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For automatic driving, vehicles must be able to recognize their environment and take control of the vehicle. The vehicle must perceive relevant objects, which includes other traffic participants as well as infrastructure information, assess the situation and generate appropriate actions. This work is a first step of integrating previous works on environment perception and situation analysis toward...
3D-segmentation of a traffic scene with two-dimensional row- and column-disparity-histograms, namely u/v-disparities, has become more and more popular for modern stereo-camera-based driver assistance systems due to its fast computation in real-time, few memory requirements and robustness against noisy or intermittent data. In this paper, we present a novel approach to support this pure vision-based...
Supplementary traffic signs are used to alter the meaning of other traffic signs. Assistance systems that recognize traffic signs therefore must also recognize supplementary signs to evaluate their influence on the meaning of detected traffic signs. We propose an algorithm which is able to detect supplementary signs in the vicinity of other signs using a novel rectangle segmentation algorithm. Support...
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