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  4. Multimodal Indoor Localization: Fusion Possibilities of Ultrasonic and Bluetooth Low-Energy Data
 
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2022
Journal Article
Title

Multimodal Indoor Localization: Fusion Possibilities of Ultrasonic and Bluetooth Low-Energy Data

Abstract
The resilience of indoor localization systems is a main concern of their industrial application. A combination of different techniques can enhance the overall robustness of such systems. In this work, we present fusion possibilities of coarse Bluetooth Low Energy localization based on the received signal strength indicator and the finer ultrasound time difference of arrival (TDOA) technique. This approach offers the advantage to robustify the high-accuracy ultrasonic localization in areas with non-optimal coverage. Moreover, the data fusion enables to enhance the overall localization area in a cost effective manner. This contribution proposes and evaluates (i) novel methods of how the ultrasonic system can be extended to a constrained area and (ii) a novel possibility to incorporate available Bluetooth signal strength information in the TDOA algorithm to improve accuracy.
Author(s)
Fischer, Georg
Fraunhofer-Institut für Kurzzeitdynamik Ernst-Mach-Institut EMI  
Bordoy, Joan
Schott, Dominik Jan
Xiong, Wenxin
Gabbrielli, Andrea
Höflinger, Fabian  
Fraunhofer-Institut für Kurzzeitdynamik Ernst-Mach-Institut EMI  
Fischer, Kai  
Fraunhofer-Institut für Kurzzeitdynamik Ernst-Mach-Institut EMI  
Schindelhauer, Christian
Rupitsch, Stefan Johann
Journal
IEEE Sensors Journal  
Open Access
DOI
10.1109/JSEN.2022.3148529
Additional link
Full text
Language
English
Fraunhofer-Institut für Kurzzeitdynamik Ernst-Mach-Institut EMI  
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