Please use this identifier to cite or link to this item: https://doi.org/10.2316/Journal.201.2014.2.201-2572
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dc.titleMoving target tracking by UAVs inanurban area
dc.contributor.authorHe, Z.
dc.contributor.authorXu, J.-X.
dc.date.accessioned2014-10-07T04:32:45Z
dc.date.available2014-10-07T04:32:45Z
dc.date.issued2014-04-14
dc.identifier.citationHe, Z., Xu, J.-X. (2014-04-14). Moving target tracking by UAVs inanurban area. Control and Intelligent Systems 42 (2) : 144-150. ScholarBank@NUS Repository. https://doi.org/10.2316/Journal.201.2014.2.201-2572
dc.identifier.issn14801752
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/82724
dc.description.abstractIn this paper, we investigate the problem of autonomously tracking a ground moving target in an urban area by unmanned aerial vehicles (UAVs). In this scenario, the target is tracked by two UAVs with on-board sensors under the constraints of urban area occlusions. Information regarding the line of sight occlusions in the urban area is available from a database. To ensure successfully trajectory planning, the UAVs' dynamic constrains must be taken into account. Model predictive control (MPC) method is introduced for a cooperative motion planning in real time. To test the MPC algorithm, simulations using a visual database of the CBD in Singapore are conducted and the performance is showed in three different scenarios.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.2316/Journal.201.2014.2.201-2572
dc.sourceScopus
dc.subjectLine of sight (LOS) occlusion
dc.subjectModel predictive control (MPC)
dc.subjectPath planning
dc.subjectUnmanned aerial vehicles (UAVs)
dc.typeArticle
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.2316/Journal.201.2014.2.201-2572
dc.description.sourcetitleControl and Intelligent Systems
dc.description.volume42
dc.description.issue2
dc.description.page144-150
dc.description.codenCISSF
dc.identifier.isiut000217003900008
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