A performance comparison between different industrial real-time indoor localization systems for mobile platforms

Rebelo, Paulo M.; Lima, José; Soares, Salviano Pinto; Oliveira, Paulo; Sobreira, Héber; Costa, Pedro

Publication

A performance comparison between different industrial real-time indoor localization systems for mobile platforms

2024Journal article

dc.contributor.author	Rebelo, Paulo M.
dc.contributor.author	Lima, José
dc.contributor.author	Soares, Salviano Pinto
dc.contributor.author	Oliveira, Paulo
dc.contributor.author	Sobreira, Héber
dc.contributor.author	Costa, Pedro
dc.date.accessioned	2024-06-25T13:20:57Z
dc.date.available	2024-06-25T13:20:57Z
dc.date.issued	2024
dc.description.abstract	The flexibility and versatility associated with autonomous mobile robots (AMR) have facilitated their integration into different types of industries and tasks. However, as the main objective of their implementation on the factory floor is to optimize processes and, consequently, the time associated with them, it is necessary to take into account the environment and congestion to which they are subjected. Localization, on the shop floor and in real time, is an important requirement to optimize the AMRs’ trajectory management, thus avoiding livelocks and deadlocks during their movements in partnership with manual forklift operators and logistic trains. Threeof the most commonly used localization techniques in indoor environments (time of flight, angle of arrival, and time difference of arrival), as well as two of the most commonly used indoor localization methods in the industry (ultra-wideband, and ultrasound), are presented and compared in this paper. Furthermore, it identifies and compares three industrial indoor localization solutions: Qorvo, Eliko Kio, and Marvelmind, implemented in an industrial mobile platform, which is the main contribution of this paper. These solutions can be applied to both AMRs and other mobile platforms, such as forklifts and logistic trains. In terms of results, the Marvelmind system, which uses an ultrasound method, was the best solution.	pt_PT
dc.description.sponsorship	This work is co-financed by Component 5-Capitalization and Business Innovation, integrated in the Resilience Dimension of the Recovery and Resilience Plan within the scope of the Recovery and Resilience Mechanism (MRR) of the European Union (EU), framed in the Next Generation EU, for the period 2021–2026, within project Produtech_R3, with reference 60.	pt_PT
dc.description.version	info:eu-repo/semantics/publishedVersion	pt_PT
dc.identifier.citation	Rebelo, Paulo M.; Lima, José; Soares, Salviano Pinto; Moura Oliveira, Paulo; Sobreira, Héber; Costa, Pedro (2024). A performance comparison between different industrial real-time indoor localization systems for mobile platforms. Sensors. ISSN 1424-8220. 24:7, p. 1-33	pt_PT
dc.identifier.doi	10.3390/s24072095	pt_PT
dc.identifier.issn	1424-8220
dc.identifier.uri	http://hdl.handle.net/10198/29932
dc.language.iso	eng	pt_PT
dc.peerreviewed	yes	pt_PT
dc.publisher	MDPI	pt_PT
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	pt_PT
dc.subject	Autonomous mobile robots	pt_PT
dc.subject	Indoor localization systems	pt_PT
dc.subject	Localization technologies	pt_PT
dc.subject	Sensors	pt_PT
dc.title	A performance comparison between different industrial real-time indoor localization systems for mobile platforms	pt_PT
dc.type	journal article
dspace.entity.type	Publication
oaire.citation.endPage	33	pt_PT
oaire.citation.issue	7	pt_PT
oaire.citation.startPage	1	pt_PT
oaire.citation.title	Sensors	pt_PT
oaire.citation.volume	24	pt_PT
person.familyName	Lima
person.givenName	José
person.identifier	R-000-8GD
person.identifier.ciencia-id	6016-C902-86A9
person.identifier.orcid	0000-0001-7902-1207
person.identifier.rid	L-3370-2014
person.identifier.scopus-author-id	55851941311
rcaap.rights	openAccess	pt_PT
rcaap.type	article	pt_PT
relation.isAuthorOfPublication	d88c2b2a-efc2-48ef-b1fd-1145475e0055
relation.isAuthorOfPublication.latestForDiscovery	d88c2b2a-efc2-48ef-b1fd-1145475e0055