Road-lane recognition is one of the key technologies utilized in the intelligent transport system, a sophisticated road traffic information system in Japan. In this paper, we take a general view of road-lane recognition methods that use image processing with reference to the recognition frames of capturing, conversion, classification and interpretation. While these recognition methods employ a bottom-up processing approach, we believe a top-down processing approach based on prior knowledge of the recognition target will play a more important role in the future. One of the purposes of road-lane recognition in rear-end collision avoidance system (RCAS) is to determine whether the vehicle in front is in the same lane or not. As a solution to that question, we introduce a network type fusion method, which divides a recognition process into modules connected in a network and then uses the changes of state obtained in mutual tests to determine the vehicle's position relative to the road lane.
Road lane recognition system for RCAS
01.01.1996
681427 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Road Lane Recognition System for RCAS
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