transactions on Robotics, 42, 1405-1427
DOI 10.1109/tro.2026.3666139arXiv 2402.13255
同儕審查已出版已讀全文近十年
Triggs et al., 2000
(2000)Bundle Adjustment — A Modern SynthesisVision Algorithms: Theory and Practice (International Workshop on Vision Algorithms 1999), Lecture Notes in Computer Science, vol. 1883, LNCS 1883, pp. 298-372
同儕審查已出版已讀全文經典
Trybała et al., 2023
(2023)COMPARISON OF LOW-COST HANDHELD LIDAR-BASED SLAM SYSTEMS FOR MAPPING UNDERGROUND TUNNELSThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (MMT 2023), XLVIII-1/W1-2023, 517-524
DOI 10.5194/isprs-archives-xlviii-1-w1-2023-517-2023
同儕審查已出版已讀全文近十年查證後修正
Trzeciak et al., 2023
(2023)ConSLAM: Construction Data Set for SLAMJournal of Computing in Civil Engineering, 37(3):04023009
DOI 10.1061/jccee5.cpeng-5212程式碼
同儕審查已出版已讀全文近十年查證後修正
Tuna et al., 2024
(2024)X-ICP: Localizability-Aware LiDAR Registration for Robust Localization in Extreme EnvironmentsIEEE Transactions on Robotics, 40:452-471
DOI 10.1109/tro.2023.3335691arXiv 2211.16335
同儕審查已出版已讀全文近十年方法卡
Tuna et al., 2025
(2025)Informed, Constrained, Aligned: A Field Analysis on Degeneracy-Aware Point Cloud Registration in the WildIEEE Transactions on Field Robotics, 2, pp. 485-515
DOI 10.1109/tfr.2025.3576053arXiv 2408.11809程式碼
同儕審查已出版已讀全文近十年查證後修正
Tuomisto et al., 2026
(2026)Automating on-site object inspection with a quadruped robot and BIMAutomation in Construction, 181, 106571
DOI 10.1016/j.autcon.2025.106571
同儕審查已出版已讀全文近十年查證後修正
U.S. GSA, 2009
(2009)GSA Building Information Modeling Guide Series: 03 – GSA BIM Guide for 3D Imaging, Version 1.0GSA BIM Guide Series 03, Version 1.0, January 2009 (68 PDF pages)
論文或報告已讀全文經典查證後修正
Umeyama, 1991
(1991)Least-squares estimation of transformation parameters between two point patternsIEEE Transactions on Pattern Analysis and Machine Intelligence, 13(4):376-380
同儕審查已出版已讀全文經典方法卡
Usenko et al., 2020
(2020)Visual-Inertial Mapping With Non-Linear Factor RecoveryIEEE Robotics and Automation Letters, 5(2):422-429
DOI 10.1109/lra.2019.2961227arXiv 1904.06504程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
USIBD, 2016
(2016)USIBD Level of Accuracy (LOA) Specification Guide, Document C120 [Guide], Version 2.0 – 2016USIBD Document C120 [Guide], guide for Document C220 Level of Accuracy (LOA) Specification for Building Documentation, Version 2.0 – 2016 (30 PDF pages)
論文或報告已讀全文近十年查證後修正
Uy & Lee, 2018
(2018)PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 4470-4479
DOI 10.1109/cvpr.2018.00470arXiv 1804.03492程式碼
同儕審查已出版已讀全文近十年方法卡
Vega Torres et al., 2023
(2023)BIM-SLAM: Integrating BIM Models in Multi-session SLAM for Lifelong Mapping using 3D LiDARProceedings of the 40th International Symposium on Automation and Robotics in Construction (ISARC 2023), pp. 521-528
DOI 10.22260/isarc2023/0070arXiv 2408.15870
同儕審查已出版已讀全文近十年查證後修正
Vega-Torres et al., 2024
(2024)SLAM2REF: advancing long-term mapping with 3D LiDAR and reference map integration for precise 6-DoF trajectory estimation and map extensionConstruction Robotics, 8(2), article 13
DOI 10.1007/s41693-024-00126-warXiv 2408.15948程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Vespa et al., 2018
