The development of radar signal processing algorithms for target tracking and higher-level automotive applications is mainly done based on real radar data. A data basis has to be acquired during cost-expensive and time-consuming test runs. For a comparably simple application like the adaptive cruise control (ACC), the variety of significant traffic situations can sufficiently be covered by test runs. But for more advanced applications like intersection assistance, the effort for the acquisition of a representative set of radar data will be unbearable. In this paper, we propose a way of simulating radar target lists in a realistic but computationally undemanding way, which will allow to significantly reduce the amount of real radar data needed.


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    Title :

    Simulation of Automotive Radar Target Lists using a Novel Approach of Object Representation


    Contributors:
    Buhren, M. (author) / Bin Yang, (author)


    Publication date :

    2006-01-01


    Size :

    2614870 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Simulation of Automotive Radar Target Lists Using a Novel Approach of Object Representation

    Buhren, M. / Yang, B. | British Library Conference Proceedings | 2006



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    Buhren, M. / Yang, B. | British Library Conference Proceedings | 2006


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