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sanmu-sun's Projects

adaptive-cruise-control icon adaptive-cruise-control

Design of a game theoretic adaptive cruise control algorithm using a one player dynamic game model with full information structure and a receding horizon control algorithm.

astar icon astar

ROS package of A star algorithm

autoware icon autoware

Autoware - the world's leading open-source software project for autonomous driving

cartesianplanner icon cartesianplanner

Source codes related to “Autonomous Driving on Curvy Roads without Reliance on Frenet Frame: A Cartesian-based Trajectory Planning Method” published in IEEE Trans. Intelligent Transportation Systems

dual_control_hri icon dual_control_hri

Implementation of implicit dual control-based active uncertainty learning for human-robot interaction.

epsilon icon epsilon

香港科技大学的一篇决策论文代码

fsm icon fsm

This is a simple code for high way behavior planning based on finite state machine(FSM)

highway-env icon highway-env

A minimalist environment for decision-making in autonomous driving

ipm-planner icon ipm-planner

Introduction to the paper "Efficient Speed Planning for Autonomous Driving in Dynamic Environment with Interaction Point Model"

matlab-simulink- icon matlab-simulink-

实用carsim进行仿真,simulink基于mpc进行汽车的控制,使得汽车按照给定路径点进行运行,生成视频

mdp_path_planning icon mdp_path_planning

This repository contains the MATLAB code to devise an optimal policy for the motion of the robot given the obstacles and world boundaries. This file contains implementation to a specific environment wiht known parameters and obstacles, but can easily be modified or generalized for any environment. The code was linked to the V-Rep simulation environment and tested.

mpc_ros icon mpc_ros

Nonlinear Model Predictive Control on Differential Wheeled Mobile Robot using ROS

nmpc-slungloadquad icon nmpc-slungloadquad

Online trajectory planning and control using nonlinear MPC model in MATLAB to avoid dynamic/static obstacles

oppt icon oppt

On-line POMDP Planning Toolkit

path_planning_ga_behaviour_based icon path_planning_ga_behaviour_based

Formation control and obstacle avoidance are two required features for swarm robots to reach an intended goal in an environment with obstacles. Navigation of swarm robots is done using both behavior-based approach and Evolutionary Algorithm (EA) based model.

pomdp icon pomdp

longitude planning for autonomous vehicle using POMDP and RL

stimulated-mp-under-uncertainty icon stimulated-mp-under-uncertainty

Mr.John has the right of this project,this is just a tempt to make some stimulation on autonomous vehicles motion planning.This is only for academic use.

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