stanley-controller

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.

Autonomous Vehicle modelling using MATLAB and Simulink

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.

This over-engineered game is my attempt to brush up on vehicle dynamics and path tracking algorithms by coding them from scratch. The game conceals an underlying framework of tunable path tracking controllers (Pure-Pursuit, Stanley, Kinematic/Dynamic LQR), customizable vehicle dynamics models, spline-based path generation, etc.

f1 tenth in ROS2 foxy

stanley controller in c++

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.

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

Interactive Autonomous Navigation Research Lab for UGVs featuring localization, path planning, DWA, MPC, Adaptive MPC, reinforcement learning hooks, safety supervision, live visualization, benchmarking, replay, and automated report generation.