Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
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Updated
Apr 4, 2019 - C++
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
SSL_SLAM2: Lightweight 3-D Localization and Mapping for Solid-State LiDAR (mapping and localization separated) ICRA 2021. Ported to ROS2 Humble
A re-implementation of A-LOAM with more modularized design and clearer logic
A real-time LiDAR SLAM package that integrates TLOAM and ScanContext.
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
LIDAR(Livox Horizon) point cloud preprocessing, including point cloud filtering and point cloud feature extraction (edge points and planar points)
A real-time LiDAR SLAM package that integrates FLOAM and ScanContext.
css_loam_velodyne
Easy description to run and evaluate A-LOAM with KITTI-data
LIO-SAM-6AXIS with intensity image loop optimization
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