Summary: | 碩士 === 國立臺灣大學 === 資訊工程學研究所 === 107 === With the advanced development of LED and communication technology, visible light communication (VLC) has gained more and more attention in recent decades. Relying on lighting system for transmission, it takes advantage of the integral facilities in buildings, and thus becomes a solution for accurate indoor positioning.
Several indoor visible light positioning (VLP) methods have been proposed in recent studies, which can be categorized into self-positioning system and marker-based positioning system. Self-positioning system needs light sensing devices for target objects to receive light signal, therefore power is an inevitable problem. A marker-based positioning system relies on camera to capture image of fiducial marker attached to specific location or objects.
High computational requirement for image processing cannot be avoided.
In this thesis, we propose a VLP system that relies on the novel design of passive visible light marker to keep objects battery-less, and a single pixel light sensor to detect reflected light of markers, not only minimizes the computational power and facility, we can also avoid reconstructing the image of the environment for privacy-concerned applications. We leverage compressive sensing to support fast detection, followed by edge detection for high accuracy localization. And finally the marker scanning and identity decoding process. Our experiments show that the localization error is within 0.7 cm, and identity decoding accuracy can achieve higher than 95%.
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