Traditional and modern techniques for visible light positioning systems

Saadi, Muhammad; Bajpai, Ambar; Rodríguez, Demóstenes Zegarra

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Campo DC	Valor	Idioma
dc.creator	Saadi, Muhammad	-
dc.creator	Bajpai, Ambar	-
dc.creator	Rodríguez, Demóstenes Zegarra	-
dc.date.accessioned	2023-07-17T20:10:37Z	-
dc.date.available	2023-07-17T20:10:37Z	-
dc.date.issued	2023	-
dc.identifier.citation	SAADI, M.; BAJPAI, A.; RODRÍGUEZ, D. Z. Traditional and modern techniques for visible light positioning systems. In: APPLICATIONS of 5G and Beyond in Smart Cities. [S.l.]: CRC Press, 2023.	pt_BR
dc.identifier.isbn	9781003227861	pt_BR
dc.identifier.uri	http://repositorio.ufla.br/jspui/handle/1/58143	-
dc.identifier.uri	https://www.taylorfrancis.com/chapters/edit/10.1201/9781003227861-11/traditional-modern-techniques-visible-light-positioning-systems-muhammad-saadi-ambar-bajpai-dem%C3%B3stenes-zegarra-rodr%C3%ADguez	-
dc.description	Indoor positioning systems have recently gained a lot of attention for multiple reasons, including the modern construction trend of high-rise buildings in metropolitan cities, dominant voice and data services utilization in indoor environments, and the lack of positioning accuracy in traditional positioning techniques. In this chapter, we discuss the need for indoor localization, the hurdles to using outdoor positioning systems for indoor navigation, and the options available for indoor navigation. A detailed comparison of radio frequencies (RFs), and acoustic and visible light-based positioning systems is given. Furthermore, we discuss the traditional approaches which are adopted for indoor positioning. Artificial intelligence and machine learning approaches are penetrating and successfully yielding good results in many walks of life, and indoor positioning is no exception. Finally, we also present current artificial intelligence and machine learning-based techniques for indoor positioning.	pt_BR
dc.language	en_US	pt_BR
dc.publisher	CRC Press	pt_BR
dc.rights	restrictAccess	pt_BR
dc.title	Traditional and modern techniques for visible light positioning systems	pt_BR
dc.type	Capítulo de livro	pt_BR
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