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Road network is the important part of the urban map database, and generalization of urban road network is an important issue for city map database management. The strategy of road selection and the maintenance of spatial pattern are two major challenges in the generalization of road networks. An effective process for road network generalization is introduced in this paper. The first step is to extract...
Although vision based road detection has been extensively studied in the past decades, road detection in adverse conditions still remains challenging. In this paper, we propose a road detection approach via superpixels and an automated version of interactive image segmentation. We first segment the input road image into superpixles, and we design a novel seed selection method based on multiple novel...
Vision based road detection is a key technique in Autonomous driving and Advance Drive Assistance System. We propose an approach for vision-based road detection which exploits road shape prior, color consistence representation and discrimination analysis. Firstly, road shape prior probability map is constructed from available road images which have been annotated by matching and classifying of road...
Driver fatigue and sleep deprivation have been widely recognized as critical safety issues that cut across all modes in the transportation industry. FMCSA, the trucking industry, highway safety advocates, and transportation researchers have all identified driver fatigue as a high-priority commercial vehicle safety issue. There has been much research work done in driver fatigue detection. This paper...
Quick response to urgent relief right after natural disasters through efficient emergency logistics distribution is vital to the alleviation of disaster impact in the affected areas, which remains challenging in the field of logistics and related study areas. This paper analyzes the spatial data and the attribute data by space model and logistics models. Numerical studies with a real large-scale earthquake...
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