UruBots Autonomous Cars Team One Description Paper for FIRA 2024

TL;DR

This paper describes the design and development of an autonomous RC car by UruBots for the 2024 FIRA race, utilizing AI algorithms and a CNN to navigate race tracks effectively.

Contribution

Introduction of an AI-based navigation system with a custom dataset and CNN for autonomous racing in a compact electric vehicle.

Findings

Achieved promising navigation performance with a five-layer CNN.

Created a dataset with over five thousand samples for training.

Demonstrated autonomous capabilities suitable for FIRA 2024 challenge.

Abstract

This document presents the design of an autonomous car developed by the UruBots team for the 2024 FIRA Autonomous Cars Race Challenge. The project involves creating an RC-car sized electric vehicle capable of navigating race tracks with in an autonomous manner. It integrates mechanical and electronic systems alongside artificial intelligence based algorithms for the navigation and real-time decision-making. The core of our project include the utilization of an AI-based algorithm to learn information from a camera and act in the robot to perform the navigation. We show that by creating a dataset with more than five thousand samples and a five-layered CNN we managed to achieve promissing performance we our proposed hardware setup. Overall, this paper aims to demonstrate the autonomous capabilities of our car, highlighting its readiness for the 2024 FIRA challenge, helping to contribute to the field of autonomous vehicle research.