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Light-weight Visible Light Positioning
Date: 2016/6/22             Browse: 728

Light-weight Visible Light Positioning

Speaker: Zhice Yang

Time: Jun 22, 3:30pm - 4:30pm.

Location: Room 306, Teaching Center


Visible Light Positioning (VLP) is an emerging positioning technique that broadcasts anchor locations through Visible Light Communication (VLC). Benefited by densely deployed indoor lamps, VLP can easily achieve sub-meter accuracy in indoor localization. Compared with Wi-Fi and other RF based approaches which normally provide accuracy in meters, VLP holds the promise of fine-grained location-based services such as retail navigation and shelf-level advertising in supermarkets and shopping malls.

VLC methods in existing VLP systems rely on intensity-based modulation, and thus they require a high pulse rate to prevent flickering. However, the high pulse rate adds an unnecessary and heavy burden to receiving devices, which limits the practical deployment of VLP systems.

In this talk, I will present a new VLP system PIXEL. Its VLC method is based the polarization-based modulation, which is flicker-free, and thus uses low pulse rate. In this way, PIXEL is light-weight enough even for resource-constrained wearable devices, e.g. smart glasses. Moreover, the polarization-based VLC can be applied to any illuminating light sources, thereby eliminating the dependency on LED. PIXEL incorporates 1) a novel color-based modulation scheme to handle user’s mobility and 2) a sensor-assisted positioning algorithm to ease user’s burden in capturing multiple VLC transmitters. PIXEL’s transmitter is implemented with commodity hardware, and its decoding software is developed on both smartphone and Google Glass. The evaluation based on the prototype shows that PIXEL can provide 10cm-level real-time VLP for wearables and smartphones.


Zhice Yang received his B. Eng. from the Department of Computer Science and Engineering, Tsinghua University in 2011. He is currently a Ph.D. candidate in Computer Science and Engineering at the Hong Kong University Science and Technology, where he is supervised by Prof. Qian Zhang and is a member of the Huawei-HKUST Innovation Lab. His research interests are in mobile computing and wireless networking, with a particular focus on building practical wireless communication systems to improve network performance and advance mobile applications. He was nominated for Best Paper award and won Best Video award in ACM MobiSys 2015.


SIST-Seminar 16041