abudumao's Stars
OscarHuangWind/Safe-Human-in-the-Loop-RL
[T-ITS'24] A safety-aware human-in-the-loop Reinforcment Learning (SafeHiL-RL) approach for end-to-end autonomous driving.
decisionforce/EGPO
[CoRL 2021] Official implementation of paper "Safe Driving via Expert Guided Policy Optimization".
decisionforce/HACO
[ICLR 2022] Official implementation of paper: Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization
zilin-huang/PE-RLHF
The official code for paper "Trustworthy Human-AI Collaboration: Reinforcement Learning with Human Feedback and Physics Knowledge for Safe Autonomous Driving"
zilin-huang/HAIM-DRL
The official code for paper "Human as AI Mentor: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driving"
DCSLgatech/Advanced-Planning-Using-RL
Implements the algorithm introduced in the paper "Advanced Planning for Autonomous Vehicles using Reinforcement Learning and Deep Inverse Reinforcement Learning" published in Robotics and Autonomous Systems, Vol. 114, pp. 1-18, 2019
XanderJC/scalable-birl
Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.
marinaKollmitz/learning-nav-irl
Learning human-aware robot navigation behavior from demonstrations via Maximum Entropy Inverse Reinforcement Learning.
MCZhi/Driving-IRL-NGSIM
[T-ITS] Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning
zhm-real/MotionPlanning
Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)
EdmundLuan/CLF_CBF_NMPC_python
This is an unofficial python implement of nonlinear model predictive control with control Lyapunov functions and control barrier functions (CLF-CBF-NMPC).
frmadeira/nmpc_controller
NMPC controller for trajectory tracking and obstacle avoidance
vittoriocataffo/A-Nonlinear-Model-Predictive-Control-Strategy-for-Autonomous-Racing-of-Scale-Vehicles
A Nonlinear Model Predictive Control (NMPC)-based algorithm aimed at controlling a scale car model for autonomous racing
RovisLab/LVD-NMPC
Learning-based Vision Dynamics Nonlinear Model Predictive Control for Autonomous Vehicles
XiaojingGeorgeZhang/OBCA
Optimization-Based Collision Avoidance - a path planner for autonomous navigation
tg623623nana/Vehicle_Motion_Planning_with_Obstacles_Avoidance_using_MPC
Motion Planning for Vehicle with Static and Dynamic Obstacle Avoidance using Optimal Based Collision Avoidance (OBCA).
MPC-Berkeley/genesis_path_follower
MPC Path Follower for the Hyundai Genesis.
MPC-Berkeley/Racing-LMPC-ROS2
C++ ROS2 packages that implement learning model predictive control for real-world autonomous race cars.
ApolloAuto/apollo
An open autonomous driving platform
jianzhuozhuTHU/putn
Livox-SDK/Livox_automatic_calibration
An automatic calibration algorithm for livox LiDAR
NeXTzhao/planning
在ros_gazebo中搭建仿真环境,使用purepursuit算法对样条曲线轨迹进行了路径跟踪、使用lqr算法对生成的五次多项式轨迹进行横向路径跟踪。
Livox-SDK/livox_detection
Livox open source detection algorithm
supengufo/depth_clustering_ros
Clustering Algorithm,Point Cloud Segmentation
gyubeomim/lidar_closest_distance_detector
Calculate the closest distance to the nearest obstacle using the convex polygons of pointcloud
Hypha-ROS/hypharos_minicar
1/20 MiniCar: An ackermann based rover for MPC and Pure-Pursuit controller
larics/pure_pursuit
A ROS implementation of the pure pursuit path following algorithm.
Little-Potato-1990/localization_in_auto_driving
RobustFieldAutonomyLab/LeGO-LOAM
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
jiajunhua/gaoxiang12-slambook