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/HighwayEnv
A minimalist environment for decision-making in autonomous driving
MarinBao/my_carla_sim
path planning and speed planning are implemented in this project
MarinBao/-
🔥🔥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~
MarinBao/-CVPR2023
Online HD Map Construction CVPR2023
MarinBao/AutoCarROS2
A virtual simulation platform for autonomous vehicle sensing, mapping, control and behaviour methods using ROS 2 and Gazebo.
MarinBao/autonomous-driving-2
Ego-centric trajectory prediction of vehicle motion-含animation.py
MarinBao/Autonomous-Driving-in-Carla-using-Deep-Reinforcement-Learning
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
MarinBao/bevfusion
[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
MarinBao/CARLA-SB3-RL-Training-Environment
🚗 This repository offers a ready-to-use training and evaluation environment for conducting various experiments using Deep Reinforcement Learning (DRL) in the CARLA simulator with the help of Stable Baselines 3 library.
MarinBao/carla_dataset_tools
Tools for dataset generation based on CARLA simulator. (Data Collector)
MarinBao/catla--Planning-Control-Algorithm-Simulation-Carla
AutoDriving-Planning-Control-Algorithm-Simulation-Carla
MarinBao/CVPR2017-2023-
cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理
MarinBao/Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
MarinBao/EMplanner_Carla
carla + EMplanner
MarinBao/FuzzySystemCarla
Tactical driving of vehicule using a fuzzy system to make decision
MarinBao/Heterogeneous-Graph-RL
Official implementation of "Deep Reinforcement Learning for Autonomous Driving using High-Level Heterogeneous Graph Representations"
MarinBao/Hybrid_A_Star
Hybrid A Star algorithm C++ implementation
MarinBao/IL_RL_in_CARLA
模仿学习强化学习Applying Imitation Learning and Reinforcement Learning in Pedestrain Interaction for Autonomous Vehicles && Simulated with CARLA
MarinBao/intelligent-self-driving-car
High speed autonomous vehicle navigation and lane change in dense traffic scenario using custom SUMO gym Environment and Reinforcement Learning algorithm
MarinBao/Jerk_Bounded_Speed_Planning
Speed profile planning for autonomous vehicle in dynamic environments over a fixed path
MarinBao/macad-gym
Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:
MarinBao/Multi-agent-Path-Planning-with-Reinforcement-Learning-and-Artificial-Potential-Field
MarinBao/Optimization-based-IDMC_CARLA
This work is submitted to IROS 2023: IEEE/RSJ International Conference on Intelligent Robots and Systems
MarinBao/PythonRobotics
Python sample codes for robotics algorithms.
MarinBao/RCP_RF
potential risk model for autonomous vehicles
MarinBao/ROS1-URAP
The ROS1 Workspace for URAP project on co-simulation between ROS1, Carla, and Sumo
MarinBao/rosbag_to_csv
Converter from ros bag to csv--可用于制作数据集
MarinBao/SelfDrivingProject_MiniTesla
Build your own (Level 3) Self Driving Vehicle capable of the following features, 1) Autonomously navigate through the custom built track. 2) Obey the road speed limits.
MarinBao/STGCN_IJCAI-18
[IJCAI'18] Spatio-Temporal Graph Convolutional Networks
MarinBao/Trajectron-
Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).