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Multi sensor fusion framework for indoor-outdoor localization of limited resource mobile robots

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Multi sensor fusion framework for indoor-outdoor localization of limited resource mobile robots

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Marín, L.; Vallés Miquel, M.; Soriano Vigueras, Á.; Valera Fernández, Á.; Albertos Pérez, P. (2013). Multi sensor fusion framework for indoor-outdoor localization of limited resource mobile robots. Sensors. 13(10):14133-14160. doi:10.3390/s131014133

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/43735

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Title: Multi sensor fusion framework for indoor-outdoor localization of limited resource mobile robots
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica
Issued date:
Abstract:
This paper presents a sensor fusion framework that improves the localization of mobile robots with limited computational resources. It employs an event based Kalman Filter to combine the measurements of a global sensor ...[+]
Subjects: Mobile robots , Pose estimation , Sensor fusion , Kalman filtering , Inertial sensors , Robot sensing systems , Dynamic model , Embedded systems , Global positioning systems , Event based systems
Copyrigths: Reconocimiento (by)
Source:
Sensors. (issn: 1424-8220 )
DOI: 10.3390/s131014133
Publisher:
MDPI
Publisher version: http://dx.doi.org/10.3390/s131014133
Thanks:
This work has been partially funded by FEDER-CICYT projects with references DPI2011-28507-C02-01 and DPI2010-20814-C02-02, financed by Ministerio de Ciencia e Innovacion (Spain). Also, the financial support from the ...[+]
Type: Artículo

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