Collaborative Indoor Positioning Systems: A Systematic Review
Ver/ Abrir
Impacto
Scholar |
Otros documentos de la autoría: Pascacio, Pavel; Casteleyn, Sven; Torres-Sospedra, Joaquín; Lohan, Elena Simona; Nurmi, Jari
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/43662
comunitat-uji-handle3:10234/43643
comunitat-uji-handle4:
INVESTIGACIONMetadatos
Título
Collaborative Indoor Positioning Systems: A Systematic ReviewAutoría
Fecha de publicación
2021Editor
MDPIISSN
1424-8220Cita bibliográfica
Pascacio, P.; Casteleyn, S.; Torres-Sospedra, J.; Lohan, E.S.; Nurmi, J. Collaborative Indoor Positioning Systems: A Systematic Review. Sensors 2021, 21, 1002. https://doi.org/10.3390/s21031002Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://www.mdpi.com/1424-8220/21/3/1002Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
Research and development in Collaborative Indoor Positioning Systems (CIPSs) is growing
steadily due to their potential to improve on the performance of their non-collaborative counterparts.
In contrast to the ... [+]
Research and development in Collaborative Indoor Positioning Systems (CIPSs) is growing
steadily due to their potential to improve on the performance of their non-collaborative counterparts.
In contrast to the outdoors scenario, where Global Navigation Satellite System is widely adopted, in
(collaborative) indoor positioning systems a large variety of technologies, techniques, and methods is
being used. Moreover, the diversity of evaluation procedures and scenarios hinders a direct comparison. This paper presents a systematic review that gives a general view of the current CIPSs. A total of
84 works, published between 2006 and 2020, have been identified. These articles were analyzed and
classified according to the described system’s architecture, infrastructure, technologies, techniques,
methods, and evaluation. The results indicate a growing interest in collaborative positioning, and
the trend tend to be towards the use of distributed architectures and infrastructure-less systems.
Moreover, the most used technologies to determine the collaborative positioning between users are
wireless communication technologies (Wi-Fi, Ultra-WideBand, and Bluetooth). The predominant collaborative positioning techniques are Received Signal Strength Indication, Fingerprinting, and Time
of Arrival/Flight, and the collaborative methods are particle filters, Belief Propagation, Extended
Kalman Filter, and Least Squares. Simulations are used as the main evaluation procedure. On the
basis of the analysis and results, several promising future research avenues and gaps in research
were identified. [-]
Publicado en
Sensors 2021, 21.Derechos de acceso
info:eu-repo/semantics/openAccess
Aparece en las colecciones
- LSI_Articles [362]
- ICC_Articles [419]
- INIT_Articles [748]
El ítem tiene asociados los siguientes ficheros de licencia:
Excepto si se señala otra cosa, la licencia del ítem se describe como: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
This article is an open access article
distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://
creativecommons.org/licenses/by/
4.0/).
Ítems relacionados
Mostrando ítems relacionados por Título, autoría o Palabra clave.
-
Assessing positive and negative experiences: validation of a new measure of well-being in an Italian population
Corno, Giulia; Molinari, Guadalupe; Baños, Rosa Maria Il Pensiero Scientifico Editore (2016)The aim of this study is to explore the psychometric properties of an affect scale, the Scale of Positive and Negative Experience (SPANE), in an Italian-speaking population. The results of this study demonstrate that the ... -
Off-Line Evaluation of Indoor Positioning Systems in Different Scenarios: The Experiences From IPIN 2020 Competition
Potortì, Francesco; Torres-Sospedra, Joaquín; Quezada Gaibor, Darwin; Jimenez Ruiz, Antonio Ramon; Seco, Fernando; Perez-Navarro, Antoni; ortiz, miguel; Zhu, Ni; Renaudin, Valerie; Ichikari, Ryosuke Institute of Electrical and Electronics Engineers (2022-03)Every year, for ten years now, the IPIN competition has aimed at evaluating real-world indoor localisation systems by testing them in a realistic environment, with realistic movement, using the EvAAL framework. The competition ... -
«Mi mejor yo»: diseño de una intervención positiva aplicada en formato grupal y apoyada en las TIC
Enrique Roig, Angel; Molinari, Guadalupe; Ginés, Llorca; Botella, Cristina Universitat Jaume I (2016)Introducción: El ejercicio «Mi mejor yo» («Best Possible Self», bPS) es una técnica de pensamiento futuro positivo, que requiere que la persona se visualice y escriba sobre un futuro en el que ha conseguido todos sus ...