![]() ![]() ![]() Longfei Shangguan, Zheng Yang, Alex X.Dude, where's my card?: Rfid positioning that works with multipath and non-line of sight. Localizing wifi access points using signal strength. Path loss exponent estimation for wireless sensor network localization. Enhanced calibration technique for rssi-based ranging in body area networks. Gaddi Blumrosen, Bracha Hod, Tal Anker, Danny Dolev, and Boris Rubinsky.In IEEE Global Communications Conference (GLOBECOM), pages 3335-3340, Dec 2013. A smartphone localization algorithm using rssi and inertial sensor measurement fusion. In Proceedings of the 27th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2014), Tampa, FL, USA, volume 812, page 2, 2014. #RADBEACON CARD BLUETOOTH#An analysis of the accuracy of bluetooth low energy for indoor positioning applications. Avoiding Multipath to Revive Inbuilding WiFi Localization. Souvik Sen, Jeongkeun Lee, Kyu-Han Kim, and Paul Congdon.How beacons can reshape retail marketing.Waze launches bluetooth beacons to avoid tunnel blackouts.Health media network announces partnership with gimbal, inc.How beacons will influence billions in us retail sales.Our experimental results demonstrate that LocBLE achieves an average of 1.8m and 1.2m accuracies in locating indoor and outdoor BLE beacons, respectively. We have built a prototype of LocBLE on smartphones and evaluated it on commodity proximity-enabled beacons. Finally, LocBLE improves location tracking accuracy with novel on-line calibration on a set of beacons nearby. Second, it performs sensor-fusion for location estimation by utilizing motion sensor data and RSS readings from a smartphone. First, it is adaptive to dynamic signal propagation environments by learning the environmental changes directly from the received signal strength (RSS). LocBLE has three salient features in estimating location from BLE beacon signals. In contrast to existing BLE beacon-based proximity applications that can only show coarse-grained (immediate, near, and far) distance estimation, LocBLE's fine-grained estimation can enhance human-environment interactions. We present a smartphone-based application, called LocBLE, for enabling users to estimate the location of nearby Bluetooth low energy (BLE) beacons. ![]()
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