(2018)Efficient Octree-Based Volumetric SLAM Supporting Signed-Distance and Occupancy MappingIEEE Robotics and Automation Letters, 3(2):1144-1151
DOI 10.1109/lra.2018.2792537程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Vizzo et al., 2021
(2021)Poisson Surface Reconstruction for LiDAR Odometry and Mapping2021 IEEE International Conference on Robotics and Automation (ICRA), pp. 5624-5630
DOI 10.1109/icra48506.2021.9562069程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Vizzo et al., 2022
(2022)VDBFusion: Flexible and Efficient TSDF Integration of Range Sensor DataSensors, 22(3):1296
同儕審查已出版已讀全文近十年MDPI方法卡
Vizzo et al., 2023
(2023)KISS-ICP: In Defense of Point-to-Point ICP – Simple, Accurate, and Robust Registration If Done the Right WayIEEE Robotics and Automation Letters, 8(2):1029-1036
DOI 10.1109/lra.2023.3236571arXiv 2209.15397程式碼
同儕審查已出版已讀全文近十年方法卡
von Stumberg & Cremers, 2022
(2022)DM-VIO: Delayed Marginalization Visual-Inertial OdometryIEEE Robotics and Automation Letters, 7(2):1408-1415
DOI 10.1109/lra.2021.3140129arXiv 2201.04114程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Wang & Kim, 2019
(2019)Applications of 3D point cloud data in the construction industry: A fifteen-year review from 2004 to 2018Advanced Engineering Informatics, 39, 306-319
同儕審查已出版已讀全文近十年查證後修正
Wang et al., 2017
(2017)DeepVO: Towards end-to-end visual odometry with deep Recurrent Convolutional Neural Networks2017 IEEE International Conference on Robotics and Automation (ICRA), pp. 2043-2050
DOI 10.1109/icra.2017.7989236arXiv 1709.08429
同儕審查已出版已讀全文近十年方法卡
Wang et al., 2019
(2019)Real-time Scalable Dense Surfel Mapping2019 International Conference on Robotics and Automation (ICRA), pp. 6919-6925
DOI 10.1109/icra.2019.8794101arXiv 1909.04250程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Wang et al., 2020
(2020)Intensity Scan Context: Coding Intensity and Geometry Relations for Loop Closure Detection2020 IEEE International Conference on Robotics and Automation (ICRA), pp. 2095-2101
DOI 10.1109/icra40945.2020.9196764arXiv 2003.05656程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Wang et al., 2021a
(2021)F-LOAM : Fast LiDAR Odometry and Mapping2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4390-4396
DOI 10.1109/iros51168.2021.9636655arXiv 2107.00822程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Wang et al., 2021b
(2021)Lightweight 3-D Localization and Mapping for Solid-State LiDARIEEE Robotics and Automation Letters, 6(2):1801-1807
DOI 10.1109/lra.2021.3060392arXiv 2102.03800程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Wang et al., 2021c
(2021)PWCLO-Net: Deep LiDAR Odometry in 3D Point Clouds Using Hierarchical Embedding Mask Optimization2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 15905-15914
DOI 10.1109/cvpr46437.2021.01565arXiv 2012.00972程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Wang et al., 2023a
(2023)Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 13293-13302
DOI 10.1109/cvpr52729.2023.01277arXiv 2304.14377程式碼
同儕審查已出版已讀全文近十年方法卡
Wang et al., 2023b
(2023)D-LIOM: Tightly-Coupled Direct LiDAR-Inertial Odometry and MappingIEEE Transactions on Multimedia, 25:3905-3920
DOI 10.1109/tmm.2022.3168423程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Wang et al., 2024
