VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)

A 3D computer vision development toolkit based on PaddlePaddle. It supports point-cloud object detection, segmentation, and monocular 3D object detection models.

3D Object Detection for Autonomous Driving: A Comprehensive Survey (IJCV 2023)

[CVPR 2023] Query-Centric Trajectory Prediction

USB: Universal-Scale Object Detection Benchmark (BMVC 2022)

Solution for Waymo Motion Prediction Challenge 2022. Our implementation of MultiPath++

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

PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds (CVPR 2023)

Exploring Simple 3D Multi-Object Tracking for Autonomous Driving (ICCV 2021)

A toolkit for Waymo Open Dataset <-> KITTI conversions

Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding. NeurIPS 2023.

An Efficient, Flexible, and General deep learning framework that retains minimal.

A tool converting Waymo dataset format to Kitti dataset format.

Code base for M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers

This is the offical implementation of the paper "MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous Driving"

This repository provides awesome research papers for autonomous driving perception. If you do find a problem or have any suggestions, please raise this as an issue or make a pull request with information (format of the repo): Research paper title, datasets, metrics, objects, source code, publisher, and year.

Sparse2Dense: Learning to Densify 3D Features for 3D Object Detection (NeurIPS 2022)

Progressive Coordinate Transforms for Monocular 3D Object Detection, NeurIPS 2021

TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction. ICRA 2023. You may also want to check out the updated version: https://github.com/zhejz/TrafficBotsV1.5

Waymo Open Dataset converter to COCO format