Pinned Repositories
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🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~
--SMARTS
Scalable Multi-Agent RL Training School for Autonomous Driving
-c-
自动驾驶规划控制常用算法c++代码实现
-CVPR2023
Online HD Map Construction CVPR2023
100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
A-LOAM
Advanced implementation of LOAM
A-LOAM-NOTED
Chinese annotated version of A-LOAM
algorithm-pattern
算法模板，最科学的刷题方式，最快速的刷题路径，你值得拥有~
HighwayEnv
A minimalist environment for decision-making in autonomous driving
my_carla_sim
path planning and speed planning are implemented in this project
MarinBao's Repositories
MarinBao/--SMARTS
Scalable Multi-Agent RL Training School for Autonomous Driving
MarinBao/-c-
自动驾驶规划控制常用算法c++代码实现
MarinBao/Autonomous-CARLA
This repo contains experimental code for the CARLA Simulation Environment
MarinBao/Awesome-Traffic-Agent-Trajectory-Prediction
轨迹预测总结
MarinBao/CARLA-PPO-Autonomous
MarinBao/carla-real-traffic-scenarios
carla复现NGSIM
MarinBao/carla-scenario
MarinBao/Carla_1
MarinBao/carla_garage
[ICCV'23] Hidden Biases of End-to-End Driving Models
MarinBao/Comparative-Analysis-of-Reinforcement-Learning-Models-for-Lane-Change-Decision-Making
Researched and compared DQN, Double DQN, and Dueling Double DQN for autonomous vehicle lane changing in Carla simulation. Evaluated performance and collision rates to guide model selection for safer real-world applications. Findings contribute to enhancing autonomous vehicle safety and efficiency.
MarinBao/DRL-Autonomous-Navigation-with-ROS2-and-TD3
DRL Autonomous Navigation with ROS2 Noetic and TD3
MarinBao/DRL-for-Autonomous-Driving
Deep Reinforcement Learning algorithms wrapper for CARLA simulator
MarinBao/DRLib
DRLib：A concise deep reinforcement learning library, integrating HER and PER for almost off policy RL algos.
MarinBao/ElegantRL
Massively Parallel Deep Reinforcement Learning. 🔥
MarinBao/GitHub-Chinese-Top-Charts
:cn: GitHub中文排行榜，各语言分设「软件 | 资料」榜单，精准定位中文好项目。各取所需，高效学习。
MarinBao/highenv-Safe-MARL-in-Autonomous-Driving
Safe Multi-Agent Reinforcement Learning to Make decisions in Autonomous Driving
MarinBao/HPNet
中科大——视觉组[CVPR 2024] HPNet: Dynamic Trajectory Forecasting with Historical Prediction Attention
MarinBao/intersection-carla-gym
Intersection Gym environment in CARLA Town 3
MarinBao/iPLAN
iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning
MarinBao/JLUThesis2020
吉林大学硕博学位论文 LaTeX 模板——jluthesis2020
MarinBao/openpilot
openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for 250+ supported car makes and models.
MarinBao/Risk-aware-contingency-planning-with-multi-modal-predictions
This repository includes the source code associated with the paper "RACP: Risk-Aware Contingency Planning with Multi-Modal Predictions".
MarinBao/Risk-Aware-Transfer-RL
This project focuses on implementing a novel approach to Risk-Aware Transfer in Reinforcement Learning (RL). This project introduces a unique perspective by incorporating risk at the test level rather than during training.
MarinBao/ros-agent
This project is an AVP simulation based on Autoware and CARLA. The Autonomous Driving System is fully based on HDMap.
MarinBao/ROS1-URAP
The ROS1 Workspace for URAP project on co-simulation between ROS1, Carla, and Sumo
MarinBao/Scene-Rep-Transformer
[T-IV] Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving
MarinBao/Simple-Bird-Eye-View-for-Autonomous-Car-Driving
Project creates BEV image of the given multi sensor data from CARLA simulator.
MarinBao/SPIDER
SPIDER: Self-driving Planning and Intelligent Decision-making Engine with Reusability
MarinBao/TrajGen
(T-ITS) TrajGen: Generating Realistic and Diverse Trajectories With Reactive and Feasible Agent Behaviors for Autonomous Driving
MarinBao/VAD--
[ICCV 2023] VAD: Vectorized Scene Representation for Efficient Autonomous Driving