3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset.
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Updated
Nov 6, 2018 - Python
3D Object Detection for Autonomous Driving in PyTorch, trained on the KITTI dataset.
VoxelNet implementation in Chainer
Forked from AVOD & Add some new feature
3d bounding box estimation from monocular image based on 2d bounding box
Paper list of deep learning on point clouds.
Point Cloud processing (VoxelGrid Downsampling, RANSAC Segmentation, KDTree Euclidean Clustering) for obstacle detection for autonomous vehicles.
The papers in this list are about 3d detection, especially those using point clouds.
ROS packages for 3D detection and tracking.
Find ground breaking 3D point cloud analysis papers
DSGN: Deep Stereo Geometry Network for 3D Object Detection (CVPR 2020)
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review
Official version of 'Weakly Supervised 3D object detection from Lidar Point Cloud'(ECCV2020)
基于Qt实现的图片数据标注工具. Image Annotation Tool Based on Qt, supporting 2D/3D Detection/Segmentation Annotation.
Context-Aware Dynamic Feature Extraction for 3D Object Detection in Point Clouds
SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds (ECCV2020)
3D Bounding Box Estimation Using Deep Learning and Geometry (MultiBin)
🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey
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