Throughout the last decade, a large number of electronic driver-assistance systems has been developed in order to improve vehicles' comfort and safety. Up to now, they more or less all rely on odometric data. However in the future, a new form of information is likely to be used: visual sensors, e.g. cameras, can provide additional knowledge on traffic and the vicinity. In this paper an inertially stabilized camera platform for the use with driver assistance systems is presented. A specially designed inertial measurement unit detects the vehicle's rotation and actively stabilizes a pivotable camera with telephoto lens. In order to cope with unknown sensor sensitivities and non-orthogonalities in the sensor mounting, an adaptive biomimetic control algorithm was implemented. The system was evaluated in test drives on motorways at vehicle velocities of up to 130-140 km/h. Camera stabilization removed nearly all detectable correlation of vehicle rotation and image motion thus meaning that the camera was close to perfectly stabilized.


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    Titel :

    Biomimetic control for adaptive camera stabilization in driver-assistance systems


    Beteiligte:


    Erscheinungsdatum :

    2006


    Format / Umfang :

    6 Seiten, 4 Bilder, 4 Quellen


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Datenträger


    Sprache :

    Englisch





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