PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds (CVPR 2023)
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Updated
Jun 21, 2024 - Python
PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds (CVPR 2023)
A 3D computer vision development toolkit based on PaddlePaddle. It supports point-cloud object detection, segmentation, and monocular 3D object detection models.
TrafficBots V1.5: TrafficBots + HPTR. 3rd place solution for Waymo Open Sim Agent Challenge 2024.
三维点云数据集下载sh脚本(目标检测,语义分割, ...)
A toolkit for Waymo Open Dataset <-> KITTI conversions
Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding. NeurIPS 2023.
A very simple toolkit to extract data from Waymo Open Dataset
Official Pytorch Implementation of MotionPerceiver: Real-Time Occuapncy Forecasting for Embedded Systems
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
Waymo Preprocessing Tools (aka Open-Waymo).
[CVPR 2023] Query-Centric Trajectory Prediction
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
Exploring Simple 3D Multi-Object Tracking for Autonomous Driving (ICCV 2021)
USB: Universal-Scale Object Detection Benchmark (BMVC 2022)
Projects developed during gaining the self-driving car nano-degree from Udacity
VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)
3D Object Detection for Autonomous Driving: A Comprehensive Survey (IJCV 2023)
Solution for Waymo Motion Prediction Challenge 2022. Our implementation of MultiPath++
Implementation of "MotionCNN: A Strong Baseline for Motion Prediction in Autonomous Driving" for Waymo Open Motion Dataset
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