{"id":13429979,"url":"https://github.com/YiChenCityU/Recent_SLAM_Research","last_synced_at":"2025-03-16T04:31:30.946Z","repository":{"id":43038694,"uuid":"148293790","full_name":"YiChenCityU/Recent_SLAM_Research","owner":"YiChenCityU","description":"Track Advancement of SLAM 跟踪SLAM前沿动态【2021 version】業務調整，暫停更新","archived":false,"fork":false,"pushed_at":"2021-10-21T06:16:45.000Z","size":677,"stargazers_count":2721,"open_issues_count":7,"forks_count":731,"subscribers_count":304,"default_branch":"master","last_synced_at":"2024-10-15T22:42:28.450Z","etag":null,"topics":["fusion","lidar-odometry","lidar-slam","mobile-robots","multiple-sensors","open-source","reconstruction","research-paper","semantic","slam","state-estimation","vins","vslam"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/YiChenCityU.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2018-09-11T09:32:42.000Z","updated_at":"2024-10-01T07:29:26.000Z","dependencies_parsed_at":"2022-08-12T10:11:17.081Z","dependency_job_id":null,"html_url":"https://github.com/YiChenCityU/Recent_SLAM_Research","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/YiChenCityU%2FRecent_SLAM_Research","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/YiChenCityU%2FRecent_SLAM_Research/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/YiChenCityU%2FRecent_SLAM_Research/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/YiChenCityU%2FRecent_SLAM_Research/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/YiChenCityU","download_url":"https://codeload.github.com/YiChenCityU/Recent_SLAM_Research/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":221649948,"owners_count":16857671,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["fusion","lidar-odometry","lidar-slam","mobile-robots","multiple-sensors","open-source","reconstruction","research-paper","semantic","slam","state-estimation","vins","vslam"],"created_at":"2024-07-31T02:00:48.757Z","updated_at":"2024-10-27T08:30:35.629Z","avatar_url":"https://github.com/YiChenCityU.png","language":null,"funding_links":[],"categories":["Uncategorized","优秀开源项目汇总","二 优秀开源项目汇总","Recommended github repository","Others","Softwares and Libraries"],"sub_categories":["Uncategorized","多相机拼接","SLAM Trend"],"readme":"\n# Recent_SLAM_Research_2021\n[SLAM research 2018](https://github.com/YiChenCityU/Recent_SLAM_Research/blob/master/SLAM_Research_2018.md)\n\n[SLAM research 2019](https://github.com/YiChenCityU/Recent_SLAM_Research/blob/master/SLAM_Research_2019.md)\n\n[SLAM research 2020](https://github.com/YiChenCityU/Recent_SLAM_Research/blob/master/SLAM_Research_2020.md)\n\n\n### SLAM \n#### 1. [Fusion] 2021-01-14-[Visual-IMU State Estimation with GPS and OpenStreetMap for Vehicles on a Smartphone](https://ieeexplore.ieee.org/abstract/document/9305386)\n#### 2. [Math] 2021-01-14-[On the Tightness of Semidefinite Relaxations for Rotation Estimation](https://arxiv.org/pdf/2101.02099.pdf)\n#### 3. [Calibration] 2021-01-14-[On-the-fly Extrinsic Calibration of Non-Overlapping in-Vehicle Cameras based on Visual SLAM under 90-degree Backing-up Parking](https://ieeexplore.ieee.org/abstract/document/9304530)\n#### 4. [Descriptor] 2021-01-14-[ASD-SLAM: