Showing 5 of 5 projects
A PyTorch implementation for super fast and accurate 3D object detection using LiDAR point clouds, featuring an anchor-free approach.
A modular C++ and ROS 2 framework for building configurable LiDAR odometry and SLAM pipelines.
A convolutional neural network model for real-time road-object segmentation from 3D LiDAR point clouds.
A Python implementation for fully automatic extrinsic calibration of 3D LiDAR and cameras using laser reflectance intensity.
A full LiDAR SLAM system for static environment mapping using LiDAR with optional GPS, IMU, and odometry support.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.