(2024)DUSt3R: Geometric 3D Vision Made Easy2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 20697-20709
DOI 10.1109/cvpr52733.2024.01956arXiv 2312.14132程式碼
同儕審查已出版已讀全文近十年方法卡
Wang et al., 2025a
(2025)PlanarMesh: Building Compact 3D Meshes from LiDAR using Incremental Adaptive Resolution Reconstruction2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 15726-15733
DOI 10.1109/iros60139.2025.11246204arXiv 2510.13599程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Wang et al., 2025b
(2025)VGGT: Visual Geometry Grounded Transformer2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5294-5306
DOI 10.1109/cvpr52734.2025.00499arXiv 2503.11651程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Wang et al., 2026
(2026)LEMON-Mapping: Loop-Enhanced Large-Scale Multi-Session Point Cloud Merging and Optimization for Globally Consistent MappingIEEE Transactions on Automation Science and Engineering, 23:12318-12336
DOI 10.1109/tase.2026.3709653arXiv 2505.10018
同儕審查已出版已讀全文近十年方法卡
Wei et al., 2025a
(2025)FusionPortableV2: A unified multi-sensor dataset for generalized SLAM across diverse platforms and scalable environmentsThe International Journal of Robotics Research, 44(7):1093-1116
DOI 10.1177/02783649241303525arXiv 2404.08563
同儕審查已出版已讀全文近十年查證後修正
Wei et al., 2025b
(2025)Large-Scale Multi-Session Point-Cloud Map MergingIEEE Robotics and Automation Letters, 10(1):88-95
DOI 10.1109/lra.2024.3504317程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Whelan et al., 2015a
(2015)ElasticFusion: Dense SLAM Without A Pose GraphRobotics: Science and Systems XI
DOI 10.15607/rss.2015.xi.001程式碼
同儕審查已出版已讀全文經典方法卡
Whelan et al., 2015b
(2015)Real-time large-scale dense RGB-D SLAM with volumetric fusionThe International Journal of Robotics Research, 34(4-5):598-626
DOI 10.1177/0278364914551008程式碼
同儕審查已出版已讀全文經典查證後修正方法卡
Wisth et al., 2023
(2023)VILENS: Visual, Inertial, Lidar, and Leg Odometry for All-Terrain Legged RobotsIEEE Transactions on Robotics, 39(1), 309-326
DOI 10.1109/tro.2022.3193788arXiv 2107.07243
同儕審查已出版已讀全文近十年方法卡
Wu et al., 2024a
(2024)LIO-EKF: High Frequency LiDAR-Inertial Odometry using Extended Kalman Filters2024 IEEE International Conference on Robotics and Automation (ICRA), pp. 13741-13747
DOI 10.1109/icra57147.2024.10610667arXiv 2311.09887程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Wu et al., 2024b
(2024)VoxelMap++: Mergeable Voxel Mapping Method for Online LiDAR(-Inertial) OdometryIEEE Robotics and Automation Letters, 9(1):427-434
DOI 10.1109/lra.2023.3333736arXiv 2308.02799程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Xiao et al., 2025
(2025)LiV-GS: LiDAR-Vision Integration for 3D Gaussian Splatting SLAM in Outdoor EnvironmentsIEEE Robotics and Automation Letters, 10(1), 421-428
DOI 10.1109/lra.2024.3505777arXiv 2411.12185
同儕審查已出版已讀全文近十年查證後修正方法卡
Xie et al., 2025
(2025)GS-LIVM: Real-Time Photo-Realistic LiDAR-Inertial-Visual Mapping with Gaussian Splatting2025 IEEE/CVF International Conference on Computer Vision (ICCV), pp. 26869-26878
DOI 10.1109/iccv51701.2025.02494arXiv 2410.17084程式碼
同儕審查已出版已讀全文近十年方法卡
Xu & Stilla, 2021