A Novel Adaptive-Scale Descriptor Learning for Visual SLAM](https://ieeexplore.ieee.org/abstract/document/9304626)\n#### 5. [Panoramas] 2021-01-14-[UPSLAM: Union of Panoramas SLAM](https://arxiv.org/pdf/2101.00585.pdf)\n#### 6. [PhD thesis] 2021-01-14-[Uncertainty-Aware Attention Guided Sensor Fusion For Monocular Visual Inertial Odometry](https://elib.dlr.de/137048/1/thesis_ks.pdf)\n#### 7. [Calibration] 2021-01-23-[Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups](https://arxiv.org/pdf/2101.04431.pdf)\n#### 8. [Math] 2021-01-23-[Factor Graphs: Exploiting Structure in Robotics](https://www.annualreviews.org/doi/abs/10.1146/annurev-control-061520-010504)\n#### 9. [ICP] 2021-01-23-[Provably Approximated ICP](https://arxiv.org/pdf/2101.03588.pdf)\n#### 10. [MC-slam] 2021-01-23-[TIMA SLAM: Tracking Independently and Mapping Altogether for an Uncalibrated Multi-Camera System](https://www.mdpi.com/1424-8220/21/2/409)\n#### 11. [VIO] 2021-02-09-[Open AccessArticle Monocular Visual Inertial Direct SLAM with Robust Scale Estimation for Ground Robots/Vehicles](https://www.mdpi.com/2218-6581/10/1/23/htm)\n#### 12. [VIO] 2021-02-09-[VIO-Aided Structure from Motion Under Challenging Environments](https://arxiv.org/pdf/2101.09657.pdf)\n#### 13. [Calibration] 2021-02-09-[High-Precision Multicamera-Assisted Camera-IMU Calibration: Theory and Method](https://ieeexplore.ieee.org/abstract/document/9324746)\n#### 14. [DirectVO] 2021-02-09-[Tight Integration of Feature-Based Relocalization in Monocular Direct Visual Odometry](https://arxiv.org/pdf/2102.01191.pdf)\n#### 15. [Calibration] 2021-02-25-[Simultaneous End User Calibration of Multiple Magnetic Inertial Measurement Units With Associated Uncertainty](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9348890)\n#### 16. [VSLAM] 2021-02-25-[Point-line-based RGB-D SLAM and Bundle Adjustment Uncertainty Analysis](https://arxiv.org/pdf/2102.07110.pdf)\n#### 17. [VIO] 2021-02-25-[Consistent Right-Invariant Fixed-Lag Smoother with Application to Visual Inertial SLAM](https://arxiv.org/pdf/2102.08596.pdf)\n#### 18. [VIO] 2021-03-09-[OV2SLAM : A Fully Online and Versatile Visual SLAM for Real-Time Applications](https://arxiv.org/pdf/2102.04060.pdf)\n#### 19. [LVIO] 2021-03-09-[R2LIVE: A Robust, Real-time, LiDAR-Inertial-Visual tightly-coupled state Estimator and mapping](https://arxiv.org/pdf/2102.12400.pdf)\n#### 20. [Review] 2021-03-09-[Visual and Visual-Inertial SLAM: State of the Art, Classification,and Experimental Benchmarking](https://www.hindawi.com/journals/js/2021/2054828/)\n#### 21. [DVS] 2021-03-09-[Data-set for Event-based Optical Flow Evaluation in Robotics Applications](https://www.scitepress.org/Papers/2021/103203/103203.pdf)\n#### 22. [Lidar slam] 2021-03-09-[GR-LOAM: LiDAR-based sensor fusion SLAM for ground robots on complex terrain](https://www.sciencedirect.com/science/article/abs/pii/S0921889021000440)\n#### 23. [Fusion] 2021-03-09-[Range-Focused Fusion of Camera-IMU-UWB for Accurate and Drift-Reduced Localization](https://ieeexplore.ieee.org/abstract/document/9350155)\n#### 24. [VIO] 2021-03-09-[Accurate Visual-Inertial SLAM by Feature