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This paper presents a computational model for landmarks acquisition in vehicle’s positioning. Considering the machine vision, visual attention mechanism of biology, feature-integration theory and the demand of navigation, the computational model is divided into two part: pre-attention state and attention state, and the detailed process includes extraction of feature points, generation of local saliency...
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