(2021)Toward Building and Civil Infrastructure Reconstruction From Point Clouds: A Review on Data and Key TechniquesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, 2857-2885
DOI 10.1109/jstars.2021.3060568
同儕審查已出版已讀全文近十年查證後修正
Xu & Zhang, 2021
(2021)FAST-LIO: A Fast, Robust LiDAR-Inertial Odometry Package by Tightly-Coupled Iterated Kalman FilterIEEE Robotics and Automation Letters, 6(2):3317-3324
DOI 10.1109/lra.2021.3064227arXiv 2010.08196程式碼
同儕審查已出版已讀全文近十年方法卡
Xu et al., 2019
(2019)An Occupancy Grid Mapping enhanced visual SLAM for real-time locating applications in indoor GPS-denied environmentsAutomation in Construction, 104:230-245
DOI 10.1016/j.autcon.2019.04.011
同儕審查已出版已讀全文近十年查證後修正方法卡
Xu et al., 2021
(2021)Voxel-based representation of 3D point clouds: Methods, applications, and its potential use in the construction industryAutomation in Construction, 126:103675
DOI 10.1016/j.autcon.2021.103675
同儕審查已出版已讀全文近十年查證後修正
Xu et al., 2022
(2022)FAST-LIO2: Fast Direct LiDAR-Inertial OdometryIEEE Transactions on Robotics, 38(4):2053-2073
DOI 10.1109/tro.2022.3141876arXiv 2107.06829程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Xu et al., 2025a
(2025)Point-level Uncertainty Evaluation of Mobile Laser Scanning Point CloudsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-1/W6-2025, pp. 243-249
DOI 10.5194/isprs-archives-xlviii-1-w6-2025-243-2025
同儕審查已出版已讀全文近十年
Xu et al., 2025b
(2025)Uncertainty-aware Evaluation and Fusion of Point Clouds for Simultaneous Scanning of Two State-of-the-art Indoor MLS SystemsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-G-2025, pp. 1603-1610
DOI 10.5194/isprs-archives-xlviii-g-2025-1603-2025
同儕審查已出版已讀全文近十年查證後修正
Xu et al., 2026
(2026)From Propagation to Prediction: Point-level Uncertainty Evaluation of MLS Point Clouds under Limited Ground TruthISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XI-1-2026, pp. 463-471
DOI 10.5194/isprs-annals-xi-1-2026-463-2026
同儕審查已出版已讀全文近十年
Yan et al., 2017
(2017)Dense Visual SLAM with Probabilistic Surfel MapIEEE Transactions on Visualization and Computer Graphics (ISMAR 2017 special issue), 23(11):2389-2398
同儕審查已出版已讀全文近十年查證後修正方法卡
Yan et al., 2024
(2024)GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 19595-19604
DOI 10.1109/cvpr52733.2024.01853arXiv 2311.11700程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Yan et al., 2026a
(2026)Deep feature-enhanced LiDAR-visual-inertial odometry for robust mapping in tunnel environmentAutomation in Construction, 184: 106825
DOI 10.1016/j.autcon.2026.106825
同儕審查已出版已讀全文近十年查證後修正方法卡
Yan et al., 2026b
(2026)RGB-D Perception-Enhanced 3D Gaussian Splatting SLAM: A Robust Framework for Mapping Underground SpacesIEEE Transactions on Visualization and Computer Graphics, 32(7), 6695-6711
同儕審查已出版已讀全文近十年查證後修正方法卡
Yang et al., 2016
(2016)Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set RegistrationIEEE Transactions on Pattern Analysis and Machine Intelligence, 38(11):2241-2254
DOI 10.1109/tpami.2015.2513405arXiv 1605.03344程式碼
同儕審查已出版已讀全文經典查證後修正方法卡
Yang et al., 2020a
(2020)D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1278-1289
DOI 10.1109/cvpr42600.2020.00136arXiv 2003.01060
同儕審查已出版已讀全文近十年查證後修正方法卡
Yang et al., 2020b
