UruBots Autonomous Car Team Two: Team Description Paper for FIRA 2024

TL;DR

This paper presents a low-cost, lightweight autonomous car prototype using a Raspberry Pi4, trained with CNN, capable of racing a 13-meter track in 11 seconds, demonstrating feasibility for FIRA 2024.

Contribution

The paper introduces a cost-effective, lightweight autonomous vehicle with a CNN-based control system tailored for the FIRA 2024 race challenge.

Findings

Achieved 13-meter track in 11 seconds

Average speed of 1.2 m/s

Successful CNN training with 1500 samples over 60 epochs

Abstract

This paper proposes a mini autonomous car to be used by the team UruBots for the 2024 FIRA Autonomous Cars Race Challenge. The vehicle is proposed focusing on a low cost and light weight setup. Powered by a Raspberry PI4 and with a total weight of 1.15 Kilograms, we show that our vehicle manages to race a track of approximately 13 meters in 11 seconds at the best evaluation that was carried out, with an average speed of 1.2m/s in average. That performance was achieved after training a convolutional neural network with 1500 samples for a total amount of 60 epochs. Overall, we believe that our vehicle are suited to perform at the FIRA Autonomous Cars Race Challenge 2024, helping the development of the field of study and the category in the competition.