Visible Light Positioning (VLP) provides a promising means to
\nachieve indoor localization with sub-meter accuracy. We observe
\nthat the Visible Light Communication (VLC) methods in existing
\nVLP systems rely on intensity-based modulation, and thus they require
\na high pulse rate to prevent flickering. However, the high
\npulse rate adds an unnecessary and heavy burden to receiving devices.
\nTo eliminate this burden, we propose the polarization-based
\nmodulation, which is flicker-free, to enable a low pulse rate VLC.
\nIn this way, we make VLP light-weight enough even for resourceconstrained
\nwearable devices, e.g. smart glasses. Moreover, the
\npolarization-based VLC can be applied to any illuminating light
\nsources, thereby eliminating the dependency on LED.
\nThis paper presents the VLP system PIXEL, which realizes our
\nidea. In PIXEL, we develop three techniques, each of which addresses
\na design challenge: 1) a novel color-based modulation scheme
\nto handle users\u2019 mobility, 2) an adaptive downsampling algorithm
\nto tackle the uneven sampling problem of wearables\u2019 low-cost camera
\nand 3) a computational optimization method for the positioning
\nalgorithm to enable real-time processing. We implement PIXEL\u2019s
\nhardware using commodity components and develop a software
\nprogram for both smartphone and Google glass. Our experiments
\nbased on the prototype show that PIXEL can provide accurate realtime
\nVLP for wearables and smartphones with camera resolution
\nas coarse as 60 pixel 80 pixel and CPU frequency as low as
\n300MHz.<\/p>\n","protected":false},"excerpt":{"rendered":"
Visible Light Positioning (VLP) provides a promising means to achieve indoor localization with sub-meter accuracy. We observe that the Visible Light Communication (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 […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"ACM Mobisys 2015","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"ACM Mobisys 2015","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"ACM Mobisys 2015","msr_doi":"","msr_arxiv_id":"","msr_s2_paper_id":"","msr_mag_id":"","msr_pubmed_id":"","msr_other_authors":"Zeyu Wang, Zhice Yang, Chenyu Huang, Qian 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