The BLE Fingerprint Map Fast Construction Method for Indoor Localization

Ai, Haojun; Huang, Weiyi; Yang, Yuhong; Liao, Liang

doi:10.1007/978-3-030-05063-4_26

Cited by 2 publications

(2 citation statements)

References 31 publications

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“…The main RF positioning ways include ranging positioning based on the time-of-flight of signal techniques 14 and the RSS fingerprint positioning. The RSS fingerprinting is a kind of localization method using the signal strength received from RF beacons, such as WiFi access points, [15][16][17][18] Bluetooth devices, 19 and cellular telephone towers. 20 Several researchers also introduced neural networks to process the fingerprint information.…”

Section: Indoor Positioningmentioning

confidence: 99%

Error model and simulation for multisource fusion indoor positioning

Tao

et al. 2021

Int J of Intelligent Sys

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Seamless positioning services are of a critical concern in building smart cities. In a multisource fusion indoor positioning system, providing the guidance information for the deployment of positioning sources is a key technology, which can optimize the infrastructure resources to provide higher positioning accuracy. The error models of single-source positioning such as the received signal strength (RSS) fingerprint and the pedestrian dead reckoning (PDR) should be extended to meet the requirement of multisource indoor positioning for positioning error estimation. This paper proposes a model that combines the RSS fingerprint and PDR positioning error models for fusion positioning error simulation, which weights the PDR and RSS fingerprint positioning results and calculates the mean square error for the fusion positioning according to their positioning variances. This model is also used to establish an indoor positioning simulation system.To validate the proposed model, an experiment is performed which compared the actual positioning errors using the fusion positioning with the errors of the simulate model. The results show that the actual positioning error curves and the error curve predicted by the model are consistent. As a result, the proposed

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Section: Indoor Positioningmentioning

confidence: 99%

Error model and simulation for multisource fusion indoor positioning

Tao

et al. 2021

Int J of Intelligent Sys

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“…A real-life accident occurred in an air cargo cold storage in Hong Kong. An operator fell on the ground for five hours and turned out frozen to death [4] . Supervisors stayed in a remote office and failed to perceive this accident in time.…”

Section: Introductionmentioning

confidence: 99%

Internet of Everything and Digital Twin enabled Service Platform for Cold Chain Logistics

Shen

Zhao

et al. 2023

Journal of Industrial Information Integration

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The BLE Fingerprint Map Fast Construction Method for Indoor Localization

Cited by 2 publications

References 31 publications

Error model and simulation for multisource fusion indoor positioning

Error model and simulation for multisource fusion indoor positioning

Internet of Everything and Digital Twin enabled Service Platform for Cold Chain Logistics

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