Popular GitHub Repositories for Waymo Open Dataset

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

[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++

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)

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

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.

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

Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models. CVPR 2025.

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

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

Implementation of "MotionCNN: A Strong Baseline for Motion Prediction in Autonomous Driving" for Waymo Open Motion Dataset

TrafficBots V1.5: TrafficBots + HPTR. 3rd place solution for Waymo Open Sim Agent Challenge 2024.

Course submission material for Lidar point cloud based 3D Detection using Yolo, followed by Sensor Fusion and Camera Based Tracking using Extended Kalman Filters for Udacity Self Driving Nanodegree

Course submission material for Sensor Fusion and Camera based tracking using Extended Kalman Filters for Udacity Self Driving Nanodegree.