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arXiv · 2506.07348

UruBots Autonomous Cars Challenge Pro Team Description Paper for FIRA 2025

Pablo Moraes·Mónica Rodríguez·Sebastian Barcelona·Angel Da Silva·Santiago Fernandez·Hiago Sodre·Igor Nunes·Bruna Guterres·Ricardo Grando
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Abstract

This paper describes the development of an autonomous car by the UruBots team for the 2025 FIRA Autonomous Cars Challenge (Pro). The project involves constructing a compact electric vehicle, approximately the size of an RC car, capable of autonomous navigation through different tracks. The design incorporates mechanical and electronic components and machine learning algorithms that enable the vehicle to make real-time navigation decisions based on visual input from a camera. We use deep learning models to process camera images and control vehicle movements. Using a dataset of over ten thousand images, we trained a Convolutional Neural Network (CNN) to drive the vehicle effectively, through two outputs, steering and throttle. The car completed the track in under 30 seconds, achieving a pace of approximately 0.4 meters per second while avoiding obstacles.

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Pablo Moraes, Mónica Rodríguez, Sebastian Barcelona, Angel Da Silva, Santiago Fernandez, Hiago Sodre, Igor Nunes, Bruna Guterres, Ricardo Grando. 2025-06-09. UruBots Autonomous Cars Challenge Pro Team Description Paper for FIRA 2025. https://arxiv.org/abs/2506.07348

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