ROOct 21, 2020

Radar detection rate comparison through a mobile robot platform at the ZalaZONE proving ground

arXiv:2010.10835v21 citations
Originality Synthesis-oriented
AI Analysis

This work addresses sensor reliability for automotive safety, but it is incremental as it focuses on a specific comparison without broader innovations.

The study compared detection rates of two automotive radars using a mobile robot platform at ZalaZONE proving ground to assess their performance in sensing objects for ADAS/AD systems.

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.

Foundations

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