  Since an automotive driving vehicle is controlled by Advanced
Driver-Assistance Systems (ADAS) / Automated Driving (AD) functions, the
selected sensors for the perception process become a key component of the
system. Therefore, the necessity of ensuring precise data is crucial. But the
correctness of the data is not the only part that has to be ensured, the
limitations of the different technologies to accurately sense the reality must
be checked for an error-free decision making according to the current scenario.
In this context, this publication presents a comparison between two different
automotive radars through our self-developed robot mobile platform called
SPIDER, and how they can detect different kinds of objects in the tests carried
out at the ZalaZONE proving ground.
