![]() Second Life allows us to meet and share knowledge in a Virtual classroom setting.1 Video Games: Games can help players learn/hone strategic planning & develop the ability to lead and work well with others. Extensive experiments show that Argus triples the localization accuracy of classic RSS-based method, in time no longer than normal WiFi scanning, with negligible energy consumption.ĭoi:10.1145/2750858. Were currently in a prime example of using a Visual Game as a medium of learning. We devise techniques for photo selection, geometric constraint extraction, joint location estimation, and build a prototype that runs on commodity phones. ![]() The basic idea of Argus is to extract geometric constraints from crowdsourced photos, and to reduce fingerprint ambiguity by mapping the constraints jointly against the fingerprint space. To get over these limitations, we propose Argus, an image-assisted localization system for mobile devices. ![]() work without the help of peer users, which introduces extra costs and constraints, and thus degrades their practicality. We devise techniques for photo selection, geometric constraint extraction, joint location estimation, and build a prototype that runs on commodity phones. Though pioneer efforts have resorted to motion-assisted or peer-assisted localization, they neither work in real time nor However, those methods suffer from fingerprint ambiguity that roots in multipath fading and temporal dynamics of wireless signals. Current mainstream solutions rely on Received Signal Strength (RSS) of wireless signals as fingerprints to distinguish and infer locations. © ACM 978-1-4503-3574-4/15/09.15.00.Indoor localization is of great importance to a wide range of applications in the era of mobile computing. Extensive experiments show that Argus triples the localization accuracy of classic RSS-based method, in time no longer than normal WiFi scanning, with negligible energy consumption. To get over these limitations, we propose Argus, an image-Assisted localization system for mobile devices. Indoor Localization Smart Phone Photogrammetry ACM Classication Keywords H.3.4. tions based on technologies like RFID 30, 38, visual images 47. Though pioneer efforts have resorted to motion-Assisted or peer-Assisted localization, they neither work in real time nor work without the help of peer users, which introduces extra costs and constraints, and thus degrades their practicality. Among numerous indoor localization systems proposed during the past decades, WiFi fingerprint-based localization has been one of the most attractive solutions, which is known to be free of extra infrastructure and specialized hardware. nologies, WiFi fingerprint-based localization has become a mainstream solution. Indoor localization via multi-modal sensing on smartphones. Google Scholar Digital Library Han Xu, Zheng Yang, Zimu Zhou, Longfei Shangguan, Ke Yi, and Yunhao Liu. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ![]() Indoor localization is of great importance to a wide range of applications in the era of mobile computing. Enhancing wifi-based localization with visual clues.
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