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awesome-3d-object-detection-for-autonomous-driving

Papers on 3D Object Detection for Autonomous Driving

complex-yolo

Complex-YOLO: Real-time 3D Object Detection on Point Clouds pytorch Darknet

complex-yolov3

PyTorch implementation of Complex-YOLO paper with YoloV3

cuda-pointpillars

A project demonstrating how to use CUDA-PointPillars to deal with cloud points data from lidar.

lidar-obstacle-detection

Lidar Obstacle Detection in C++

lidar_rcnn

LiDAR R-CNN: An Efficient and Universal 3D Object Detector

mot_neural_solver

Official PyTorch implementation of "Learning a Neural Solver for Multiple Object Tracking" (CVPR 2020 Oral).

openpcdet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

pillar-motion

Self-Supervised Pillar Motion Learning for Autonomous Driving (CVPR 2021)

point-pillars

A fast PointPillar-Multihead lidar detector

pointpillars_multihead_40fps

A REAL-TIME 3D detection network [Pointpillars] compiled by CUDA/TensorRT/C++.

pointrcnn

PointRCNN+Frustum Pointnet

pointrcnn-1

PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.

qt-lidar-object-detection

QT (Quad-Tree Segmentation)

sa-voxel-centernet

A 3d LIDAR object detection model

sfa3d

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

tanet

The AAAI-2020 Paper(Oral):"TANet: Robust 3D Object Detection from Point Clouds with Triple Attention"

virtual_environment_python3

The instruction to setup a virtual environment

voxel-r-cnn