  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.
