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.

[CVPR 2023] Query-Centric Trajectory Prediction

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

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.

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

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 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