Autonomous Racing ( MACHATHON-4.0 )

Overview

MACHATHON 4.0 is a competition where teams compete to develop an autonomous software for a predesigned tenth scale vehicle.

The software's objective is to make the vehicle autonomously race and finish on previously unknown track while avoid crashing and minimizing the lab time.

This repo demonstrates our solution to this problem, Team Speeder Than Speed.

Built With

Approaches [Classical]

Detecting Area of interest

Car Control

Machathon Results

Solution Demo

How to run

Simulation Phase

1. Follow the instructions in the simulation repo to run the simulation environment.
2. Clone this repo.
3. Run the simulation agent by running the following command:

python3 simulation_agent.py

Real Car Phase

The communication between the car and the computer is done using ROS. To find more about the competition's car, check this repo

Our solution is implemented as a ROS node that subscribes to the camera topic and publishes the car's control commands. you can find the node in the competition_agent.py

Champions

Mohamed Khaled

Yahia Zakaria

Yousef Gamal

Nouran Muhammad

Hala Hamdy

Passant Abdelgalil