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

Fischer, Georg; Bordoy, Joan; Schott, Dominik Jan; Xiong, Wenxin; Gabbrielli, Andrea; Höflinger, Fabian; Fischer, Kai; Schindelhauer, Christian; Rupitsch, Stefan J.

doi:10.1109/jsen.2022.3148529

Cited by 31 publications

(6 citation statements)

References 50 publications

(49 reference statements)

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“…Indoor localization has been extensively studied for decades. Scholars have adopted various signals to develop related works, including ultra-wideband (UWB) [ 11 , 12 , 13 ], WIFI [ 14 , 15 , 16 ], Radio Frequency Identification (RFID) [ 17 , 18 ], Bluetooth [ 19 , 20 ], Geomagnetic sequence [ 21 , 22 ] and Ultrasonic signals [ 3 , 23 ]. Despite the accuracy in special trial sites, they have a few practical limitations that hinder their wide deployment.…”

Section: Related Workmentioning

confidence: 99%

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A Low-Cost and Efficient Indoor Fusion Localization Method

Yan

Deng

et al. 2022

Sensors

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Accurate indoor location information has considerable social and economic value in applications, such as pedestrian heatmapping and indoor navigation. Ultrasonic-based approaches have received significant attention mainly since they have advantages in terms of positioning with temporal correlation. However, it is a great challenge to gain accurate indoor localization due to complex indoor environments such as non-uniform indoor facilities. To address this problem, we propose a fusion localization method in the indoor environment that integrates the localization information of inertial sensors and acoustic signals. Meanwhile, the threshold scheme is used to eliminate outliers during the positioning process. In this paper, the estimated location is fused by the adaptive distance weight for the time difference of arrival (TDOA) estimation and improved pedestrian dead reckoning (PDR) estimation. Three experimental scenes have been developed. The experimental results demonstrate that the proposed method has higher localization accuracy in determining the pedestrian location than the state-of-the-art methods. It resolves the problem of outliers in indoor acoustic signal localization and cumulative errors in inertial sensors. The proposed method achieves better performance in the trade-off between localization accuracy and low cost.

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Section: Related Workmentioning

confidence: 99%

“…Researchers have conducted a series of related works on indoor localization technologies (e.g., WIFI fingerprints [ 1 ], geomagnetic [ 2 ] and ultrasonic [ 3 ] techniques). Of all of these technologies, the ultrasonic-based localization method is calculated using geometric distance.…”

Section: Introductionmentioning

confidence: 99%

A Low-Cost and Efficient Indoor Fusion Localization Method

Yan

Deng

et al. 2022

Sensors

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“…In contrast to electromagnetic or inductive transmission, acoustic waves propagate well through liquid or solid media, independent from their electrical conductivity. Acoustic wave propagation is exploited in numerous fields, such as diagnostic and therapeutic ultrasound for medical applications [ 5 ], non-destructive testing [ 6 ], indoor localization [ 7 ], and electrical energy transfer [ 8 ]. Ultrasonic waves in the low kHz range are utilized when mechanical or electrical energy is transferred with high power levels or over long distances, as in ultrasonic cleaning baths or underwater sonar.…”

Section: Introductionmentioning

confidence: 99%

Wireless Passive Sensor Technology through Electrically Conductive Media over an Acoustic Channel

Schaechtle

Aftab

Reindl

et al. 2023

Sensors

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Hydrogen-based technologies provide a potential route to more climate-friendly mobility in the automotive and aviation industries. High-pressure tanks consisting of carbon-fiber-reinforced polymers (CFRPs) are exploited for the storage of compressed hydrogen and have to be monitored for safe and long-term operation. Since neither wired sensors nor wireless radio technology can be used inside these tanks, acoustic communication through the hull of the tank has been the subject of research in recent years. In this paper, we present for the first time a passive wireless sensor technology exploiting an ultrasonic communication channel through an electrically conductive transmission medium with an analog resonant sensor featuring a high quality factor. The instrumentation system comprised a readout unit outside and a passive sensor node inside the tank, coupled with geometrically opposing electromechanical transducers. The readout unit wirelessly excited a resonant sensor, whose temperature-dependent resonance frequency was extracted from the backscattered signal. This paper provides a description of the underlying passive sensor technology and characterizes the electric impedances and acoustic transmission as an electrical 2-Port to design a functional measurement setup. We demonstrated a wireless temperature measurement through a 10 mm CFRP plate in its full operable temperature range from −40 to 110 °C with a resolution of less than 1 mK.

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“…Researchers have explored various indoor localization techniques, such as wirelessfidelity (Wi-Fi) [2][3][4][5], Bluetooth (BT) [6,7], radio frequency identification (RFID) [8,9], ultrawideband (UWB) [10][11][12][13], ultrasound [14], and visible light [15,16] technologies. These technologies need some infrastructure facilities, and are susceptible to environmental impacts, such as multipath propagation, signal absorption and building blocking.…”

Section: Introductionmentioning

confidence: 99%

Deep Learning-Based Geomagnetic Navigation Method Integrated with Dead Reckoning

Yan,

Su,

Luo

et al. 2023

Remote Sensing

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Accurate location information has significant commercial and economic value as they are widely used in intelligent manufacturing, material localization and smart homes. Magnetic sequence-based approaches show great promise mainly due to their pervasiveness and stability. However, existing geomagnetic indoor localization methods are facing the problems of location ambiguity and feature extraction deficiency, which will lead to large localization errors. To address these issues, we propose a coarse-to-fine geomagnetic indoor localization method based on deep learning. First, a multidimensional geomagnetic feature extraction method is presented which can extract magnetic features from spatial and temporal aspects. Then, a hierarchical deep neural network model is devised to extract more accurate geomagnetic information and corresponding location clues for more accurate localization. Finally, localization is achieved through a particle filter combined with IMU localization. To evaluate the performance of the proposed methods, we carried out several experiments at three trial paths with two heterogeneous devices, Vivo X30 and Huawei Mate30. Experimental results demonstrate that the proposed algorithm can achieve more accurate localization performance than the state-of-the-art methods. Meanwhile, the proposed algorithm has low cost and good pervasiveness for different devices.

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

Cited by 31 publications

References 50 publications

A Low-Cost and Efficient Indoor Fusion Localization Method

A Low-Cost and Efficient Indoor Fusion Localization Method

Wireless Passive Sensor Technology through Electrically Conductive Media over an Acoustic Channel

Deep Learning-Based Geomagnetic Navigation Method Integrated with Dead Reckoning

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