The enhancement of comfort and safety is of major importance in today's research on automotive applications. Since visual information and image processing can significantly improve driver assistance systems, cameras are increasingly becoming an integral part of these systems. This paper presents an inertially stabilized camera platform for target tracking. The key point is the use of biomimetic algorithms for adaptive compensation of manufacturing tolerances. Therefore low-cost components can be used which make the system affordable in a wide range of vehicles. Initial road trials have shown the clear advantage of a stabilized camera over conventional car fixed settings and demonstrated the usability of the proposed algorithms.


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    Title :

    Biologically inspired multi-sensor fusion for adaptive camera stabilization in driver-assistance systems


    Additional title:

    Biologisch begründete Multisensorfusion zur Stabilisierung von adaptiven Kameras in Fahrerassistenzsystemen


    Contributors:
    Günthner, W. (author) / Glasauer, S. (author) / Wagner, P. (author) / Ulbrich, H. (author)


    Publication date :

    2006


    Size :

    15 Seiten, 10 Bilder, 7 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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