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dc.contributor.author Piotr en_US
dc.contributor.author Martin en_US
dc.contributor.author David R. W. en_US
dc.date.accessioned 2008-05-01T14:23:32Z
dc.date.available 2008-05-01T14:23:32Z
dc.date.issued 2008-06-01 en_US
dc.identifier 978-1905986163 en_US
dc.identifier.citation Dudek , P , Hülse , M & Barr , D R W 2008 , ' Cellular automata and non-static image processing for embodied robot systems on a massively parallel processor array ' . in Automata-2008 : Theory and Applications of Cellular Automata . Luniver Press , pp. 504-510 . en_US
dc.identifier.other PURE: 76661 en_US
dc.identifier.other dspace: 2160/562 en_US
dc.identifier.uri http://hdl.handle.net/2160/562
dc.description.abstract A massively parallel processor array which combines image sensing and processing is utilized for the implementation of a simple Cellular Automaton. This automaton is essential part of an image processing task supporting object detection in real-time for an autonomous robot system. Experiments are presented, which demonstrate that objects will be detected only if they move below a specific velocity in the visual scene. Based on these experiments we will discuss the role of configurations changes if a Cellular Automaton is seen as a parallel processing computer. This leads us to the conclusion that if CA are performing non-static data processing tasks they might be better approached as sensor-driven parameterized dynamical system rather than as parallel computers operating on initial configurations only. en_US
dc.format.extent 7 en_US
dc.publisher Luniver Press en_US
dc.relation.ispartof Automata-2008 en_US
dc.title Cellular automata and non-static image processing for embodied robot systems on a massively parallel processor array en_US
dc.contributor.pbl Department of Computer Science en_US
dc.contributor.pbl Intelligent Robotics Group en_US


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