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In this paper, we propose a method to detect the state of the road surface condition using wavelet and SVM(Support Vector Machine) classifier. The Road surface conditions are classified into a set of pattern states such as dry, wet, snow, ice. This approach automatically analyze road surface condition change using image processing, and does not require extra sensors. Feature extraction using wavelet...
In this paper, we investigate the applicability of the newly proposed data clustering method, affinity propagation, in feature points clustering and the task of vehicle detection and tracking in road traffic surveillance. We propose a model-based temporal association scheme and novel preprocessing and postprocessing operations which together with affinity propagation make a quite successful method...
In order to extract traffic state information and provide decision support for traffic management, granular computing theory was applied in traffic information processing. Traffic information granule and its granularity were defined, and then a methodology that provides a framework of traffic management and decision-making was presented based on GrC. A method was proposed for traffic state information...
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