purepursuit

25 path-tracking algorithms are (going to be) implemented with python.

Autonomous Vehicle modelling using MATLAB and Simulink

A library for pybrick use in the World Robot Olympiad

A framework for implementing path tracking algorithms at ROS and Pyhton. Including implementations of three methods: Pure Pursuit, MPC, and LQR.

A MATLAB and Simulink project. Includes controller design, Simscape simulation, and sensor fusion for state estimation. By: Matteo Liguori; Supervisor and Collaborator: Francesco Ciriello Professor at King's College London

pure_pursuit_planner

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

python-based examples of path following algorithms

This repository contains ROS nodes for autonomous lane following. The system processes camera images, applies a Bird's-Eye-View (BEV) transformation, and detects lane lines using a robust Sliding Window technique. A target path is then planned, and the Pure Pursuit algorithm calculates the necessary steering angle to guide the vehicle.

건국대학교 로봇동아리 돌밭 자율주행팀 프로젝트 (2024.09~2024.11)

Path/Speed planning, and High-Level Control modules for Formula Student Driverless (창작모빌리티경진대회)

This project implements a nonlinear kinematic bicycle model for vehicle motion and evaluates multiple trajectory tracking controllers, including PID, Pure Pursuit, Stanley, MPC, and Nonlinear MPC. The controllers are developed in C++ and compared in terms of tracking accuracy, stability, and control effort across different paths, and speeds.

Autonomous Robot Operations

Autonomous Rover Navigation System with EKF Localization, Occupancy Grid Mapping, Frontier Exploration, A* Path Planning, and Pure Pursuit Control