Several radar sensors have been developed for different automotive applications. The general vision of automotive radar is shown in Figure 1 to explain the general view for future sensor development steps. To guarantee and realize a 360-degree security area surrounding an individual car several smart radar sensors are needed which are implemented in the front and rear bumper for example. Each sensor covers a certain azimuth angular area inside a maximum range of 60 m. Very powerful smart radar sensors have been developed recently which can be used for this task. All present and future driver assistant systems will be based on such powerful and smart radar sensors. This security area is needed to avoid accidents. Some important safety applications are currently under investigation like stop and go, stop and roll, pre-crash, cut in situations etc. The detected objects and radar targets have an individual and different level of importance in the safety concept. It is therefore required in several street applications to distinguish between different object classes and to identify the observed targets. It would be a big step forward if the radar sensor is able to distinguish between cars and pedestrians. Then, a safety ring and a safety procedure can be established to avoid many accidents, where pedestrians are involved in. A target classification system is described in this paper, which has been tested successfully in real radar environment.


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    Title :

    Target classification with a narrowband 24 GHz radar system


    Additional title:

    Ziel/Gegenstanderkennung mit Hilfe eines schmalbandigen 24 GHz-Radarsystems


    Contributors:


    Publication date :

    2004


    Size :

    5 Seiten, 9 Bilder, 1 Tabelle, 5 Quellen


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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