Book Chapter

Route adaptive selection of salient features

S Winter

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Published : 2003

Abstract

Human communication on wayfinding makes extensive use of landmarks. With a formal model of salience, route planning services can include landmarks as well. Such a model was presented considering visual, semantic, and structural properties of spatial features. This model measures saliency independent from a given route. Our hypothesis is that an additional factor is cognitively relevant for the selection of appropriate salient features: advance visibility for a person approaching a destination point We will propose a computational measure for advance visibility. The new measure is used to identify suited salient features at route decision points: a feature is suited for a wayfinding instructi..

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University of Melbourne Researchers