Computational framework for reinforcement learning in traffic control

Enable your racing car with powerful, data-driven instrumentation, control, and analysis systems, all wrapped up in a gorgeous look.

iterative Linear Quadratic Regulator with constraints.

Set of templates for creating custom vehicle models using Simscape for use within Simulink.

Eclipse ADORe is a ROS based modular software library and toolkit for decision making, planning, control and simulation of automated vehicles supporting CARLA and SUMO.

A ROS driver for the AutonomouStuff PACMod drive-by-wire system.

In this project, we built ROS nodes to implement the core functionality of the autonomous vehicle system, including traffic light detection and classification, vehicle control control, and waypoint following.

PACMod Board Rev 3 Driver

A vehicle-pedestrian interaction framework for simulation.

Implementation of a Longitudinal and Lateral controller (2D) of an autonomous vehicle on Carla Simulator

code for paper: [1] M. Hu, X. Wang, Y. Bian, D. Cao, and H. Wang, “Disturbance Observer-Based Cooperative Control of Vehicle Platoons Subject to Mismatched Disturbance,” IEEE Transactions on Intelligent Vehicles, vol. 8, no. 4, pp. 2748–2758, Apr. 2023.

Projects & Notebooks of Coursera's Self-Driving Cars Specialization.

Learning Vision Based Autonomous Lateral Vehicle Control without Supervision

In this project, we implement a PID controller to steer the self driving car around the track in Udacity's Simulator.

Software for passing joystick commands to AutonomouStuff's low-level control software.

The main goal of the project is to implement in C++ Model Predictive Control to drive the vehicle around the simulator track.

An automatically driving system for Garry's Mod.

JmonkeyEngine Test Cases for Raspiberry Pi devices running RaspiOS(Raspibian OS-Debian buster) armv7l/armhf/arm32.

This is the final project in the Course 1 - Introduction to Self Driving Cars of the Self-Driving Car Specialization offered by Coursera