Developing and modelling of satellite docking algorithm

dc.citation.epage471en_US
dc.citation.spage465en_US
dc.contributor.authorAras, Y. Erdemen_US
dc.contributor.authorUyar, M. Numanen_US
dc.contributor.authorSoydan, Mahmut C.en_US
dc.contributor.authorHarmankaya, M. Selahaddinen_US
dc.contributor.authorAlan, Furkanen_US
dc.contributor.authorAkbulut, B.en_US
dc.coverage.spatialİstanbul, Turkeyen_US
dc.date.accessioned2018-04-12T11:45:32Z
dc.date.available2018-04-12T11:45:32Z
dc.date.issued2017en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 19-22 June 2017en_US
dc.descriptionConference Name: 8th International Conference on Recent Advances in Space Technologies, RAST 2017en_US
dc.description.abstractIn this study, a stereovision sensor system hardware and an algorithm are developed to be utilized in autonomous satellite rendezvous applications. A two dimensional representative environment is also being developed consisting of omni wheel robots to test breadboard model of the sensor system in a similar proximity operation scenario. The sensor hardware is designed according to predefined requirements keeping the limitations of the satellites. The sensor is able to estimate position, orientation, linear and angular velocity of a target object whose shape and sizes are known a priori. The detection system relies on specific reference markers and extracted BRISK feature points. Both of stereo and monocular vision approaches are used to detect object and estimate its distance, followed by reverse rigid body transformation to estimate the target?s 3D location and orientation. Time difference between two subsequent frames is used for estimating linear and angular velocities. Additionally, a path-planning algorithm is developed to approach target object in an efficient way.en_US
dc.description.provenanceMade available in DSpace on 2018-04-12T11:45:32Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 179475 bytes, checksum: ea0bedeb05ac9ccfb983c327e155f0c2 (MD5) Previous issue date: 2017en
dc.identifier.doi10.1109/RAST.2017.8002987en_US
dc.identifier.urihttp://hdl.handle.net/11693/37610
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/RAST.2017.8002987en_US
dc.source.titleProceedings of the 8th International Conference on Recent Advances in Space Technologies, RAST 2017en_US
dc.subjectAutonomousen_US
dc.subjectMonocularen_US
dc.subjectRendezvousen_US
dc.subjectSpacecraft dockingen_US
dc.subjectStereo visionen_US
dc.subjectAngular velocityen_US
dc.subjectProximity operationsen_US
dc.subjectRigid body transformationen_US
dc.subjectStereo vision sensoren_US
dc.titleDeveloping and modelling of satellite docking algorithmen_US
dc.typeConference Paperen_US

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