A 3D computer vision development toolkit based on PaddlePaddle. It supports point-cloud object detection, segmentation, and monocular 3D object detection models.
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Updated
May 31, 2024 - Python
A 3D computer vision development toolkit based on PaddlePaddle. It supports point-cloud object detection, segmentation, and monocular 3D object detection models.
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
[CVPR 2023] Query-Centric Trajectory Prediction
TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction. ICRA 2023.
Exploring Simple 3D Multi-Object Tracking for Autonomous Driving (ICCV 2021)
PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds (CVPR 2023)
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
Object detection in urban environments using transfer learning with TensorFlow Object Detection API and AWS SageMaker. Trained on Waymo Open Dataset.
Sparse2Dense: Learning to Densify 3D Features for 3D Object Detection (NeurIPS 2022)
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