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GR-LOAM: LiDAR-based sensor fusion SLAM for ground robots on complex terrain

  • Published:2021-06 Issue: Volume:140 Page:103759
  • ISSN:0921-8890
  • Container-title:Robotics and Autonomous Systems
  • language:en
  • Short-container-title:Robotics and Autonomous Systems

Author:

Su YunORCID,Wang TingORCID,Shao ShiliangORCID,Yao Chen,Wang Zhidong

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

Reference37 articles.

1. ORB-SLAM: a versatile and accurate monocular SLAM system;Mur-Artal;IEEE Trans. Robot.,2015

2. Direct sparse odometry;Engel;IEEE Trans. Pattern Anal. Mach. Intell.,2017

3. SVO: Fast semi-direct monocular visual odometry;Forster,2014

4. Keyframe-based visual–inertial odometry using nonlinear optimization;Leutenegger;Int. J. Robot. Res.,2015

5. Visual-inertial monocular SLAM with map reuse;Mur-Artal;IEEE Robot. Autom. Lett.,2017

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1. Graph-based adaptive weighted fusion SLAM using multimodal data in complex underground spaces;ISPRS Journal of Photogrammetry and Remote Sensing;2024-11

2. A review of advanced techniques in simultaneous localization and mapping;Journal of Physics: Conference Series;2024-08-01

3. BiCR-SLAM: A multi-source fusion SLAM system for biped climbing robots in truss environments;Robotics and Autonomous Systems;2024-06

4. 3D LiDAR SLAM: A survey;The Photogrammetric Record;2024-05-13

5. Non-Intrusive LiDAR Protection Module Emulating Bio-Inspired Wiping Motion for Outdoor Unmanned Vehicles;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
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