Stereo Visual Inertial LiDAR Simultaneous Localization and Mapping
February 27, 2019 ยท Declared Dead ยท ๐ IEEE/RJS International Conference on Intelligent RObots and Systems
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Authors
Weizhao Shao, Srinivasan Vijayarangan, Cong Li, George Kantor
arXiv ID
1902.10741
Category
cs.RO: Robotics
Citations
109
Venue
IEEE/RJS International Conference on Intelligent RObots and Systems
Last Checked
1 month ago
Abstract
Simultaneous Localization and Mapping (SLAM) is a fundamental task to mobile and aerial robotics. LiDAR based systems have proven to be superior compared to vision based systems due to its accuracy and robustness. In spite of its superiority, pure LiDAR based systems fail in certain degenerate cases like traveling through a tunnel. We propose Stereo Visual Inertial LiDAR (VIL) SLAM that performs better on these degenerate cases and has comparable performance on all other cases. VIL-SLAM accomplishes this by incorporating tightly-coupled stereo visual inertial odometry (VIO) with LiDAR mapping and LiDAR enhanced visual loop closure. The system generates loop-closure corrected 6-DOF LiDAR poses in real-time and 1cm voxel dense maps near real-time. VIL-SLAM demonstrates improved accuracy and robustness compared to state-of-the-art LiDAR methods.
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