dc.contributor.authorAmit Agarwal
dc.date.accessioned2010-08-12T03:31:25Z
dc.date.accessioned2017-07-23T08:33:10Z
dc.date.available2010-08-12T03:31:25Z
dc.date.available2017-07-23T08:33:10Z
dc.date.copyright2008en_US
dc.date.issued2008
dc.identifier.citationAmit Agarwal. (2008). Rectilinear polygon partitioning for region coverage using UAVs. Doctoral thesis, Nanyang Technological University, Singapore.
dc.identifier.urihttp://hdl.handle.net/10356/41780
dc.description.abstractLow altitude Unmanned Aerial Vehicles (UAVs) are cheap, offer flexibility in deployment and stealthier than manned aircrafts due to their smaller size. They are well-suited for missions such as damage assessment and airbase or urban reconnaissance which require low-altitude flights. Their limited altitude of operation allows the use of low-cost lightweight imaging payload and allows them to avoid occlusions due to line-of-sight or the presence of clouds. Several UAVs can simultaneously perform region coverage in time-critical scenarios or when the endurance of a single UAV is insufficient. Parallel usage of UAVs also reduces the duration of threat exposure. The use of multiple UAVs for low-altitude reconnaissance introduces two challenges that are absent when a single high-altitude UAV is used for reconnaissance - (i) Workspace Division: when multiple UAVs are used, the workspace must be divided amongst them such that the workload of each UAV is proportional to its relative capability for region coverage. (ii) Waypoint Planning: A high-altitude UAV has a correspondingly large footprint and it can thus complete the reconnaissance mission by photographing from a few vantage points. For low-altitude reconnaissance the waypoint planning problem is important and needs to be tackled to generate efficient paths.en_US
dc.format.extent95 p.en_US
dc.language.isoenen_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineering::Electronic systemsen_US
dc.titleRectilinear polygon partitioning for region coverage using UAVsen_US
dc.typeThesis
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.contributor.supervisorLim Meng Hioten_US
dc.description.degreeDOCTOR OF PHILOSOPHY (EEE)en_US


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