Traffic security can be enhanced vitally by driver assistance systems based on image processing. In different applications rigid mounted cameras have already been used in vehicles. Wide-angle cameras deliver a broad field of view, but have disadvantages when precise image information is needed. To gain more image information at a higher resolution, cameras equipped with telephoto lenses can be used. However, vehicle motions can easily cause loss of the desired target, so a stabilization of the camera becomes essential. To be able to stabilize a camera with low latency, an inertial measurement unit (IMU) using MEMS sensors has been developed to measure vehicle motion. So the other crucial component is a system that is able to move the camera according to the signals gained from the IMU in order to compensate for vehicle motions. The present paper describes two different approaches to move the gaze direction of a camera that is part of an inertially stabilized camera system for driver assistance applications. A first motion device has been implemented that can move different cameras around up to three perpendicular axes. However, the advanced flexibility results in higher weight and volume. So, another miniaturized motion device has been designed that moves a mirror instead of the whole camera. The use of very small actuators allows the construction of a tiny serial mechanism that moves gaze around two perpendicular axes. Both systems are controlled by a DSP that runs the motion control algorithms. A first comparison of the quality of both systems in terms of precision has been performed. The camera motion device shows a satisfying level of precision. The mirror motion device does not yet reach the same quality due to the simple control structure. Better control algorithms and further optimizations are required to reach a precision comparable to the first camera motion device.


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    Title :

    Gaze control devices for driver assistance systems


    Contributors:


    Publication date :

    2006


    Size :

    6 Seiten, 3 Bilder, 11 Quellen


    Type of media :

    Conference paper


    Type of material :

    Storage medium


    Language :

    English




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