Abstract
We explore the indoor positioning problem with unmodified smartphones and slightly-modified commercial LED luminaires. The luminaires-modified to allow rapid, on-off keying-transmit their identifiers and/or locations encoded in human-imperceptible optical pulses. A camera-equipped smartphone, using just a single image frame capture, can detect the presence of the luminaires in the image, decode their transmitted identifiers and/or locations, and determine the smartphone's location and orientation relative to the luminaires. Continuous image capture and processing enables continuous position updates. The key insights underlying this work are (i) the driver circuits of emerging LED lighting systems can be easily…
Citation impact
586
total citations
- FWCI
- 41.73
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- 100%
- References
- 31
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Authors
4Topics & keywords
Topics
Keywords
- Computer science
- Scalability
- Identifier
- Panning (audio)
- Image sensor
- Keying
- Rolling shutter
- Orientation (vector space)
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