Some Design Considerations in Passive Indoor Positioning Systems. [PDF]
Sensors (Basel), 2023 User location is becoming an increasingly common and important feature for a wide range of services. Smartphone owners increasingly use location-based services, as service providers add context-enhanced functionality such as car-driving routes, COVID-19 ...
Engström J +3 more
europepmc +2 more sources
Collaborative Indoor Positioning Systems: A Systematic Review [PDF]
Sensors, 2021 Research and development in Collaborative Indoor Positioning Systems (CIPSs) is growing steadily due to their potential to improve on the performance of their non-collaborative counterparts.
Pavel Pascacio +4 more
doaj +2 more sources
Offsite Evaluation of Localization Systems: Criteria, Systems, and Results From IPIN 2021 and 2022 Competitions [PDF]
IEEE Journal of Indoor and Seamless Positioning and NavigationIndoor positioning is a thriving research area, which is slowly gaining market momentum. Its applications are mostly customized, ad hoc installations; ubiquitous applications analogous to Global Navigation Satellite System for outdoors are not available ...
Francesco Potorti +66 more
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Evaluation Criteria for Inside-Out Indoor Positioning Systems Based on Machine Learning [PDF]
, 2022 S.211-218Real-time tracking allows to trace goods and enables the optimization of logistics processes in many application areas. Camera-based inside-out tracking that uses an infrastructure of fixed and known markers is costly as the markers need to be ...
Mutschler, C. +3 more
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Transfer Learning for Convolutional Indoor Positioning Systems [PDF]
, 2021 Ponencia presentada en la 2021 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 29 Nov.-2 Dec. 2021, Lloret de Mar (Spain)Fingerprinting is a widely used technique in indoor positioning, mainly due to its simplicity.
Talvitie, Jukka +11 more
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Accurate Indoor Positioning Based on Learned Absolute and Relative Models [PDF]
, 2021 To improve the accuracy of indoor positioning systems it can be useful to combine different types of sensor data. This paper describes deep learning methods both for estimating absolute positions and for performing pedestrian dead reckoning, and then how
Larsson, Martin, +4 more
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Indoor Positioning Methods Based on Dual Feet-Mounted IMUs With Distance Constraints [PDF]
, 2023 The zero velocity update (ZUPT) offers an effective correction method for the sensor drift in indoor positioning systems using foot-mounted inertial measurement units (IMUs).
Ma, Xiaofeng, Särkkä, Simo
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Towards Ubiquitous Indoor Positioning: Comparing Systems across Heterogeneous Datasets [PDF]
, 2021 Ponencia presentada en 11th International Conference on Indoor Positioning and Indoor Navigation (IPIN), 29 November - 2 December 2021, Lloret de Mar, SpainThe evaluation of Indoor Positioning Systems (IPSs) mostly relies on local deployments in the ...
Quezada Gaibor, Darwin +21 more
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Bluetooth-based Indoor Positioning through ToF and RSSI Data Fusion [PDF]
, 2018 After several decades of both market and scientific interest, indoor positioning is still a hot and not completely solved topic, fostered by the advancement of technology, pervasive market penetration of mobile devices and novel communication standards ...
Elisabetta Farella +3 more
core +3 more sources
Toward secure and usable indoor positioning [PDF]
, 2022 Zhang, RuiRecent years have witnessed growing interests from both academia and industry in developing effective Indoor Positioning Systems (IPSes).
Li, Yunzhi
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