Location Based Services

LBS: Navigation Systems - I

3510.3 - A Landmark-based Attractiveness Strength Grid Model for Indoor Wayfinding

Monday, July 3
2:10 PM - 2:30 PM
Location: Coolidge

Indoor wayfinding has captured the attention of location-based services researchers due to differences in the features of orientation and location between indoor and outdoor spaces. The recognition of indoor landmarks serves a vital role for pedestrian navigation to destinations. To provide better indoor path planning and path guidance, this paper proposes a landmark-based Attractiveness Strength Grid (ASG) model that caters to a wide spectrum of individualized wayfinding services. By adapting techniques for the measurement of salience from outdoor landmarks, indoor landmarks can be measured using a series of quantitative characteristics that are grouped into three aspects: visual aspects, semantic aspects and structural aspects. In the ASG model, each grid cell that is embedded with these salient characteristics can be oriented to surrounding landmarks to ensure the use of the ASG model to plan various paths, such as the most reliable path, the path with the most identifiable landmarks or specific patrol paths for individuals. Using a large shopping mall as a test site, the model is validated by two scenarios that illustrate the diverse applications of the ASG model in the field of indoor wayfinding.

Kai Mao

Wuhan University

MAO Kai, male, PhD Candidate of Geographic Information Science, Wuhan university. Main research fields: Location-based Service, Spatio-temporal data mining.


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Lin Li

Wuhan University

Lin Li received the Ph.D. degree in Photogrammetry and Remote Sensing from Wuhan Technical University of Surveying and Mapping, in 1997. From July, 1998 to March, 2002, he was a guest research and guest associate professor with the University of Tokyo, Japan. He is now a professor and the director of Department of Geographic Information Science, School of Resource and Environmental Sciences, Wuhan University, China.
His research interest includes 3D data modeling and cadastre, geo-ontology, cartographic modeling, applications of ZY-3 image data, and mobile geo-information service.


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Georg Gartner

Full Professor, Head of Research Group Cartography
Vienna University of Technology

Georg Gartner is full professor and head of the research group cartography at the department for geoinformation and geodesy at the Vienna University of Technology. He is past president of the ICA and editor of the book series "Lecture Notes on Geoinformation and Cartography" as well as editor-in-chief of the "Journal on Location-based Services".


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3510.3 - A Landmark-based Attractiveness Strength Grid Model for Indoor Wayfinding

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