(2020)Graduated Non-Convexity for Robust Spatial Perception: From Non-Minimal Solvers to Global Outlier RejectionIEEE Robotics and Automation Letters, 5(2):1127-1134
DOI 10.1109/lra.2020.2965893arXiv 1909.08605程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Yang et al., 2022
(2022)Vox-Fusion: Dense Tracking and Mapping with Voxel-based Neural Implicit Representation2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), pp. 499-507
DOI 10.1109/ismar55827.2022.00066arXiv 2210.15858程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Yang et al., 2024
(2024)Lifelong 3D Mapping Framework for Hand-Held & Robot-Mounted LiDAR Mapping SystemsIEEE Robotics and Automation Letters, 9(11):9446-9453
DOI 10.1109/lra.2024.3417113arXiv 2501.18110
同儕審查已出版已讀全文近十年查證後修正方法卡
Yarovoi & Cho, 2024
(2024)Review of simultaneous localization and mapping (SLAM) for construction robotics applicationsAutomation in Construction, 162, 105344
DOI 10.1016/j.autcon.2024.105344
同儕審查已出版已讀全文近十年查證後修正
Ye et al., 2019
(2019)Tightly Coupled 3D Lidar Inertial Odometry and Mapping2019 International Conference on Robotics and Automation (ICRA), pp. 3144-3150
DOI 10.1109/icra.2019.8793511arXiv 1904.06993程式碼
同儕審查已出版已讀全文近十年方法卡
Yiğit et al., 2024
(2024)Comparative analysis of mobile laser scanning and terrestrial laser scanning for the indoor mappingBuilding Research & Information, 52(4), 402-417
DOI 10.1080/09613218.2023.2227900
同儕審查已出版無法取得近十年
Yin et al., 2023
(2023)Semantic localization on BIM-generated maps using a 3D LiDAR sensorAutomation in Construction, 146, 104641
DOI 10.1016/j.autcon.2022.104641arXiv 2205.00816
同儕審查已出版已讀全文近十年方法卡
Yin et al., 2024
(2024)A Survey on Global LiDAR Localization: Challenges, Advances and Open ProblemsInternational Journal of Computer Vision, 132(8):3139-3171
DOI 10.1007/s11263-024-02019-5arXiv 2302.07433
同儕審查已出版已讀全文近十年
Yokozuka et al., 2021
(2021)LiTAMIN2: Ultra Light LiDAR-based SLAM using Geometric Approximation applied with KL-Divergence2021 IEEE International Conference on Robotics and Automation (ICRA), pp. 11619-11625
DOI 10.1109/icra48506.2021.9560947arXiv 2103.00784
同儕審查已出版已讀全文近十年方法卡
Yu et al., 2025
(2025)From comparison to integration: A workflow evaluation of 3D Gaussian splatting and LiDAR point cloud for modern architectural heritageAutomation in Construction, 180, 106509
DOI 10.1016/j.autcon.2025.106509
同儕審查已出版已讀全文近十年
Yuan et al., 2021
(2021)Pixel-Level Extrinsic Self Calibration of High Resolution LiDAR and Camera in Targetless EnvironmentsIEEE Robotics and Automation Letters, 6(4), pp. 7517-7524
DOI 10.1109/lra.2021.3098923arXiv 2103.01627程式碼
同儕審查已出版已讀全文近十年方法卡
Yuan et al., 2022
(2022)Efficient and Probabilistic Adaptive Voxel Mapping for Accurate Online LiDAR OdometryIEEE Robotics and Automation Letters, 7(3):8518-8525
DOI 10.1109/lra.2022.3187250arXiv 2109.07082程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Yuan et al., 2023a
(2023)SDV-LOAM: Semi-Direct Visual-LiDAR Odometry and MappingIEEE Transactions on Pattern Analysis and Machine Intelligence, 45(9), pp. 11203-11220
DOI 10.1109/tpami.2023.3262817程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Yuan et al., 2023b
