In this paper a new and flexible 360°-environment sensing system using short range radar sensors and active seat belt pretensioners is presented. To detect critical targets from a wide variety of closing angles, a total of only four radar sensors is used. The number of sensors can be changed, without altering the underlying sensor fusion and target detection algorithms. The challenges of pre-crash systems are presented and the multi-sensor fusion and signal processing algorithms are shown. To be able to react to highly dynamic driving maneuvers, an interacting multiple model filter (IMM) is used. A pre-crash algorithm for 360°-environment sensing is introduced. To verify the system effectiveness, a simple, yet effective, system test has been developed. Test data is gained and evaluated for different critical situations. The presented pre-crash system serves as a basis for new driver assistance and safety functions, which helps to increase overall driving safety, even in dense traffic and urban driving situations.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    360°-Environment sensing and signal processing for an automotive pre-crash application


    Contributors:


    Publication date :

    2009-11-01


    Size :

    875052 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English





    Application of radar for automotive crash avoidance

    Lichtenberg, C.L. | Tema Archive | 1987


    Application of Radar for Automotive Crash Avoidance

    Lichtenberg,C.L. / NASA,US | Automotive engineering | 1987


    Application of Radar for Automotive Crash Avoidance

    Lichtenberg, Christopher L. | SAE Technical Papers | 1987