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

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

Path tracking with dynamic bicycle models

Motion Control of Self-Driving Car for Trajectory Tracking

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

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.

AV Projects with the CARLA simulator

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

MPC, iLQR, Stanley, Pure Pursuit Controllers in AWSIM using ROS2

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.

concepts + utilities + examples for prototyping/ education in mobile robotics

Integration of the perception, planning, and control subsystems of an autonomous vehicle using the Robot Operating System (ROS)

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

🧭 2D Longitudinal and Lateral Controller for CARLA simulator. Implements a PID-based throttle/brake system and a Stanley steering controller for waypoint-following autonomous vehicle navigation.