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Road hotspots detection method is a key issue in the field of intelligent transportation research. Compared with normal hotspots caused by high traffic flow, abnormal hotspots, which are results of road accidents, perform an occurrence time random behavior and difficult to predict. In this paper, a region real-time congestion factor is constructed to realize road abnormal hotspots discovery. Based...
On-road large vehicles are always considered as potential danger, which could generate serious damage and strongly threaten road safety. Hence, large vehicle related accident forecasting becomes an important research topic in intelligence transportation area. In this paper, a large vehicle first clustering method (LVFC) is proposed to estimate the risk level of vehicle group. Composite performance...
Map application has played a more and more important role in today's autonomous drive and navigation techniques. However, most of the existing maps can only reach road-level (meter scale) accuracy, which cannot meet the needs of driving with no hands. Based on this situation, a method to generate lane-level (centimeter scale) orthophoto maps is proposed. This method utilizes a multiple onboard cameras...
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