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Trained detectors are the most popular algorithms for the detection of vehicles or pedestrians in video sequences. To speed up the processing time the trained stages build a cascade of classifiers. Thereby the classifiers become more powerful from stage to stage. The most popular classifier for real-time applications is Adaboost applied to rectangular Haar-like features. The processing time of these...
Forward Collision Warning (FCW) together with Lane Departure Warning (LDW) and Electronic Stability Control (ESC) can highly contribute to a safer traffic environment. Therefore those three systems will be supported by the US NCAP (New Car Assessment Program) until the end of 2009 and rewarded in the new active safety rating. LDW and ESC are already on the market whereas development on the first vision-based...
A car-mounted single monochrome camera-based pedestrian detection algorithm is discussed. The detection range is divided into two sub-regions, that is, the near distance range and the far distance range. Two different detection algorithms are applied in the two regions. For the near distance range, where the direction of the motion of the detected obstacle is important, a motion segmentation approach...
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