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

Autonomous Vehicle modelling using MATLAB and Simulink

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

python-based examples of path following algorithms

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

pure_pursuit_planner

건국대학교 로봇동아리 돌밭 자율주행팀 프로젝트 (2024.09~2024.11)

This repository contains a ROS node 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.

Autonomous Robot Operations

Konkuk Univ. Team K.A.I. 창작모빌리티 자작자율차 판단팀 - 경로 생성 및 차량 제어