Advanced Sensors and Sensing Technologies for Indoor Localization

Angelis, Alessio De; Santoni, Francesco

doi:10.3390/app12083786

Applied Sciences

2022

DOI: 10.3390/app12083786

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Advanced Sensors and Sensing Technologies for Indoor Localization

Alessio De Angelis

Francesco Santoni

Abstract: Accurate information concerning the position of users, devices, mobile robots, orsystems is crucial for the safe and efficient operation of applications in the industrial, commercial,and consumer fields [...]

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2023

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Koeferl,

Zuerl,

Jami

et al. 2023

Edition Museum

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The analysis of the success of any exhibition depends on the visitor experience. The data required for analysis is usually painstakingly collected by hand. We propose a large-scale optical tracking pipeline to estimate visitor data such as visit trajectory, duration, and, potentially, other personal parameters like age, weight, and sex, yet remain ethically acceptable by obtaining visitor consent. We further show, in preliminary results, that the edge device has a localization error of 0.64 meters and an average precision of 0.2. With this work-in-progress, we intend to ensure a viable alternative to current data collection processes in museum research.Abstract

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Koeferl,

Zuerl,

Jami

et al. 2023

Edition Museum

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show abstract

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Advanced Sensors and Sensing Technologies for Indoor Localization

Abstract: Accurate information concerning the position of users, devices, mobile robots, orsystems is crucial for the safe and efficient operation of applications in the industrial, commercial,and consumer fields [...]

Cited by 1 publication

References 6 publications

Tracking the Visitor

Tracking the Visitor

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