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APPLYING TRAJECTORY TRACKING AND POSITIONING TECHNIQUES FOR REAL-TIME AUTONOMOUS FLIGHT PERFORMANCE ASSESSMENT OF UAV SYSTEMS

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dc.citedby1
dc.contributor.authorMostafa S.A.en_US
dc.contributor.authorMustapha A.en_US
dc.contributor.authorRamli A.A.en_US
dc.contributor.authorDarman R.en_US
dc.contributor.authorZeebaree S.R.M.en_US
dc.contributor.authorMohammed M.A.en_US
dc.contributor.authorGunasekaran S.S.en_US
dc.contributor.authorIbrahim D.A.en_US
dc.contributor.authorid37036085800en_US
dc.contributor.authorid57200530694en_US
dc.contributor.authorid35198854500en_US
dc.contributor.authorid57191244935en_US
dc.contributor.authorid57202830772en_US
dc.contributor.authorid57192089894en_US
dc.contributor.authorid55652730500en_US
dc.contributor.authorid57191545030en_US
dc.date.accessioned2023-05-29T07:25:14Z
dc.date.available2023-05-29T07:25:14Z
dc.date.issued2019
dc.descriptionAircraft detection; Real time systems; Unmanned aerial vehicles (UAV); Vehicle performance; Aerial vehicle; Autonomous system; Performance; Performance-based assessment; Positioning techniques; Real- time; Tracking techniques; Trajectory tracking technique; Trajectory-tracking; Unmanned aerial vehicle; Antennasen_US
dc.description.abstractThis research presents a Performance Visualized Assessment (PVA) archetype via which the performance of autonomous Unmanned Aerial Vehicles (UAV) or drone framework can be scrutinized and evaluated. The PVA is a performance-based assessment method that appropriately fits in assessing the flight point of the UAV in an indoor situation and outside the requirement of GPS aid. The PVA prototype came up with is comprised of Visualized Mission Grid (VMG) and Chi-square (CSI) modules. The VMG maps viewable field information of the surrounding including the situation of the route mission. In addition, the utilization of restriction and optical stream indoor direction monitoring and trailing is used in the CSI. The PVA follows and evaluates the execution of the UAV autonomous operations by checking and envisioning the direction and the UAV action amid route missions. The implementation outcomes demonstrate that the PVA is able to precisely assess and envision the execution quality of three aerial missions. � 2019 Science Press. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.35741/issn.0258-2724.54.3.7
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85126878178
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85126878178&doi=10.35741%2fissn.0258-2724.54.3.7&partnerID=40&md5=b27687b0ea9b2d08db353905fed6d93e
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24623
dc.identifier.volume54
dc.publisherScience Pressen_US
dc.relation.ispartofAll Open Access, Bronze
dc.sourceScopus
dc.sourcetitleXinan Jiaotong Daxue Xuebao/Journal of Southwest Jiaotong University
dc.titleAPPLYING TRAJECTORY TRACKING AND POSITIONING TECHNIQUES FOR REAL-TIME AUTONOMOUS FLIGHT PERFORMANCE ASSESSMENT OF UAV SYSTEMSen_US
dc.typeArticleen_US
dspace.entity.typePublication
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