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dc.contributor.authorParikh, Anupen_US
dc.contributor.authorCheng, Teng-Huen_US
dc.contributor.authorLicitra, Ryanen_US
dc.contributor.authorDixon, Warren E.en_US
dc.date.accessioned2019-04-02T06:00:29Z-
dc.date.available2019-04-02T06:00:29Z-
dc.date.issued2018-11-01en_US
dc.identifier.issn1063-6536en_US
dc.identifier.urihttp://dx.doi.org/10.1109/TCST.2017.2753163en_US
dc.identifier.urihttp://hdl.handle.net/11536/148276-
dc.description.abstractImage sensors have widespread use in many robotics applications and, in particular, in target tracking. While existing methods assume continuous image feedback, the novelty of this brief stems from the development of dwell time conditions to guarantee convergence of state estimates to an ultimate bound for a class of image-based observers in the presence of intermittent measurements. A Lyapunov analysis for the switched system is performed to develop convergence conditions based on the minimum amount of time the object must be visible and on the maximum amount of time the object may remain outside the camera view. Experimental results are included to verify the theoretical results and elucidate real-world performance.en_US
dc.language.isoen_USen_US
dc.subjectComputer visionen_US
dc.subjectestimationen_US
dc.subjectrange sensingen_US
dc.subjectswitched systemsen_US
dc.subjectvisual trackingen_US
dc.titleA Switched Systems Approach to Image-Based Localization of Targets That Temporarily Leave the Camera Field of Viewen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/TCST.2017.2753163en_US
dc.identifier.journalIEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGYen_US
dc.citation.volume26en_US
dc.citation.spage2149en_US
dc.citation.epage2156en_US
dc.contributor.department機械工程學系zh_TW
dc.contributor.departmentDepartment of Mechanical Engineeringen_US
dc.identifier.wosnumberWOS:000447047900018en_US
dc.citation.woscount1en_US
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