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Título: | Evaluation of three vision based object perception methods for a mobile robot |
Autor: | Ramisa, Arnau CSIC ORCID; Aldavert, David; Vasudevan, Shrihari; Toledo, Ricardo; López de Mántaras, Ramón CSIC ORCID | Palabras clave: | Mobile robots Object recognition |
Fecha de publicación: | 2012 | Editor: | Springer Nature | Citación: | Journal of Intelligent and Robotic Systems 68(2): 185-208 (2012) | Resumen: | This paper addresses visual object perception applied to mobile robotics. Being able to perceive household objects in unstructured environments is a key capability in order to make robots suitable to perform complex tasks in home environments. However, finding a solution for this task is daunting: it requires the ability to handle the variability in image formation in a moving camera with tight time constraints. The paper brings to attention some of the issues with applying three state of the art object recognition and detection methods in a mobile robotics scenario, and proposes methods to deal with windowing/segmentation. Thus, this work aims at evaluating the state-of-the-art in object perception in an attempt to develop a lightweight solution for mobile robotics use/research in typical indoor settings. © Springer Science+Business Media B.V. 2012. | Versión del editor: | http://dx.doi.org/10.1007/s10846-012-9675-8 | URI: | http://hdl.handle.net/10261/96499 | DOI: | 10.1007/s10846-012-9675-8 | Identificadores: | doi: 10.1007/s10846-012-9675-8 issn: 0921-0296 e-issn: 1573-0409 |
Aparece en las colecciones: | (IRII) Artículos (IIIA) Artículos |
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Evaluation of three vision.pdf | 949,18 kB | Unknown | Visualizar/Abrir |
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