Multi-Sensor Person Following in Low-Visibility Scenarios
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Otros documentos de la autoría: Sales Gil, Jorge; Marin, Raul; Cervera, Enric; Rodríguez, Sergio; Pérez Soler, Javier
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Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/8620
comunitat-uji-handle4:
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Título
Multi-Sensor Person Following in Low-Visibility ScenariosFecha de publicación
2010Editor
MDPICita bibliográfica
Sensors (2010) vol. 10, no. 12, p. 10953-10966Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
http://www.mdpi.com/1424-8220/10/12/10953/Palabras clave / Materias
Resumen
Person following with mobile robots has traditionally been an important research topic. It has been solved, in most cases, by the use of machine vision or laser rangefinders. In some special circumstances, such as a ... [+]
Person following with mobile robots has traditionally been an important research topic. It has been solved, in most cases, by the use of machine vision or laser rangefinders. In some special circumstances, such as a smoky environment, the use of optical sensors is not a good solution. This paper proposes and compares alternative sensors and methods to perform a person following in low visibility conditions, such as smoky environments in firefighting scenarios. The use of laser rangefinder and sonar sensors is proposed in combination with a vision system that can determine the amount of smoke in the environment. The smoke detection algorithm provides the robot with the ability to use a different combination of sensors to perform robot navigation and person following depending on the visibility in the environment [-]
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LCC (Creative Commons)
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess
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