Re-identification](https://arxiv.org/pdf/2102.13438.pdf)\n#### 25. [Filter] 2021-03-09-[PHD-SLAM 2.0: Efficient SLAM in the Presence of Missdetections and Clutter](https://ieeexplore.ieee.org/abstract/document/9347824)\n#### 26. [R-LOAM] 2021-03-09-[R-LOAM: Improving LiDAR Odometry and Mapping with Point-To-Mesh Features of a Known 3D Reference Object](https://ieeexplore.ieee.org/abstract/document/9357902)\n#### 27. [VIO] 2021-03-09-[A One-Step Visual-Inertial Ego-Motion Estimation using Photometric Feedback](https://ieeexplore.ieee.org/abstract/document/9351635)\n#### 28. [Panoramic] 2021-03-09-[Panoramic annular SLAM with loop closure and global optimization](https://arxiv.org/pdf/2102.13400.pdf)\n#### 29. [Fusion] 2021-03-09-[Visual-Gyroscope-Wheel Odometry with Ground Plane Constraint for Indoor Robots in Dynamic Environment](https://ieeexplore.ieee.org/abstract/document/9347674)\n#### 30. [Learned VO] 2021-03-09-[DF-VO: What Should Be Learnt for Visual Odometry?](https://arxiv.org/pdf/2103.00933.pdf)\n#### 31. [Fusion] 2021-03-09-[An Outline of Multi-Sensor Fusion Methods for Mobile Agents Indoor Navigation](https://pubmed.ncbi.nlm.nih.gov/33668886/)\n#### 32. [VIO] 2021-03-09-[Run Your Visual-Inertial Odometry on NVIDIA Jetson : Benchmark Tests on a Micro Aerial Vehicle](https://arxiv.org/pdf/2103.01655.pdf)\n#### 33. [Reconstruction] 2021-03-09-[A Pose-only Solution to Visual Reconstruction and Navigation](https://arxiv.org/pdf/2103.01530.pdf)\n#### 34. [Reconstruction] 2021-03-09-[Square Root Bundle Adjustment for Large-Scale Reconstruction](https://arxiv.org/pdf/2103.01843.pdf)\n#### 35. [Fusion] 2021-03-09-[Range-Visual-Inertial Odometry: Scale Observability Without Excitation](https://ieeexplore.ieee.org/abstract/document/9353193)\n#### 36. [Optimization] 2021-03-09-[Sparse Pose Graph Optimization in Cycle Space](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9346012)\n#### 37. [DeepVO] 2021-03-26-[Deep Online Correction for Monocular Visual Odometry](https://arxiv.org/pdf/2103.10029.pdf)\n#### 38. [RP-VIO] 2021-03-26-[RP-VIO: Robust Plane-based Visual-Inertial Odometry for Dynamic Environments](https://arxiv.org/pdf/2103.10400.pdf)\n#### 39. [Application] 2021-03-26-[Small Commercial UAVs for Indoor Search and Rescue Missions](https://ieeexplore.ieee.org/abstract/document/9376551)\n#### 40. [calibration] 2021-04-01-[A Joint Extrinsic Calibration Tool for Radar, Camera and Lidar](https://www.researchgate.net/publication/335144582_An_Extrinsic_Calibration_Tool_for_Radar_Camera_and_Lidar)\n#### 41. [Learning SFM] 2021-04-01-[DRO: Deep Recurrent Optimizer for Structure-from-Motion](https://arxiv.org/pdf/2103.13201.pdf)\n#### 42. [VIO] 2021-04-01-[Distributed Visual-Inertial Cooperative Localization](https://arxiv.org/pdf/2103.12770.pdf)\n#### 43. [VO] 2021-04-01-[MBA-VO: Motion Blur Aware Visual Odometry](https://arxiv.org/pdf/2103.13684.pdf)\n#### 44. [Reconstruction] 2021-04-14-[Sketch2Mesh: Reconstructing and Editing 3D Shapes from Sketches](https://arxiv.org/pdf/2104.00482.pdf)\n#### 45. [Reconstruction] 2021-04-14-[Deep Two-View Structure-from-Motion Revisited](https://arxiv.org/pdf/2104.00556.pdf)\n#### 46. [Reconstruction] 