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
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.
LiLo: Lite 3D-Lidar Odometry
A real-time LiDAR SLAM package that integrates TLOAM and ScanContext.
SC-A-LOAM with Localization module. Tested on KITTI-Odometry dataset.
🚀 Achieve real-time LiDAR odometry with robust state estimation using Probabilistic Kernel Optimization for SLAM applications.
🌐 Accelerate LiDAR-Inertial odometry for accurate motion tracking with advanced estimation and efficient data management using pre-computed surfels.
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