Intelligent vehicles use surround sensors such as radar, lidar and camera to perceive their local environment. The generated information are processed by a control unit to identify critical traffic situations such as rear-end collisions and trigger reversible or irreversible safety systems. Incorrect measurements can result in accidents with fatal consequences. Therefore, high reliability and accuracy is a mandatory requirement. The performance of surround sensors depend on the ambient atmosphere and weather conditions. It is known that fog has a negative influence on wave propagation especially in the visible range. Hence, surround sensors must be tested under realistic conditions. To cope with this problem, this paper presents a novel setup together with a test methodology to investigate the influence of fog on automotive radar, lidar and camera sensors. Based on static indoor tests, we have shown that the measurements are consistent with literature and enable reproducible testing.


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    Title :

    Reproducible Fog Simulation for Testing Automotive Surround Sensors


    Contributors:


    Publication date :

    2017-06-01


    Size :

    500523 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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