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GEMA2:Geometrical matching analytical algorithm for fast mobile robots global self-localization

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GEMA2:Geometrical matching analytical algorithm for fast mobile robots global self-localization

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Sanchez Belenguer, C.; Soriano Vigueras, Á.; Vallés Miquel, M.; Vendrell Vidal, E.; Valera Fernández, Á. (2014). GEMA2:Geometrical matching analytical algorithm for fast mobile robots global self-localization. Robotics and Autonomous Systems. 62(6):855-863. doi:10.1016/j.robot.2014.01.009

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/96984

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Title: GEMA2:Geometrical matching analytical algorithm for fast mobile robots global self-localization
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica
Issued date:
Abstract:
[EN] This paper presents a new algorithm for fast mobile robot self-localization in structured indoor environments based on geometrical and analytical matching, GEMA(2). The proposed method takes advantage of the available ...[+]
Subjects: Autonomous robots , Robot's self-localization , Laser range finders , Geometrical matching , Mobile robots
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Robotics and Autonomous Systems. (issn: 0921-8890 )
DOI: 10.1016/j.robot.2014.01.009
Publisher:
Elsevier
Publisher version: http://doi.org/10.1016/j.robot.2014.01.009
Thanks:
This work has been partially funded by FEDER-CICYT projects with references DPI2011-28507-C02-01 and HAR2012-38391-C02-02 financed by Ministerio de Ciencia e Innovacion and Ministerio de Economia y Competitividad (Spain).[+]
Type: Artículo

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