LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
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Updated
Dec 13, 2024 - C++
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
loam code noted in Chinese(loam中文注解版)
LIO_SAM for 6-axis IMU and GNSS.
LiLi-OM is a tightly-coupled, keyframe-based LiDAR-inertial odometry and mapping system for both solid-state-LiDAR and conventional LiDARs.
LIO-SAM-6AXIS with intensity image loop optimization
css_loam_velodyne
loam velodyne tested with the KITTI dataset
LiLo: Lite 3D-Lidar Odometry
This is the official repository of LiLi-OM, a tightly-coupled, keyframe-based LiDAR-inertial odometry and mapping system for both solid-state-LiDAR and conventional LiDARs.
A real-time LiDAR SLAM package that integrates TLOAM and ScanContext.
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