Ibeaconmap: Automated indoor space representation for beacon-based wayfinding
Cheraghi, Seyed Ali Namboodiri, Vinod Sinha, Kaushik
Cheraghi, Seyed Ali
Namboodiri, Vinod
Sinha, Kaushik
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2020-09
Type
Conference paper
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Keywords
Accessibility,Computer vision,Indoor wayfinding,Internet of things (IoT),Machine learning
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Citation
Cheraghi S.A., Namboodiri V., Sinha K. (2020) IBeaconMap: Automated Indoor Space Representation for Beacon-Based Wayfinding. In: Miesenberger K., Manduchi R., Covarrubias Rodriguez M., Peňáz P. (eds) Computers Helping People with Special Needs. ICCHP 2020. Lecture Notes in Computer Science, vol 12376. Springer, Cham
Abstract
Traditionally, there have been few options for navigational aids for the blind and visually impaired (BVI) in large indoor spaces. Some recent indoor navigation systems allow users equipped with smartphones to interact with low cost Bluetooth-based beacons deployed strategically within the indoor space of interest to navigate their surroundings. A major challenge in deploying such beacon-based navigation systems is the need to employ a time and labor-expensive beacon planning process to identify potential beacon placement locations and arrive at a topological structure representing the indoor space. This work presents a technique called IBeaconMap for creating such topological structures to use with beacon-based navigation that only needs the floor plans of the indoor spaces of interest.
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Springer
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Lecture Notes in Computer Science;v.12376
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0302-9743