Automotive radar systems offer the capability to measure very accurately target range, relative velocity, and azimuth angle of all objects inside the observation area. For future automotive applications like pedestrian safety systems, collision warning, turning-off and lane-changing assistance it will be necessary to have more detailed information about the target type. Therefore, a target classification technique, which is purely based on the range profile measured by a near-distance radar sensor, is presented in this paper.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Target classification based on near-distance radar sensors


    Contributors:
    Kruse, F. (author) / Folster, F. (author) / Ahrholdt, M. (author) / Rohling, H. (author) / Meinecke, M.-M. (author) / To, T.-B. (author)


    Publication date :

    2004-01-01


    Size :

    801059 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    14.30 Target Classification based on Near-Distance Radar Sensors

    Kruse, F. / Folster, F. / Ahrholdt, M. et al. | British Library Conference Proceedings | 2004




    Radar-based near distance device for precrash sensing

    Kunert, M. / Kippelt, U. / VDI; Gesellschaft Fahrzeug- und Verkehrstechnik | British Library Conference Proceedings | 1999


    Distance Measurement Using Near Infrared Sensors

    Rix, Bernold / Nebeling, Andreas / Raab, Tycho | Springer Verlag | 2015