Abstract
With the introduction of radars in the automotive domain, the automobile, as a product, has evolved greatly. Modern automobiles are highly advanced. Part of this advancement are the Active Safety (AS) systems and Advanced Driver Assistance Systems (ADAS). These systems work by gathering information about the vehicle's surroundings and processing them at a high speed. The main component of such systems is the automotive radar. Development of such systems poses a formidable challenge due to the complexity of the technical design and engineering involved; influenced by stringent quality assurance, reliability and safety standards. With the aim to alleviate some burden of development and improve the time-to-market, the following paper presents a strategy and a framework to analyze operational data from automotive radars. The paper illustrates the details of the approach in Hardware-in-the-loop (HIL), Software-in-the-loop (SIL) and real-world environments, while comparing with the conventional strategy. The paper enlists the advantages and disadvantages of using this approach. It also suggests methods to increase the speed of analysis.
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