UruBots Autonomous Car Team

UruBots is a team developing autonomous racing cars, primarily focusing on cost-effective designs and AI-driven navigation for competitions like the FIRA Autonomous Cars Race Challenge. Their research centers on convolutional neural networks (CNNs) for image processing and decision-making, training these models on datasets of track images to enable autonomous navigation. This work contributes to the broader field of autonomous vehicle research by providing practical experience and data in a controlled racing environment, advancing algorithms and hardware designs for real-world applications. The success of teams like UruBots, alongside others competing in higher-speed challenges like the Indy Autonomous Challenge, highlights the rapid progress in autonomous driving technology.