Pinned Repositories
Autopilot-Notes
自动驾驶笔记，以解析各模块知识点、整合行业优秀解决方案进行阐述，以帮助自己及有需要的读者；包含深度学习、deeplearning、无人驾驶、BEV、Transformer、ADAS、CVPR、特斯拉AI DAY、大模型、chatgpt等内容。由于水平有限，文中不妥之处恳请广大读者批评指正。如有合作意向，请联系 931531133@qq.com
AV-Nash-Q-Learning
Implementation of Nash Q-Learning for Autonomous Vehicle Decision Making
awesome-driving-behavior-prediction
A collection of research papers for Driving Behavior Prediction
BehaviorMetrics
Autonomous driving neural network comparison tool
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.
Birds-eye-view-Perception
[IEEE T-PAMI] Awesome BEV perception research and cookbook for all level audience in autonomous diriving
CurvesGenerator
Common used curves for motion planning.
Deep-QLearning-Agent-for-Traffic-Signal-Control
A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.
driver-dojo
A benchmark towards generalizable reinforcement learning for autonomous driving.
Driving-IRL-NGSIM
[T-ITS] Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning
ShenZC25's Repositories
ShenZC25/awesome-driving-behavior-prediction
A collection of research papers for Driving Behavior Prediction
ShenZC25/Autopilot-Notes
自动驾驶笔记，以解析各模块知识点、整合行业优秀解决方案进行阐述，以帮助自己及有需要的读者；包含深度学习、deeplearning、无人驾驶、BEV、Transformer、ADAS、CVPR、特斯拉AI DAY、大模型、chatgpt等内容。由于水平有限，文中不妥之处恳请广大读者批评指正。如有合作意向，请联系 931531133@qq.com
ShenZC25/AV-Nash-Q-Learning
Implementation of Nash Q-Learning for Autonomous Vehicle Decision Making
ShenZC25/BehaviorMetrics
Autonomous driving neural network comparison tool
ShenZC25/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.
ShenZC25/Birds-eye-view-Perception
[IEEE T-PAMI] Awesome BEV perception research and cookbook for all level audience in autonomous diriving
ShenZC25/CurvesGenerator
Common used curves for motion planning.
ShenZC25/Deep-QLearning-Agent-for-Traffic-Signal-Control
A framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.
ShenZC25/driver-dojo
A benchmark towards generalizable reinforcement learning for autonomous driving.
ShenZC25/Driving-IRL-NGSIM
[T-ITS] Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning
ShenZC25/GameFormer
[ICCV 2023 Oral] Game-theoretic modeling and learning of Transformer-based interactive prediction and planning
ShenZC25/GameFormer-Planner
[ICCV 2023 & CVPR Workshop] Learning-enabled Interactive Prediction and Planning Framework for Autonomous Vehicles
ShenZC25/IntersectionControl
An environment-agnostic framework for comparing intersection control algorithms
ShenZC25/JaxMARL
Multi-Agent Reinforcement Learning with JAX
ShenZC25/End-to-end-Autonomous-Driving
All you need for End-to-end Autonomous Driving
ShenZC25/llama
Inference code for LLaMA models
ShenZC25/MotionPlanning
Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)
ShenZC25/MPCC
Model Predictive Contouring Controller (MPCC) for Autonomous Racing
ShenZC25/Multi-agent-RL-traffic-light-control
Decentralized reinforcement learning for city-scale traffic light control
ShenZC25/Multi_Agent_Intersection
ShenZC25/OccNet
[ICCV 2023] OccNet: Scene as Occupancy
ShenZC25/OccNet-Course
国内首个占据栅格网络全栈课程《从BEV到Occupancy Network，算法原理与工程实践》，包含端侧部署。Surrounding Semantic Occupancy Perception Course for Autonomous Driving (docs, ppt and source code) 课程主页：http://111.229.117.200:7001/
ShenZC25/occupancy_networks
This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"
ShenZC25/OpenCDA
A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.
ShenZC25/PathPlanning
Common used path planning algorithms with animations.
ShenZC25/Predictive-Decision
[ITSC 2023] Predictive Decision-making Framework with Interaction-aware Motion Forecasting Model
ShenZC25/SMARTS
Scalable Multi-Agent RL Training School for Autonomous Driving
ShenZC25/Sparse4D
ShenZC25/sumo-rl
Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.
ShenZC25/waymax
A JAX-based simulator for autonomous driving research.