OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
- point-cloud
- 3d-detection
- autonomous-driving
- pv-rcnn
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OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
Advanced implementation of LOAM
ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)
SuMa++: Efficient LiDAR-based Semantic SLAM (Chen et al IROS 2019)
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
OverlapNet - Loop Closing for 3D LiDAR-based SLAM (chen2020rss)
LiDAR point cloud ground filtering / segmentation (bare earth extraction) method based on cloth simulation
Music discovery tool that provides recommendations based on selected Lidarr artists, using Spotify or LastFM.
Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation
[ICRA2021] A low-cost SLAM system based on camera and Livox lidar.
Intensity-based_Lidar_Camera_Calibration
Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving
Implementation for PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation (CVPR 2020)
Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗
This is a package for LiDARTag, described in paper: LiDARTag: A Real-Time Fiducial Tag System for Point Clouds
Simulation-based Lidar Super-resolution for Ground Vehicles
Transformer-SRU LiDAR navigation for Unitree G1: Isaac Lab training, MuJoCo validation, and ROS 2 deployment.
A graphical user interface to annotate point clouds and 3D data.