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Indoor precise localization with RTLS systems

Lorenzo Grottesi

Indoor precise localization with RTLS systems.

Rel. Claudio Passerone. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2021

Abstract:

In the last decades, the presence of locating systems has become increasingly established in several applications. This technology is indeed highly coupled in the usual day-life of the people. Just think about the Google maps system or packet tracking service provided by the shipping companies. So, an important requirement asked to many recent systems is the ability to locate, the person or the item using that specific technology. This feature has reached impressive improvement for the outdoor environments in the last decades. The solution adopted for these purposes is the Global Positioning System (GPS), which is a very reliable technology but, on the other hand, is not suitable for indoor applications. The GPS can indeed perform tracking with an accuracy of some meters, which is not enough in close environments where higher precision is required. Furthermore, GPS can locate items only inside a bi-dimensional plan but many applications require tri-dimensional tracking. In this thesis, some solutions for indoor applications will be presented. These solutions have an accuracy of some centimeters and can be extended to perform both bi-dimensional and tri-dimensional tracking. Furthermore, the indoor precise localization usually presents real-time requirements; these kinds of systems are named Real-Time Locating System, or RTLS. In particular, the thesis focuses on two RTLS systems: The Decawave RTLS and the Corridor RTLS.

Relatori: Claudio Passerone
Anno accademico: 2021/22
Tipo di pubblicazione: Elettronica
Numero di pagine: 68
Informazioni aggiuntive: Tesi secretata. Fulltext non presente
Soggetti:
Corso di laurea: Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering)
Classe di laurea: Nuovo ordinamento > Laurea magistrale > LM-32 - INGEGNERIA INFORMATICA
Aziende collaboratrici: SANTER Reply S.p.a.
URI: http://webthesis.biblio.polito.it/id/eprint/20510
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