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Starred repositories
基于MPC的移动机器人轨迹跟踪控制，详情见https://blog.csdn.net/a735148617/article/details/113784730
Aggressive Vehicular Collision Avoidance Maneuvering using Model Predictive Control
Dynamic obstacle avoidance using MPC
In Lab 2 in the MPC course a code framework was given from the TA. A MPC algorithm was then implemented to follow the centerline and reach the goal.
Control method for a point to safely avoid an obstacle and rejoin the reference trajectory
path_following_by_MPC（Carsim and simulink）
Motion planning and collision avoidance using MPC and strong duality
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
读书笔记《无人驾驶车辆模型预测控制》- 龚建伟
Including the simulink model and the MPC-Controller code. Carsim vesion 8.02, Matlab version 2018b.
This project is related to Zexu's Master thesis regarding trajectory planning for 4 wheel steered vehicle
A autonomous obstacle avoiding and car following project using model predictive control
MATLAB sample codes for mobile robot navigation
Python sample codes for robotics algorithms.
Udacity Self-Driving Car Engineer Nanodegree: Quintic Polynomial Solver. & Paper 'Optimal Trajectory Generation for Dynamic Street Scenarios in a Frenet Frame'
Mapless Collision Avoidance of Turtlebot3 Mobile Robot Using DDPG and Prioritized Experience Replay
This file contains code used for a full end-to-end framework for Autonomous Vehicle's lane change using Hierarchical Reinforcement Learning under Noisy Observations
To guarantee safe and efficient driving for automated vehicles in complicated traffic conditions, the motion planning module of automated vehicles are expected to generate collision-free driving po…
Coursera Open Courses from University of Toronto
Reinforcement Learning-based Mobile Robot Navigation
MPC Controller implementation in MATLAB
Design and simulation of low level lateral and longitudinal control to demonstrate path planning, following and collision avoidance for autonomous vehicle . The project also includes a stateflow fi…
This study aims to establish a feasible lane-keeping controller for a simulated autonomous vehicle by employing model predictive control (MPC) methodologies.
Trajectory Optimization-based control of autonomous vehicle following Bicycle model dynamics
Simulation of model predictive control for an autonomous vehicle
Rapidly-exploring random tree algorithm for path planning an autonomous car, with vehicle dynamics, around static obstacles.
We propose a driver modeling process of an intelligent autonomous driving policy, which is obtained through Q-learning.