Chan Ming's repositories
autograph-pub
Repository for the publication "AutoGraph: Predicting Lane Graphs from Traffic"
BEVFormer
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
ColossalAI
Making big AI models cheaper, easier, and scalable
DriveLM
DriveLM: Drive on Language
Fast-BEV
Fast-BEV: Towards Real-time On-vehicle Bird’s-Eye View Perception
Fast-Planner
A Robust and Efficient Trajectory Planner for Quadrotors
Hierarchical-Localization
Visual localization made easy with hloc
HiVT
[CVPR 2022] HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction
lanegnn
[CVPR 2023] Repository for the UrbanLaneGraph Dataset & Benchmark and the LaneGNN approach
MetaBEV
MetaBEV: Solving Sensor Failures for BEV Detection and Map Segmentation
occupancy-for-nuscenes
3D occupancy
occupancy_networks
This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"
Online-HD-Map-Construction-CVPR2023
Online HD Map Construction CVPR2023
OpenOccupancy
OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception
pytorch-auto-drive
PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help
RNGDetPlusPlus
Official repo of paper RNGDet++: Road Network Graph Detection by Transformer with Instance Segmentation and Multi-scale Features Enhancement
TNT-Trajectory-Prediction
A Pytorch Implementation of TNT: Target-driveN Trajectory Prediction
UniAD
[CVPR 2023 Best Paper] Planning-oriented Autonomous Driving
VAD
[ICCV 2023] VAD: Vectorized Scene Representation for Efficient Autonomous Driving
vectormapnet
VectorMapNet: End-to-end Vectorized HD map learning