Aerial obstacle detection with 3D mobile devices
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http://hdl.handle.net/10045/37205
Título: | Aerial obstacle detection with 3D mobile devices |
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Autor/es: | Sáez Martínez, Juan Manuel | Escolano, Francisco | Lozano, Miguel Angel |
Grupo/s de investigación o GITE: | Laboratorio de Investigación en Visión Móvil (MVRLab) |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial |
Palabras clave: | Computer vision | Visually impaired | Mobile vision |
Área/s de conocimiento: | Ciencia de la Computación e Inteligencia Artificial |
Fecha de publicación: | 7-may-2014 |
Editor: | IEEE |
Cita bibliográfica: | IEEE Journal of Biomedical and Health Informatics. 2014, 19(1): 74-80. doi:10.1109/JBHI.2014.2322392 |
Resumen: | In this paper, we present a novel approach for aerial obstacle detection (e.g. branches or awnings) using a 3D smartphone in the context of the visually impaired (VI) people assistance. This kind of obstacles are especially challenging because they cannot be detected by the walking stick or the guide dog. The algorithm captures the 3D data of the scene through stereo vision. To our knowledge, this is the first work that presents a technology able to obtain real 3D measures with smartphones in real time. The orientation sensors of the device (magnetometer and accelerometer) are used to approximate the walking direction of the user, in order to look for the obstacles only in such direction. The obtained 3D data are compressed and then linearized for detecting the potential obstacles. Potential obstacles are tracked in order to accumulate enough evidence to alert the user only when a real obstacle is found. In the experimental section, we show the results of the algorithm in several situations using real data and helped by VI users. |
Patrocinador/es: | J.M. Sáez and M.A. Lozano are supported by the University of Alicante research grant GRE10-21. F. Escolano is supported by the project TIN2012-32839 of the Spanish Government. |
URI: | http://hdl.handle.net/10045/37205 |
ISSN: | 2168-2194 |
DOI: | 10.1109/JBHI.2014.2322392 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © Copyright 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. |
Revisión científica: | si |
Versión del editor: | http://dx.doi.org/10.1109/JBHI.2014.2322392 |
Aparece en las colecciones: | INV - MVRLab - Artículos de Revistas |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
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2014_Saez_etal_IEEE-JBHI.pdf | Versión revisada (acceso abierto) | 1,05 MB | Adobe PDF | Abrir Vista previa |
2014_Saez_etal_IEEE-JBHI_final.pdf | Versión final (acceso restringido) | 873,31 kB | Adobe PDF | Abrir Solicitar una copia |
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