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- W4299737166 abstract "This paper addresses object perception applied to mobile robotics. Being able to perceive semantically meaningful objects in unstructured environments is a key capability in order to make robots suitable to perform high-level 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." @default.
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- W4299737166 date "2011-02-02" @default.
- W4299737166 modified "2023-10-18" @default.
- W4299737166 title "Evaluation of Three Vision Based Object Perception Methods for a Mobile Robot" @default.
- W4299737166 doi "https://doi.org/10.48550/arxiv.1102.0454" @default.
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