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dc.contributor.authorPaulraj, Murugesapandian
dc.contributor.authorFadzilah, Hashim
dc.contributor.authorR. Badlishah, Ahmad
dc.contributor.authorHema, Chengalvarayan Radhakrishnamurthy
dc.contributor.authorAbdul Hamid, Adom
dc.date.accessioned2009-11-17T02:00:48Z
dc.date.available2009-11-17T02:00:48Z
dc.date.issued2009-10-11
dc.identifier.citationp.3B4 1 - 3B4 - 6en_US
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/7301
dc.descriptionOrganized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.en_US
dc.description.abstractThe computation of a mobile robot position and orientation is a common task in the area of computing vision and image processing. For a successful application, it is important that the position and orientation of a mobile robot must be determined properly. In this paper, a simple procedure for determining the orientation of the mobile robot using two cameras is presented. The two cameras are used to capture the images of a mobile robot at various orientations. Four simple neural network models are developed to associate the inputs and output (orientation). First neural network model is used to estimate the orientation of a mobile robot using only the features derived from the center camera. The second neural network model is used for estimating the orientation of a mobile robot using features derived from both the centre and side cameras. The third neural network model is used to estimate the orientation using features derived from the composition matrix. The fourth neural network model is used for estimating the orientation using Singular Value Decomposition (SVD) technique. Simulation results show that the proposed algorithm can be used to estimate the orientation of the mobile robot accurately.en_US
dc.description.sponsorshipTechnical sponsored by IEEE Malaysia Sectionen_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlisen_US
dc.relation.ispartofseriesProceedings of the International Conference on Man-Machine Systems (ICoMMS 2009)en_US
dc.subjectMobile robotsen_US
dc.subjectRoboticsen_US
dc.subjectRobots -- Design and constructionen_US
dc.subjectIntelligent mobile robotsen_US
dc.subjectRobot visionen_US
dc.subjectImage processingen_US
dc.titleActive stereo vision based system for estimation of Mobile Robot Orientation using composition matrixen_US
dc.typeWorking Paperen_US
dc.contributor.urlpaul@unimap.edu.myen_US


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