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dc.contributor.authorShaqura, Mohammad
dc.contributor.authorAlzuhair, Khalid
dc.contributor.authorAbdel Latif, Fadl Hicham Fadl
dc.contributor.authorShamma, Jeff S.
dc.date.accessioned2018-09-30T12:12:56Z
dc.date.available2018-09-30T12:12:56Z
dc.date.issued2018-09-20
dc.identifier.citationShaqura M, Alzuhair K, Abdellatif F, Shamma JS (2018) Human Supervised Multirotor UAV System Design for Inspection Applications. 2018 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR). Available: http://dx.doi.org/10.1109/ssrr.2018.8468648.
dc.identifier.doi10.1109/ssrr.2018.8468648
dc.identifier.urihttp://hdl.handle.net/10754/628850
dc.description.abstractMultirotor UAVs are widely used for aerial inspection applications where missions are accomplished either via manual or autonomous control. Human controlled UAVs require trained pilots which can be a barrier from using the technology for general inspection personnel. Fully autonomous navigation, which employs onboard sensing, planning and coverage algorithms, is effective but comes with the cost of development and operational complexities. A human supervised UAV system design is presented where a deployed aerial vehicle operates in semi-autonomous mode. An operator, who is equipped with a smart handheld laser pointer, gives the UAV global guiding directions to reach the inspection target. The UAV is equipped with onboard vision sensing for local planning and target identification in addition to video streaming or recording. System operation is validated in indoor fliaht tests.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/8468648
dc.rightsArchived with thanks to 2018 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR)
dc.subjectUnmanned aerial vehicles
dc.subjectInspection
dc.subjectAutonomous systems
dc.subjectHuman-robot interaction
dc.titleHuman Supervised Multirotor UAV System Design for Inspection Applications
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentIntelligent Systems, R&D Center, Saudi Aramco, Thuwal, KSA
dc.contributor.departmentMechanical Engineering Program
dc.identifier.journal2018 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR)
dc.eprint.versionPost-print
kaust.personShaqura, Mohammad
kaust.personAlzuhair, Khalid
kaust.personAbdel Latif, Fadl Hicham Fadl
kaust.personShamma, Jeff S.
refterms.dateFOA2018-10-01T08:20:53Z
dc.date.published-online2018-09-20
dc.date.published-print2018-08


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