LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
翻译 - LIO-SAM：通过平滑和映射实现紧密耦合的激光雷达惯性里程表
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
翻译 - 激光里程表和制图（Loam）是一种使用3D激光雷达进行状态估计和制图的实时方法。
#博客#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
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.
