A real-time, direct and tightly-coupled LiDAR-Inertial SLAM for high velocities with spinning LiDARs
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Updated
Jul 24, 2024 - C++
A real-time, direct and tightly-coupled LiDAR-Inertial SLAM for high velocities with spinning LiDARs
3D LIDAR-based Graph SLAM
LiDAR processing ROS2. Segmentation: "Fast Ground Segmentation for 3D LiDAR Point Cloud Based on Jump-Convolution-Process". Clustering: "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance".
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
Surfel-based Mapping for 3d Laser Range Data (SuMa)
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.
OpenDLV Microservice to interface with VelodyneLidar VDL-16 units (Puck)
OpenDLV Microservice to interface with VelodyneLidar HDL32e units
Raycasting based Range Sensor Simulation in Gazebo using Rmagine
Efficient Online Transfer Learning for 3D Object Detection in Autonomous Driving
My awesome point cloud labeling tool
Point Cloud 3D Visual Perception Simulation that runs on real LiDAR data
[ROS package] Lightweight and Accurate Point Cloud Clustering
Ackermann Car Simulation in Gazebo
Real-time 3D localization using a (velodyne) 3D LIDAR
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