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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/32269

Title: Application of SVMs for colour classification and collision detection with AIBO robots
Author/Creator: Quinlan, Michael J.; Chalup, Stephan K.; Middleton, Richard H.
Description: This article addresses the issues of colour classification and collision detection as they occur in the legged league robot soccer environment of RoboCup. We show how the method of one-class classification with support vector machines (SVMs) can be applied to solve these tasks satisfactorily using the limited hardware capacity of the prescribed Sony AIBO quadruped robots. The experimental evaluation shows an improvement over our previous methods of ellipse fitting for colour classification and the statistical approach used for collision detection.
Relation: Seventeenth Annual Conference on Neural Information Processing Systems (NIPS 2003). Advances in Neural Information Processing Systems 16: proceedings of the 2003 conference (Whistler, BC 8-13 December, 2003) p. 635-642
Relation: http://books.nips.cc/nips16.html
Date: 2003
Publisher: MIT Press
Keyword(s): colour classification; collision detection; support vector machines (SVMs)
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.13/32269
Identifier: ISBN:0262201526

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