2021-04-14-[NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video](https://arxiv.org/pdf/2104.00681.pdf)\n#### 47. [Mapping] 2021-04-14-[A Front-End for Dense Monocular SLAM using a Learned Outlier Mask Prior](https://arxiv.org/pdf/2104.00562.pdf)\n#### 48. [VO] 2021-04-14-[An Energy-Efficient Quad-Camera Visual System for Autonomous Machines on FPGA Platform](https://arxiv.org/pdf/2104.00192.pdf)\n#### 49. [VO] 2021-04-14-[FSD-SLAM: a fast semi-direct SLAM algorithm](https://link.springer.com/article/10.1007/s40747-021-00323-y)\n#### 50. [Reconstruction] 2021-04-14-[3D SURFACE RECONSTRUCTION FROM MULTI-DATE SATELLITE IMAGES](https://arxiv.org/pdf/2102.02502.pdf)\n#### 51. [VO] 2021-04-14-[Towards Real-time Semantic RGB-D SLAM in Dynamic Environments](https://arxiv.org/pdf/2104.01316.pdf)\n#### 52. [ORB] 2021-05-15-[Reconfigurable Multi-Access Pattern Vector Memory For Real-Time ORB Feature Extraction](https://ieeexplore.ieee.org/abstract/document/9401698)\n#### 53. [VIO] 2021-05-15-[An Equivariant Filter for Visual Inertial Odometry](https://arxiv.org/pdf/2104.03532.pdf)\n#### 54. [VO] 2021-05-15-[VOLDOR+SLAM: For the times when feature-based or direct methods are not good enough](https://arxiv.org/pdf/2104.06800.pdf)\n#### 55. [LVI] 2021-05-15-[LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping](https://arxiv.org/pdf/2104.10831.pdf)\n#### 56. [VO] 2021-05-15-[Extreme Rotation Estimation using Dense Correlation Volumes](https://arxiv.org/pdf/2104.13530.pdf)\n#### 57. [optimization] 2021-06-07-[A Comparison of Graph Optimization Approaches for Pose Estimation in SLAM](https://lamor.fer.hr/images/50036607/2021-ajuric-comparison-mipro.pdf)\n#### 58. [calibration] 2021-06-07-[iCalib: Inertial Aided Multi-Sensor Calibration](http://yangyulin.net/papers/2021_vinsworkshop_iCalib.pdf)\n#### 59. [learned vo] 2021-06-07-[DeepAVO: Efficient Pose Refining with Feature Distilling for Deep Visual Odometry](https://arxiv.org/pdf/2105.09899.pdf)\n#### 60. [Reconstruction] 2021-06-07-[Multi-view 3D Reconstruction of a Texture-less Smooth Surface of Unknown Generic Reflectance](https://arxiv.org/pdf/2105.11599.pdf)\n#### 61. [Tools] 2021-08-13-[OdoViz: A 3D Odometry Visualization and Processing Tool](https://arxiv.org/pdf/2107.07557.pdf)\n#### 62. [Fusion] 2021-08-24-[Multi-Camera Sensor Fusion for Visual Odometry using Deep Uncertainty Estimation](http://personal.ee.surrey.ac.uk/R.Bowden/publications/2021/Kaygusuz_ITSC2021pp.pdf)\n#### 63. [Fusion] 2021-08-24-[Resilient Indoor Localization System Based on UWB and Visual–Inertial Sensors for Complex Environments](https://ieeexplore.ieee.org/abstract/document/9503372)\n#### 64. [Event camera] 2021-08-24-[TUM-VIE: The TUM Stereo Visual-Inertial Event Dataset](https://arxiv.org/pdf/2108.07329.pdf)\n#### 65. [Monocular] 2021-08-24-[A Hybrid Sparse-Dense Monocular SLAM System for Autonomous Driving](https://arxiv.org/pdf/2108.07736.pdf)\n#### 66. [Fusion] 2021-08-24-[Tightly-Coupled Multi-Sensor Fusion for Localization with LiDAR Feature Maps](https://sites.google.com/site/drjizhao/PanL_2021_ICRA.pdf)\n#### 67. [BA] 2021-08-24-[SBAS: Salient Bundle Adjustment for Visual