(2023)STD: Stable Triangle Descriptor for 3D place recognition2023 IEEE International Conference on Robotics and Automation (ICRA), pp. 1897-1903
DOI 10.1109/icra48891.2023.10160413arXiv 2209.12435程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Yuan et al., 2024
(2024)SR-LIVO: LiDAR-Inertial-Visual Odometry and Mapping With Sweep ReconstructionIEEE Robotics and Automation Letters, 9(6): 5110-5117
DOI 10.1109/lra.2024.3389415arXiv 2312.16800程式碼
同儕審查已出版已讀全文近十年方法卡
Yuan et al., 2026
(2026)Adaptive 3DGS-SLAM-driven incremental online geometric digital twinning complex indoor built environmentsAdvanced Engineering Informatics, 76, 105077
同儕審查已出版已讀全文近十年查證後修正方法卡
Yue et al., 2024
(2024)LiDAR-based SLAM for robotic mapping: state of the art and new frontiersIndustrial Robot: the international journal of robotics research and application, 51(2):196-205
DOI 10.1108/ir-09-2023-0225arXiv 2311.00276
同儕審查已出版已讀全文近十年查證後修正
Yun & Sim, 2018
(2018)Reflection Removal for Large-Scale 3D Point Clouds2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 4597-4605
同儕審查已出版已讀全文近十年方法卡
Yunus et al., 2021
(2021)ManhattanSLAM: Robust Planar Tracking and Mapping Leveraging Mixture of Manhattan Frames2021 IEEE International Conference on Robotics and Automation (ICRA), pp. 6687-6693
DOI 10.1109/icra48506.2021.9562030arXiv 2103.15068程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Zeng et al., 2024
(2024)Autonomous mobile construction robots in built environment: A comprehensive reviewDevelopments in the Built Environment, 19, 100484
DOI 10.1016/j.dibe.2024.100484
同儕審查已出版已讀全文近十年
Zhang & Scaramuzza, 2018
(2018)A Tutorial on Quantitative Trajectory Evaluation for Visual(-Inertial) Odometry2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 7244-7251
DOI 10.1109/iros.2018.8593941程式碼
同儕審查已出版已讀全文近十年
Zhang & Singh, 2014
(2014)LOAM: Lidar Odometry and Mapping in Real-timeRobotics: Science and Systems X (RSS 2014), RSS X, paper p07 (proceedings URL rss10/p07.pdf)
同儕審查已出版已讀全文經典查證後修正方法卡
Zhang & Singh, 2015
(2015)Visual-lidar odometry and mapping: low-drift, robust, and fast2015 IEEE International Conference on Robotics and Automation (ICRA), pp. 2174-2181
同儕審查已出版已讀全文經典查證後修正方法卡
Zhang & Singh, 2017
(2017)Low-drift and real-time lidar odometry and mappingAutonomous Robots, 41(2): 401-416
同儕審查已出版已讀全文經典查證後修正方法卡
Zhang & Singh, 2018
(2018)Laser–visual–inertial odometry and mapping with high robustness and low driftJournal of Field Robotics, 35(8): 1242-1264
同儕審查已出版已讀全文近十年方法卡
Zhang et al., 2014
(2014)Real-time depth enhanced monocular odometry2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4973-4980
DOI 10.1109/iros.2014.6943269程式碼
同儕審查已出版已讀全文經典查證後修正方法卡
Zhang et al., 2016
(2016)On degeneracy of optimization-based state estimation problems2016 IEEE International Conference on Robotics and Automation (ICRA), pp. 809-816
同儕審查已出版已讀全文經典查證後修正方法卡
Zhang et al., 2021
(2021)Multi-Camera LiDAR Inertial Extension to the Newer College DatasetarXiv preprint
預印本已讀全文近十年
Zhang et al., 2023a
(2023)A Dynamic Points Removal Benchmark in Point Cloud Maps2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), pp. 608-614
DOI 10.1109/itsc57777.2023.10422094arXiv 2307.07260程式碼
同儕審查已出版已讀全文近十年
Zhang et al., 2023b
