  In the landscape of technological innovation, autonomous racing is a dynamic
and challenging domain that not only pushes the limits of technology, but also
plays a crucial role in advancing and fostering a greater acceptance of
autonomous systems. This paper thoroughly explores challenges and advances in
autonomous racing vehicle design and performance, focusing on Roborace and the
Indy Autonomous Challenge (IAC). This review provides a detailed analysis of
sensor setups, architectural nuances, and test 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, emphasizing developmental trajectories and sensor
adaptations. By reviewing these platforms, the analysis provides valuable
insight into autonomous driving racing, contributing to a broader understanding
of sensor architectures and the challenges faced. This review supports future
advances in full-scale autonomous racing technology.
