Pilot Testing a Model-Independent Indoor Augmented Reality Wayfinding Assistant for Grocery Store Applications
Publication: Construction Research Congress 2024
ABSTRACT
Augmented Reality (AR)-enabled wayfinding applications have been widely implemented in complex building environments. These applications require a precise building information model of the service area and, therefore, are not applicable to the majority of existing buildings in the US, such as grocery stores. This paper presents an AR-enabled indoor wayfinding assistant app that visualizes the locations of typical destinations in building environments. Instead of building models, the app utilized data on relative spatial relationships that nonprofessionals can collect with minimal training and easily accessible tools. Therefore, spatial maps of different building environments can be developed with a crowdsourcing approach, and standardized data will be maintained in a cloud database. The feasibility of the data collection method and AR app was validated by a case study conducted in a grocery store. This paper contributes to the body of knowledge by replacing models with relative spatial relationships in indoor AR wayfinding apps. The app enables economical indoor wayfinding solutions for existing buildings that do not have accessible and up-to-date models.
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Information & Authors
Information
Published In
Construction Research Congress 2024
Pages: 1048 - 1056
History
Published online: Mar 18, 2024
ASCE Technical Topics:
- Analysis (by type)
- Architectural engineering
- Building information modeling
- Building management
- Buildings
- Computer models
- Data collection
- Engineering fundamentals
- Existing buildings
- Methodology (by type)
- Models (by type)
- Research methods (by type)
- Simulation models
- Spatial analysis
- Spatial data
- Structural engineering
- Structures (by type)
Authors
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