Journal ArticleDOI
Location Fingerprinting With Bluetooth Low Energy Beacons
Ramsey Faragher,Robert Harle +1 more
TLDR
This work provides a detailed study of BLE fingerprinting using 19 beacons distributed around a ~600 m2 testbed to position a consumer device, and investigates the choice of key parameters in a BLE positioning system, including beacon density, transmit power, and transmit frequency.Abstract:
The complexity of indoor radio propagation has resulted in location-awareness being derived from empirical fingerprinting techniques, where positioning is performed via a previously-constructed radio map, usually of WiFi signals. The recent introduction of the Bluetooth Low Energy (BLE) radio protocol provides new opportunities for indoor location. It supports portable battery-powered beacons that can be easily distributed at low cost, giving it distinct advantages over WiFi. However, its differing use of the radio band brings new challenges too. In this work, we provide a detailed study of BLE fingerprinting using 19 beacons distributed around a $\sim\! 600\ \mbox{m}^2$ testbed to position a consumer device. We demonstrate the high susceptibility of BLE to fast fading, show how to mitigate this, and quantify the true power cost of continuous BLE scanning. We further investigate the choice of key parameters in a BLE positioning system, including beacon density, transmit power, and transmit frequency. We also provide quantitative comparison with WiFi fingerprinting. Our results show advantages to the use of BLE beacons for positioning. For one-shot (push-to-fix) positioning we achieve $30\ \mbox{m}^2$ ), compared to $100\ \mbox{m}^2$ ) and < 8.5 m for an established WiFi network in the same area.read more
Citations
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Journal ArticleDOI
A Kernel Method to Nonlinear Location Estimation With RSS-Based Fingerprint
TL;DR: The experimental results based on large-scale data collected in a complex building indicate a substantial performance gain of the proposed approach in comparison to state-of-the-art methods.
Proceedings ArticleDOI
Improved commissioning in indoor wireless networks through sensor fusion using clustering
TL;DR: This paper investigates how sensor data can use sensor data to create a “signature” for a room by conducting a measurement campaign using a sensor fusion platform and demonstrates how settings are pushed towards devices automatically based on their location and how the required effort can be reduced by automation.
Journal ArticleDOI
Image-Based Camera Localization Algorithm for Smartphone Cameras Based on Reference Objects
Fazliddin Jabborov,Jinsoo Cho +1 more
TL;DR: A novel approach is proposed to address the problem of determining camera localization using panoramic image sequences using the scale invariant future transform for detecting corresponding points, and based on these points, a reference object is considered.
Journal ArticleDOI
A Novel Passive Tracking Scheme Exploiting Geometric and Intercept Theorems.
TL;DR: This paper reviews existing GT-based tracking schemes, and proposes a novel passive tracking scheme by exploiting the Intercept Theorem, which can provide generally finer tracking accuracy under even lower node density and noisier topologies, in comparison to other schemes.
Wi-Fi network-based indoor localisation: The case of the TU Delft campus
TL;DR: This research focuses on the development of a non-intrusive network-based indoor positioning system using Wi-Fi that functions without active user participation and provides for a highly maintenance-free system with minimal manual set-up required.
References
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