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Vision applications in the vehicular technology field can take big advantages by electronic stabilization of video sequences since it reduces calibration based feature measurement and tracking errors. In this paper a new video stabilization system expressly designed for automotive applications is presented. Image correction is fast and can be included in real time applications. The system has been implemented on one of the vehicles in use at the Department of Information Technology of the University of Parma and tested in a wide range of cases. A test using a vision based pedestrian detector is presented as case study showing promising improvements in detection rate.
Broggi et al. (Sat,) studied this question.
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