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A classification system for vehicle rear detection in images is presented. The classification system consists of an expert system for preselecting relevant regions in an image and a subsequent machine learning classifier. Both utilize specifically designed features for the application. The latter classifier is implemented by a generalized radial basis(More)
This paper presents a probabilistic fault detection and handling algorithm (PFDH) for redundant and deterministic X-by-wire systems. The algorithm is specifically designed to guarantee safe operation of an experimental drive-by-wire vehicle used as test platform and development tool in research projects focusing on vehicle dynamics. The required flexibility(More)
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