OpenMMLab's next-generation platform for general 3D object detection.
- pytorch
- 3d-object-detection
- object-detection
- point-cloud
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OpenMMLab's next-generation platform for general 3D object detection.
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
World's first general purpose 3D object detection codebse.
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs
Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)
An elegant Python interface for visualization on the web platform to interactively generate insights into multidimensional images, point sets, and geometry.
Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation
Intensity-based_Lidar_Camera_Calibration
Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving
DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization