Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/65349
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dc.contributorDepartment of Mechanical Engineering-
dc.creatorSun, J-
dc.creatorLi, B-
dc.creatorJiang, Y-
dc.creatorWen, CY-
dc.date.accessioned2017-05-22T02:08:26Z-
dc.date.available2017-05-22T02:08:26Z-
dc.identifier.urihttp://hdl.handle.net/10397/65349-
dc.language.isoenen_US
dc.publisherMolecular Diversity Preservation International (MDPI)en_US
dc.rights© 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Sun, J.; Li, B.; Jiang, Y.; Wen, C.-y. A Camera-Based Target Detection and Positioning UAV System for Search and Rescue (SAR) Purposes. Sensors 2016, 16, 1778 is available at https://dx.doi.org/10.3390/s16111778en_US
dc.subjectTarget detectionen_US
dc.subjectUnmanned aerial vehicle (UAV)en_US
dc.subjectWilderness search and rescueen_US
dc.titleA camera-based target detection and positioning UAV system for search and rescue (SAR) purposesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume16-
dc.identifier.issue11-
dc.identifier.doi10.3390/s16111778-
dcterms.abstractWilderness search and rescue entails performing a wide-range of work in complex environments and large regions. Given the concerns inherent in large regions due to limited rescue distribution, unmanned aerial vehicle (UAV)-based frameworks are a promising platform for providing aerial imaging. In recent years, technological advances in areas such as micro-technology, sensors and navigation have influenced the various applications of UAVs. In this study, an all-in-one camera-based target detection and positioning system is developed and integrated into a fully autonomous fixed-wing UAV. The system presented in this paper is capable of on-board, real-time target identification, post-target identification and location and aerial image collection for further mapping applications. Its performance is examined using several simulated search and rescue missions, and the test results demonstrate its reliability and efficiency.-
dcterms.accessRightsopen access-
dcterms.bibliographicCitationSensors, Nov. 2016, v. 16, no. 11, 1778, p. 1-24-
dcterms.isPartOfSensors-
dcterms.issued2016-11-
dc.identifier.isiWOS:000389641700011-
dc.identifier.scopus2-s2.0-84992458360-
dc.identifier.ros2016000505-
dc.identifier.eissn1424-8220-
dc.identifier.artn1778-
dc.identifier.rosgroupid2016000504-
dc.description.ros2016-2017 > Academic research: refereed > Publication in refereed journal-
dc.description.validate201804_a bcma-
dc.description.oaVersion of Record-
dc.identifier.FolderNumbera0716-n06-
dc.identifier.SubFormID1043-
dc.description.fundingSourceSelf-funded-
dc.description.pubStatusPublished-
dc.description.oaCategoryCCen_US
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