(2023)GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction2023 IEEE/CVF International Conference on Computer Vision (ICCV), pp. 3704-3714
DOI 10.1109/iccv51070.2023.00345arXiv 2309.02436程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Zhang et al., 2023c
(2023)Hilti-Oxford Dataset: A Millimeter-Accurate Benchmark for Simultaneous Localization and MappingIEEE Robotics and Automation Letters, 8(1):408-415
DOI 10.1109/lra.2022.3226077arXiv 2208.09825程式碼
同儕審查已出版已讀全文近十年
Zhang et al., 2024a
(2024)3D LiDAR SLAM: A surveyThe Photogrammetric Record, 39(186):457-517
同儕審查已出版已讀全文近十年查證後修正
Zhang et al., 2024b
(2024)Global BIM-point cloud registration and association for construction progress monitoringAutomation in Construction, 168 (Part A), 105796
DOI 10.1016/j.autcon.2024.105796
同儕審查已出版已讀全文近十年查證後修正方法卡
Zhang et al., 2025
(2025)HI-SLAM2: Geometry-Aware Gaussian SLAM for Fast Monocular Scene ReconstructionIEEE Transactions on Robotics, 41:6478-6493
DOI 10.1109/tro.2025.3626627arXiv 2411.17982程式碼
同儕審查已出版已讀全文近十年方法卡
Zhang et al., 2026
(2026)BIM-Loc: BIM-integrated discrepancy-aware LiDAR-based indoor localizationThe International Journal of Robotics Research, OnlineFirst (article 02783649261462593; volume and pages not yet assigned)
線上優先已讀全文近十年查證後修正方法卡
Zhang, 1994
(1994)Iterative point matching for registration of free-form curves and surfacesInternational Journal of Computer Vision, 13(2):119-152
同儕審查已出版已讀全文經典查證後修正方法卡
Zhao et al., 2021
(2021)Super Odometry: IMU-centric LiDAR-Visual-Inertial Estimator for Challenging Environments2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 8729-8736
DOI 10.1109/iros51168.2021.9635862arXiv 2104.14938
同儕審查已出版已讀全文近十年查證後修正方法卡
Zhao et al., 2024a
(2024)Registration‐based point cloud deskewing and dynamic lidar simulationThe Photogrammetric Record, 39(188), pp. 831-844
同儕審查已出版已讀全文近十年方法卡
Zhao et al., 2024b
(2024)SubT-MRS Dataset: Pushing SLAM Towards All-weather Environments2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 22647-22657
DOI 10.1109/cvpr52733.2024.02137arXiv 2307.07607
同儕審查已出版已讀全文近十年查證後修正
Zhen & Scherer, 2019
(2019)Estimating the Localizability in Tunnel-like Environments using LiDAR and UWB2019 International Conference on Robotics and Automation (ICRA), pp. 4903-4908
同儕審查已出版已讀全文近十年查證後修正方法卡
Zheng & Zhu, 2024
(2024)Traj-LO: In Defense of LiDAR-Only Odometry Using an Effective Continuous-Time TrajectoryIEEE Robotics and Automation Letters, 9(2):1961-1968
DOI 10.1109/lra.2024.3352360arXiv 2309.13842程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Zheng et al., 2022
(2022)FAST-LIVO: Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4003-4009
DOI 10.1109/iros47612.2022.9981107arXiv 2203.00893程式碼
同儕審查已出版已讀全文近十年方法卡
Zheng et al., 2025
(2025)FAST-LIVO2: Fast, Direct LiDAR–Inertial–Visual OdometryIEEE Transactions on Robotics, 41: 326-346
DOI 10.1109/tro.2024.3502198arXiv 2408.14035程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Zhong et al., 2023
(2023)SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations2023 IEEE International Conference on Robotics and Automation (ICRA), pp. 8371-8377
DOI 10.1109/icra48891.2023.10160907arXiv 2210.02299程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Zhou et al., 2016
