Abstract
Autonomous racing is a dynamic and challenging domain that not only pushes the limits of technology, but also plays a crucial role in the advancement and fostering of greater acceptance of autonomous systems. This paper thoroughly analyzes challenges and advances in the design and performance of autonomous racing vehicles, focusing on Roborace and the Indy Autonomous Challenge (IAC). This review compares sensor configurations, Artificial Intelligence (AI) techniques, architectural nuances, and performance metrics on these cutting-edge platforms. In Roborace, the evolution from Devbot 1.0 to Robocar and Devbot 2.0 is detailed, revealing insights into sensor configurations and performance outcomes. The examination extends to the IAC, which is dedicated to high-speed self-driving vehicles and emphasizes development trajectories and sensor adaptations. By reviewing these platforms, the analysis provides a valuable comparison of autonomous driving racing systems and sensor suites, contributing to a broader understanding of sensor architectures and the challenges faced.
