stanley-controller

Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)

Implementation of path tracking with a dynamic bicycle model

A virtual simulation platform for autonomous vehicle sensing, mapping, control and behaviour methods using ROS 2 and Gazebo.

Lane Keeping Assist function by applying Stanley method for lateral control and PID controller for longitudinal control using Python on the Carla simulator. 🚗

Autonomous Vehicle modelling using MATLAB and Simulink

Development of a virtual simulation platform for autonomous vehicle sensing, mapping, control and behaviour methods using ROS and Gazebo.

A complete Python abstraction of Stanford's lateral Stanley Controller.

Autonomous Vehicle Projects using the CARLA simulation environment

This project aims to develop a vehicle controller to control the vehicle in CARLA simulator to follow a race track by navigating through preset waypoints.

This repository contains the final project work for Autonomous Driving Technologies class. Robust lane detection, Stanley control for steering, UDP communication between 2 systems, and traffic sign detectors form an autonomous navigation system.

Development of a virtual simulation platform for autonomous vehicle sensing, mapping, control and behaviour methods using ROS and Gazebo.

This is a simulation of an autonomous car using CARLA software as part of the final project of the course Introduction to Self driving cars by University of Toronto provided by Coursera