The paper describes the development of light based driver assistance systems which are based on new lighting technologies together with camera sensor technology. Examples are adaptive cut-off line and glare-free high beam. Camera and image processing technology is emphasized as key technology for driver assistance and the possibilities of multi-functional cameras are shown. The Adaptive Cut-Off Line System from Hella will be the first camera and light based driver assistance system. It controls the vehicle lighting with the goal of the maximum possible range of visibility to the driver. This will be achieved with the adaptation of the low beam to oncoming and preceding traffic participants. The result is, that the low beam doesn't end at approximately 65 meters like today but increases up to a range of a couple of hundred meters in best cases . without any dazzle of other traffic participants, because the beam ends always at their vehicles. The light distribution will be generated by light electronic components and variable light projection type modules like the Hella VarioX system, presently the strongest Xenon light in the automotive market. Hella is already working on multi-function camera systems (single and stereo version) with which several functions can be combined, such as lane recognition or traffic-sign recognition and adaptive cut-off line. Further added value is created through the fusion of the data of camera systems and other vehicle sensors. Thus, Hella is pursuing concepts in order to realize an ACC stop & go system (deceleration to a standstill and moving-off initiated by the driver) with the aid of the ACC lidar sensor (lidar = light detection and ranging, based on infrared technology) and a camera.


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    Title :

    Vision systems - chances and risks


    Additional title:

    Vision Systems - Chancen und Grenzen


    Contributors:


    Publication date :

    2008


    Size :

    12 Seiten, 6 Bilder


    Type of media :

    Conference paper


    Type of material :

    Storage medium


    Language :

    English




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