A Semantic Graph of Traffic Scenes for Intelligent Vehicle Systems


This article presents a semantic graph representation for vision-based intelligent vehicle systems. It will represent the traffic scene with both perceptional that means of object categories and therefore the spatial relations between them. Using such graphs offers superior performance in terms of both accuracy and robustness. Furthermore, a stereovision-based mostly road boundary estimation system, designed for navigating an intelligent vehicle through difficult traffic situations, is introduced, which exemplifies the benefits of the semantic graph.

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