  This paper presents the design and development of an intelligent subsystem
that includes a novel low-power radar sensor integrated into an autonomous
racing perception pipeline to robustly estimate the position and velocity of
dynamic obstacles. The proposed system, based on the Infineon BGT60TR13D radar,
is evaluated in a real-world scenario with scaled race cars. The paper explores
the benefits and limitations of using such a sensor subsystem and draws
conclusions based on field-collected data. The results demonstrate a tracking
error up to 0.21 +- 0.29 m in distance estimation and 0.39 +- 0.19 m/s in
velocity estimation, despite the power consumption in the range of 10s of
milliwatts. The presented system provides complementary information to other
sensors such as LiDAR and camera, and can be used in a wide range of
applications beyond autonomous racing.
