Modern vehicles use surround sensors to measure their local environment. The information are processed and forwarded to intelligent pre-crash or automation functions enhancing vehicle safety or enabling automated driving. False or inaccurate measurements can lead to fatal consequences for humans and vehicles. High accuracy and robust environment perception in all driving situations, including high dynamic driving situations e.g. skidding, are compulsory requirements for these systems. Therefore, automotive surround sensors must be tested in various driving situations. This paper presents a new, non-destructive and reproducible test methodology for testing surround sensors in high dynamic driving situations. Therefore, the vehicle's motion during a skid driving situation was mathematically described. The test methodology was validated through experiments carried out with a real test vehicle. Finally, the experimental setup and the results are presented and discussed.


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    Title :

    Test Methodology for Automotive Surround Sensors in Dynamic Driving Situations


    Contributors:


    Publication date :

    2017-06-01


    Size :

    325242 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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