  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.
