Title:
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Evaluation of three vision based object perception methods for a mobile robot
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Author:
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Ramisa Ayats, Arnau; Aldavert Miró, David; Vasudeban, Shrihari; Toledo Morales, Ricardo; López de Mantaras, Ramon
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Abstract:
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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. |
Abstract:
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Peer Reviewed |
Subject(s):
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-Àrees temàtiques de la UPC::Informàtica::Robòtica -Mobile robots -- Automatic control -computer vision
mobile robots
object detection
PARAULES AUTOR: mobile robots -object recognition -Robots mòbils -- Teledetecció |
Rights:
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Document type:
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Article - Submitted version Article |
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