jinchao Hu's repositories
mmTransformer
[CVPR 2021] "Multimodal Motion Prediction with Stacked Transformers": official code implementation and project page.
AdvTrajectoryPrediction
Implementation of CVPR 2022 paper "On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles" https://arxiv.org/abs/2201.05057
automatic_vehicular_control
[IEEE T-ASE] [IROS 2022] Unified Automatic Control of Vehicular Systems With Reinforcement Learning
BEVHeight
An official code release of our CVPR'23 paper, BEVHeight
CoBEVFlow
[NeurIPS 2023] Asynchrony-Robust Collaborative Perception via Bird’s Eye View Flow
crossing-crowdsourcing
A framework for the analysis of perceived risk in the interaction between pedestrian and vehicle, from the perspective of the driver using a crowdsourcing approach.
decentralized_bottlenecks
Code and figures for bottlenecks paper
DI-drive
OpenDILab Auto-driving platform
easy-rl
强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/
flow
Computational framework for reinforcement learning in traffic control
FOST
FOST is a general forecasting tool, which demonstrate our experience and advanced technology in practical forecasting domains, including temporal, spatial-temporal and hierarchical forecasting. Current general forecasting tools (Gluon-TS by amazon, Prophet by facebook etc.) can not process and model structural graph data, especially in spatial domains, also those tools suffer from tradeoff between usability and accuracy. To address these challenges, we design and develop FOST and aims to empower engineers and data scientists to build high-accuracy and easy-usability forecasting tools.
GPT4V-AD-Exploration
On the Road with GPT-4V(ision): Early Explorations of Visual-Language Model on Autonomous Driving
Graph_CAVs
The source code for our paper: Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges. This code is developed based on our previous repository TorchGRL.
gym-carla
An OpenAI gym wrapper for CARLA simulator
h-baselines
A repository of high-performing hierarchical reinforcement learning models and algorithms.
il-traffic
Learning energy-efficient driving behaviors by imitating experts
LMDrive
LMDrive: Closed-Loop End-to-End Driving with Large Language Models
machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
metadrive
MetaDrive: Composing Diverse Scenarios for Generalizable Reinforcement Learning
Occ4cast
Occ4cast: LiDAR-based 4D Occupancy Completion and Forecasting
OccWorld
3D World Model for Autonomous Driving
OpenCDA
A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.
OpenCOOD
[ICRA 2022] An opensource framework for cooperative detection. Official implementation for OPV2V.
Papers
Daily Paper Reading
QCNet
[CVPR 2023] Query-Centric Trajectory Prediction
SimpleOccupancy
A Simple Framework for 3D Occupancy Estimation in Autonomous Driving
sumo-rl
An interface for Reinforcement Learning environments with SUMO for Traffic Signal Control. Compatible with gym, PettingZoo and RLlib.
UCF-SST-CitySim-Dataset
Official github page of UCF SST CitySim Dataset