SSL_SLAM2: Lightweight 3-D Localization and Mapping for Solid-State LiDAR (mapping and localization separated) ICRA 2021. Ported to ROS2 Humble
-
Updated
May 3, 2024 - C++
SSL_SLAM2: Lightweight 3-D Localization and Mapping for Solid-State LiDAR (mapping and localization separated) ICRA 2021. Ported to ROS2 Humble
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.
Intensity Scan Context based full SLAM implementation for autonomous driving. ICRA 2020
Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization IROS 2021
A CUDA reimplementation of the line/plane odometry of LIO-SAM. A point cloud hash map (inspired by iVox of Faster-LIO) on GPU is used to accelerate 5-neighbour KNN search.
LiLi-OM is a tightly-coupled, keyframe-based LiDAR-inertial odometry and mapping system for both solid-state-LiDAR and conventional LiDARs.
Robust LiDAR SLAM with a versatile plug-and-play loop closing and pose-graph optimization.
A re-implementation of A-LOAM with more modularized design and clearer logic
LIO-SAM-6AXIS with intensity image loop optimization
LIDAR(Livox Horizon) point cloud preprocessing, including point cloud filtering and point cloud feature extraction (edge points and planar points)
Easy description to run and evaluate A-LOAM with KITTI-data
LiLo: Lite 3D-Lidar Odometry
A real-time LiDAR SLAM package that integrates TLOAM and ScanContext.
A real-time LiDAR SLAM package that integrates FLOAM and ScanContext.
Add a description, image, and links to the loam topic page so that developers can more easily learn about it.
To associate your repository with the loam topic, visit your repo's landing page and select "manage topics."