Sensors and Systems for Indoor Positioning

doi:10.3390/books978-3-0365-4369-7

Download Url(s)

https://mdpi.com/books/pdfview/book/5581

Contributor(s)

Carotenuto, Riccardo (editor)

Merenda, Massimo (editor)

Iero, Demetrio (editor)

Language

English

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Abstract

This reprint is a reprint of the articles that appeared in Sensors' (MDPI) Special Issue on “Sensors and Systems for Indoor Positioning". The published original contributions focused on systems and technologies to enable indoor applications.

URI

https://directory.doabooks.org/handle/20.500.12854/84599

Keywords

acoustic diffraction; acoustic signal aberration; cross-correlation aberration; ultrasonic ranging; visible light communication; indoor positioning system; fingerprint positioning; weighted K-nearest neighbor; distance metric; ultrasonic transducers; time of flight estimation; pulse-echo technique; ferroelectric films; piezopolymer; infrared sensor; angle of arrival; indoor localization; wireless sensor networks; navigation; reinforcement learning; 3D indoor positioning; visible light positioning; Wi-Fi positioning; location fingerprinting; RSSI-based positioning; probabilistic approach; information service; book tracking; fingerprint-based indoor positioning; clustering; RSSI; CNN; presence detection; passive localization; room impulse response; acoustic localization; frequency dependent attenuation; ultrasonic signal; cyber-physical system; Industry 4.0; internet-of-reader; IREAD 4.0; radio frequency identification; RFID classification method; smart gate; smart forklift; smart warehouse; extended Kalman filter; localization; time of arrival; carrier phase; ambiguity resolution; n/a