(2016)Fast Global RegistrationComputer Vision – ECCV 2016 (Lecture Notes in Computer Science), pp. 766-782
DOI 10.1007/978-3-319-46475-6_47程式碼
同儕審查已出版已讀全文經典查證後修正方法卡
Zhou et al., 2018
(2018)Open3D: A Modern Library for 3D Data ProcessingarXiv preprint
預印本已讀全文近十年方法卡
Zhou et al., 2021
(2021)LiDAR SLAM With Plane Adjustment for Indoor EnvironmentIEEE Robotics and Automation Letters, 6(4):7073-7080
同儕審查已出版已讀全文近十年查證後修正方法卡
Zhou et al., 2025
(2025)FAST-LIVO2 on Resource-Constrained Platforms: LiDAR-Inertial-Visual Odometry With Efficient Memory and ComputationIEEE Robotics and Automation Letters, 10(8): 7931-7938
DOI 10.1109/lra.2025.3581125arXiv 2501.13876
同儕審查已出版已讀全文近十年查證後修正方法卡
Zhou et al., 2026
(2026)Deep learning for 3D point cloud processing in construction: PRISMA-based systematic review (2016–2025)Automation in Construction, 191, 107197
DOI 10.1016/j.autcon.2026.107197
同儕審查已出版已讀全文近十年
Zhu et al., 2021
(2021)CamVox: A Low-cost and Accurate Lidar-assisted Visual SLAM System2021 IEEE International Conference on Robotics and Automation (ICRA), pp. 5049-5055
DOI 10.1109/icra48506.2021.9561149arXiv 2011.11357程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Zhu et al., 2022a
(2022)NICE-SLAM: Neural Implicit Scalable Encoding for SLAM2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 12776-12786
DOI 10.1109/cvpr52688.2022.01245arXiv 2112.12130程式碼
同儕審查已出版已讀全文近十年方法卡
Zhu et al., 2022b
(2022)Robust Real-time LiDAR-inertial Initialization2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 3948-3955
DOI 10.1109/iros47612.2022.9982225arXiv 2202.11006程式碼
同儕審查已出版已讀全文近十年方法卡
Zhu et al., 2024
(2024)NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAM2024 International Conference on 3D Vision (3DV), pp. 42-52
DOI 10.1109/3dv62453.2024.00096arXiv 2302.03594程式碼
同儕審查已出版已讀全文近十年查證後修正方法卡
Zhu et al., 2025
(2025)Mesh-LOAM: Real-Time Mesh-Based LiDAR Odometry and MappingIEEE Transactions on Intelligent Vehicles, 10(1):24-35
DOI 10.1109/tiv.2024.3409085arXiv 2312.15630
同儕審查已出版已讀全文近十年查證後修正方法卡
Zhuang et al., 2023
(2023)4D iRIOM: 4D Imaging Radar Inertial Odometry and MappingIEEE Robotics and Automation Letters, 8(6), pp. 3246-3253
DOI 10.1109/lra.2023.3266669arXiv 2303.13962
同儕審查已出版已讀全文近十年查證後修正方法卡
Zlot & Bosse, 2014
(2014)Efficient Large‐scale Three‐dimensional Mobile Mapping for Underground MinesJournal of Field Robotics, 31(5): 758-779
同儕審查已出版已讀全文經典查證後修正方法卡
Zou et al., 2022
(2022)A Comparative Analysis of LiDAR SLAM-Based Indoor Navigation for Autonomous VehiclesIEEE Transactions on Intelligent Transportation Systems, 23(7):6907-6921
同儕審查已出版已讀全文近十年查證後修正
Zou et al., 2024
(2024)LTA‐OM: Long‐term association LiDAR–IMU odometry and mappingJournal of Field Robotics, 41(7):2455-2474
同儕審查已出版已讀全文近十年查證後修正方法卡
Zuo et al., 2019
(2019)LIC-Fusion: LiDAR-Inertial-Camera Odometry2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 5848-5854
DOI 10.1109/iros40897.2019.8967746arXiv 1909.04102
同儕審查已出版已讀全文近十年方法卡
Zuo et al., 2020
(2020)LIC-Fusion 2.0: LiDAR-Inertial-Camera Odometry with Sliding-Window Plane-Feature Tracking2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 5112-5119
DOI 10.1109/iros45743.2020.9340704arXiv 2008.07196
同儕審查已出版已讀全文近十年方法卡