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dc.contributor.authorLow, William-
dc.contributor.authorNagarajan, R.-
dc.contributor.authorSazali, Yaacob-
dc.date.accessioned2009-11-18T04:12:43Z-
dc.date.available2009-11-18T04:12:43Z-
dc.date.issued2009-10-11-
dc.identifier.citationp.5A3 1 - 5A3 8en_US
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/7332-
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.abstractSimultaneous Localization and Mapping (SLAM) has been one of the active research areas in robotic community for the past decade of years. SLAM addresses the problem of a robot navigating and building a map of an unknown environment, without an initial map or an absolute localization means. This paper attempts to provide a comprehensive overview of the SLAM problem. Successful SLAM implementations using laser, sonar and radar can be found in the literature. However, recent extensions to the general SLAM problem has looked into the possibility of using 3-dimensional features and the use of vision sensors. We will focus on these two approaches to the SLAM problem using vision: one with single or monocular camera and another with stereovision. Current applications and future challenges will also be discussed.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.subjectRobots -- Control systemsen_US
dc.subjectData transmission systemsen_US
dc.subjectMobile robotsen_US
dc.subjectSimultaneous Localization and Mapping (SLAM)en_US
dc.titleSimultaneous localization and map building – a guided touren_US
dc.typeWorking Paperen_US
Appears in Collections:Conference Papers
Sazali Yaacob, Prof. Dr.
Ramachandran, Nagarajan, Prof. Dr.

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