SLAM](https://ieeexplore.ieee.org/abstract/document/9514570)\n#### 68. [Lidar] 2021-08-24-[Piecewise Linear De-skewing for LiDAR Inertial Odometry](https://arxiv.org/pdf/2108.06078.pdf)\n#### 69. [Deep SLAM] 2021-08-25-[DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras](https://arxiv.org/pdf/2108.10869.pdf)\n#### 70. [Deep SLAM] 2021-08-27-[MDN-VO: Estimating Visual Odometry with Confidence](http://personal.ee.surrey.ac.uk/Personal/R.Bowden/publications/2021/Kaygusuz_IROS2021pp.pdf)\n#### 71. [Object slam] 2021-08-30-[DSP-SLAM: Object Oriented SLAM with Deep Shape Priors](https://arxiv.org/pdf/2108.09481.pdf)\n#### 72. [VSLAM] 2021-08-30-[Semi-dense visual-inertial odometry and mapping for computationally constrained platforms](https://link.springer.com/article/10.1007/s10514-021-10002-z)\n#### 73. [BA] 2021-09-01-[On Bundle Adjustment for Multiview Point Cloud Registration](https://arxiv.org/pdf/2108.02976.pdf)\n#### 73. [Math] 2021-09-01-[Robust Rank Deficient SLAM](https://assets.amazon.science/3e/7e/cf8b582f40d5bef6ba075e86bea7/robust-rank-deficient-slam.pdf)\n#### 73. [COVINS] 2021-09-01-[COVINS: Visual-Inertial SLAM for Centralized Collaboration](https://arxiv.org/pdf/2108.05756.pdf)\n#### 74. [EKF VIO] 2021-09-10-[An Equivariant Filter for Visual Inertial Odometry](https://arxiv.org/pdf/2104.03532.pdf)\n#### 75. [Event Camera] 2021-09-10-[EventPoint: Self-Supervised Local Descriptor Learning for Event Cameras](https://arxiv.org/pdf/2109.00210.pdf)\n#### 76. [GNSS] 2021-09-10-[GNSS Outlier Mitigation Via Graduated NonConvexity Factor Graph Optimization](https://arxiv.org/pdf/2109.00667.pdf)\n#### 77. [VSLAM] 2021-09-10-[Visual SLAM with Graph-Cut Optimized Multi-Plane Reconstruction](https://arxiv.org/pdf/2108.04281.pdf)\n#### 78. [VIO] 2021-09-10-[Sampson Distance: A New Approach to Improving VisualInertial Odometry’s Accuracy](http://www.people.vcu.edu/~cye/Sampson_IROS_2021.pdf)\n#### 79. [Application] 2021-09-10-[A Wearable Robotic Device for Assistive Navigation and Object Manipulation](http://www.people.vcu.edu/~cye/Wearble_Aid_IROS2021.pdf)\n#### 80. [Reconstruction] 2021-09-10-[Vis2Mesh: Efficient Mesh Reconstruction from Unstructured Point Clouds of Large Scenes with Learned Virtual View Visibility](https://github.com/GDAOSU/vis2mesh)\n#### 81. [IMU] 2021-09-13-[Exploring the Accuracy Potential of IMU Preintegration in Factor Graph Optimization](https://arxiv.org/pdf/2109.03010.pdf)\n#### 82. [UWB] 2021-09-13-[MIR-VIO: Mutual Information Residual-based Visual Inertial Odometry with UWB Fusion for Robust Localization](https://arxiv.org/abs/2109.00747)\n#### 83. [SLAM] 2021-09-13-[Predicting Performance of SLAM Algorithms](https://arxiv.org/pdf/2109.02329.pdf)\n#### 84. [DL based] 2021-09-13-[UnDeepLIO: Unsupervised Deep Lidar-Inertial Odometry](https://arxiv.org/pdf/2109.01533.pdf)\n#### 85. [Fusion] 2021-09-13-[Tightly-Coupled Multi-Sensor Fusion for Localization with LiDAR Feature Maps](https://db6b4ecf-a-62cb3a1a-s-sites.googlegroups.com/site/drjizhao/PanL_2021_ICRA.pdf?attachauth=ANoY7co5u5zWmD-XRJl8KUlAXSZarHJynMOXImGGTAoHfLqhwA9xR2lpr6IripVIAt-hz1c1dPYW3TafQD9IUPSz2H3ar3woGUfvBFb7F-KyuCWYsedQVhs1G8_yWlvIXRjt1nHbM8ykss9OLLGzL5FiXuhWy8P8BnnVlenE--uVp4vKzsP5yPnlgY2oho8V2nrFVV5dmdtwvcUdXIvm5HKSsl3mB0Zx8w%3D%3D\u0026attredirects=0)\n#### 