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Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICCA.2013.6564973
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dc.titleMoving target tracking by UAVs in an urban area
dc.contributor.authorHe, Z.
dc.contributor.authorXu, J.-X.
dc.date.accessioned2014-06-19T03:18:59Z
dc.date.available2014-06-19T03:18:59Z
dc.date.issued2013
dc.identifier.citationHe, Z.,Xu, J.-X. (2013). Moving target tracking by UAVs in an urban area. IEEE International Conference on Control and Automation, ICCA : 1933-1938. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/ICCA.2013.6564973" target="_blank">https://doi.org/10.1109/ICCA.2013.6564973</a>
dc.identifier.isbn9781467347075
dc.identifier.issn19483449
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/71024
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. © 2013 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICCA.2013.6564973
dc.sourceScopus
dc.subjectLine of sight (LOS) occlusion
dc.subjectModel predictive control (MPC)
dc.subjectPath planning
dc.subjectUnmanned aerial vehicles (UAVs)
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/ICCA.2013.6564973
dc.description.sourcetitleIEEE International Conference on Control and Automation, ICCA
dc.description.page1933-1938
dc.identifier.isiutNOT_IN_WOS
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