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Pregled bibliografske jedinice broj: 1089548

Indoor Localization Based on Infrared Angle of Arrival Sensor Network


Arbula, Damir; Ljubić, Sandi
Indoor Localization Based on Infrared Angle of Arrival Sensor Network // Sensors, 20 (2020), 21; 6278, 32 doi:10.3390/s20216278 (međunarodna recenzija, članak, znanstveni)


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Naslov
Indoor Localization Based on Infrared Angle of Arrival Sensor Network
(Indoor Localization Based on Infrared Angle of Arrival Sensor Network)

Autori
Arbula, Damir ; Ljubić, Sandi

Izvornik
Sensors (1424-8220) 20 (2020), 21; 6278, 32

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
infrared sensor ; angle of arrival ; indoor localization ; wireless sensor networks ; navigation

Sažetak
Accurate, inexpensive, and reliable real-time indoor localization holds the key to the full potential of the context-aware applications and location-based Internet of Things (IoT) services. State-of-the-art indoor localization systems are coping with the complex non-line-of-sight (NLOS) signal propagation which hinders the use of proven multiangulation and multilateration methods, as well as with prohibitive installation costs, computational demands, and energy requirements. In this paper, we present a novel sensor utilizing low-range infrared (IR) signal in the line-of- sight (LOS) context providing high precision angle-of-arrival (AoA) estimation. The proposed sensor is used in the pragmatic solution to the localization problem that avoids NLOS propagation issues by exploiting the powerful concept of the wireless sensor network (WSN). To demonstrate the proposed solution, we applied it in the challenging context of the supermarket cart navigation. In this specific use case, a proof-of-concept navigation system was implemented with the following components: IR-AoA sensor prototype and the corresponding WSN used for cart localization, server- side application programming interface (API), and client application suite consisting of smartphone and smartwatch applications. The localization performance of the proposed solution was assessed in, altogether, four evaluation procedures, including both empirical and simulation settings. The evaluation outcomes are ranging from centimeter-level accuracy achieved in static-1D context up to 1 m mean localization error obtained for a mobile cart moving at 140 cm/s in a 2D setup. These results show that, for the supermarket context, appropriate localization accuracy can be achieved, along with the real-time navigation support, using readily available IR technology with inexpensive hardware components.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Ustanove:
Tehnički fakultet, Rijeka

Profili:

Avatar Url Sandi Ljubić (autor)

Avatar Url Damir Arbula (autor)

Citiraj ovu publikaciju

Arbula, Damir; Ljubić, Sandi
Indoor Localization Based on Infrared Angle of Arrival Sensor Network // Sensors, 20 (2020), 21; 6278, 32 doi:10.3390/s20216278 (međunarodna recenzija, članak, znanstveni)
Arbula, D. & Ljubić, S. (2020) Indoor Localization Based on Infrared Angle of Arrival Sensor Network. Sensors, 20 (21), 6278, 32 doi:10.3390/s20216278.
@article{article, year = {2020}, pages = {32}, DOI = {10.3390/s20216278}, chapter = {6278}, keywords = {infrared sensor, angle of arrival, indoor localization, wireless sensor networks, navigation}, journal = {Sensors}, doi = {10.3390/s20216278}, volume = {20}, number = {21}, issn = {1424-8220}, title = {Indoor Localization Based on Infrared Angle of Arrival Sensor Network}, keyword = {infrared sensor, angle of arrival, indoor localization, wireless sensor networks, navigation}, chapternumber = {6278} }
@article{article, year = {2020}, pages = {32}, DOI = {10.3390/s20216278}, chapter = {6278}, keywords = {infrared sensor, angle of arrival, indoor localization, wireless sensor networks, navigation}, journal = {Sensors}, doi = {10.3390/s20216278}, volume = {20}, number = {21}, issn = {1424-8220}, title = {Indoor Localization Based on Infrared Angle of Arrival Sensor Network}, keyword = {infrared sensor, angle of arrival, indoor localization, wireless sensor networks, navigation}, chapternumber = {6278} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE


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