Estimating the shape of vehicles is crucial for radar-based advanced driver assistance and safety systems. However, conventional radar processing is unable to resolve the different parts of a vehicle as required for this task. To address this issue a two-stage approach is considered which employs high-resolution techniques in combination with conventional Fourier-based methods. Single- and two-dimensional high-resolution estimation is discussed, which includes range and range-rate estimation in the temporal dimensions of the radar data. A novel technique referred to as cell interpolation is proposed, which can employ range and range-rate estimates in combination with Fourier-domain data for direction-of-arrival estimation. Two-stage processing has been implemented in the case of two-dimensional high-resolution estimation using the spectral RELAX algorithm and experimental results are shown.


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    Title :

    Target Shape Estimation Using an Automotive Radar


    Contributors:

    Published in:

    Smart Mobile In-Vehicle Systems ; Chapter : 16 ; 271-290


    Publication date :

    2013-10-30


    Size :

    20 pages




    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





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