Model-Based Localization and Tracking Using Bluetooth Low-Energy Beacons

We introduce a high precision localization and tracking method that makes use of cheap Bluetooth low-energy (BLE) beacons only. We track the position of a moving sensor by integrating highly unreliable and noisy BLE observations streaming from multiple locations. A novel aspect of our approach is th...

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Auteurs principaux:	F. Serhan Daniş, Ali Taylan Cemgil
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2017-10-01
Collection:	Sensors
Sujets:	Bluetooth low-energy localization hidden Markov model BLE tracking observation probability estimation Wasserstein distance Wasserstein interpolation affine Wasserstein combination sequential Monte Carlo
Accès en ligne:	https://www.mdpi.com/1424-8220/17/11/2484
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