Please use this identifier to cite or link to this item: https://doi.org/10.2316/Journal.201.2012.1.201-2310
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dc.titleDesign and construction methodology of an indoor uav system with embedded vision
dc.contributor.authorWang, F.
dc.contributor.authorPhang, S.K.
dc.contributor.authorOng, J.J.
dc.contributor.authorChen, B.M.
dc.contributor.authorLee, T.H.
dc.date.accessioned2014-06-19T03:05:05Z
dc.date.available2014-06-19T03:05:05Z
dc.date.issued2012
dc.identifier.citationWang, F., Phang, S.K., Ong, J.J., Chen, B.M., Lee, T.H. (2012). Design and construction methodology of an indoor uav system with embedded vision. Control and Intelligent Systems 40 (1) : 22-32. ScholarBank@NUS Repository. https://doi.org/10.2316/Journal.201.2012.1.201-2310
dc.identifier.issn14801752
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/69822
dc.description.abstractThis paper describes the design and construction of an autonomous indoor coaxial rotorcraft system with onboard vision processing capability. A radio-controlled (RC) helicopter was modified and upgraded with essential avionics and processing elements for autonomous flight. This paper shows that in an indoor environment, where GPS signals are unavailable, vision-based navigation system can be used as a substitution. An embedded vision system that is compact and light enough to be carried by indoor UAVs is integrated into the control loop. The system has been successfully tested and the UAV was able to follow a painted track on the ground autonomously.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.2316/Journal.201.2012.1.201-2310
dc.sourceScopus
dc.subjectEmbedded vision processing
dc.subjectFlight control systems
dc.subjectMicro-aerial vehicles
dc.subjectReal-time systems
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.2316/Journal.201.2012.1.201-2310
dc.description.sourcetitleControl and Intelligent Systems
dc.description.volume40
dc.description.issue1
dc.description.page22-32
dc.description.codenCISSF
dc.identifier.isiut000421993100004
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