86. [BA] 2021-09-13-[Square Root Marginalization for Sliding-Window Bundle Adjustment](https://arxiv.org/pdf/2109.02182.pdf)\n#### 87. [VIO] 2021-09-15-[Semi-dense visual-inertial odometry and mapping for computationally constrained platforms](https://link.springer.com/article/10.1007/s10514-021-10002-z)\n#### 87. [DeepLearning BA] 2021-09-15-[PoGO-Net: Pose Graph Optimization with Graph Neural Networks](https://www3.cs.stonybrook.edu/~hling/publication/PoGO-Net-21.pdf)\n#### 88. [DeepLearning MVS] 2021-09-15-[NeuralMVS: Bridging Multi-View Stereo and Novel View Synthesis](https://arxiv.org/pdf/2108.03880.pdf)\n#### 89. [IMU] 2021-09-15-[Exploring the Accuracy Potential of IMU Preintegration in Factor Graph Optimization](https://arxiv.org/pdf/2109.03010.pdf)\n#### 90. [Thesis] 2021-09-15-[Self Exploration and Mapping for Indoor Robotic Applications](https://repositories.lib.utexas.edu/handle/2152/87236)\n#### 91. [Fusion] 2021-09-15-[Tightly-Coupled Multi-Sensor Fusion for Localization with LiDAR Feature Maps](https://db6b4ecf-a-62cb3a1a-s-sites.googlegroups.com/site/drjizhao/PanL_2021_ICRA.pdf?attachauth=ANoY7co5u5zWmD-XRJl8KUlAXSZarHJynMOXImGGTAoHfLqhwA9xR2lpr6IripVIAt-hz1c1dPYW3TafQD9IUPSz2H3ar3woGUfvBFb7F-KyuCWYsedQVhs1G8_yWlvIXRjt1nHbM8ykss9OLLGzL5FiXuhWy8P8BnnVlenE--uVp4vKzsP5yPnlgY2oho8V2nrFVV5dmdtwvcUdXIvm5HKSsl3mB0Zx8w%3D%3D\u0026attredirects=0)\n#### 92. [BA] 2021-09-15-[Square Root Marginalization for Sliding-Window Bundle Adjustment](https://arxiv.org/pdf/2109.02182.pdf)\n#### 93. [semantic] 2021-09-23-[Evaluating the Impact of Semantic Segmentation and Pose Estimation on Dense Semantic SLAM](https://arxiv.org/pdf/2109.07748.pdf)\n#### 94. [mapping] 2021-09-23-[Efficient and Probabilistic Adaptive Voxel Mapping for Accurate Online 3D SLAM](https://arxiv.org/pdf/2109.07082.pdf)\n#### 95. [semantic] 2021-09-23-[S3LAM: Structured Scene SLAM](https://arxiv.org/pdf/2109.07339.pdf)\n#### 96. [fusion] 2021-09-23-[R3LIVE: A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package](https://arxiv.org/pdf/2109.07982.pdf)\n#### 97. [Calibration] 2021-09-23-[Fast and Accurate Extrinsic Calibration for Multiple LiDARs and Cameras](https://arxiv.org/pdf/2109.06550.pdf)\n#### 98. [lidar] 2021-09-23-[Globally Consistent 3D LiDAR Mapping with GPU-accelerated GICP Matching Cost Factors](https://arxiv.org/pdf/2109.07073.pdf)\n#### 99. [Math] 2021-10-21-[Active SLAM over Continuous Trajectory and Control:A Covariance-Feedback Approach](https://arxiv.org/pdf/2110.07546.pdf)\n#### 100. [radar] 2021-10-21-[Oriented surface points for efficient and accurate radar odometry](https://arxiv.org/pdf/2109.09994.pdf)\n#### 101. [Dataset] 2021-10-21-[DenseMatch: a dataset for real-time 3D reconstruction](https://www.sciencedirect.com/science/article/pii/S2352340921007575)\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FYiChenCityU%2FRecent_SLAM_Research","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FYiChenCityU%2FRecent_SLAM_Research","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FYiChenCityU%2FRecent_SLAM_Research/lists"}