Adaptive game-theoretic decision making for autonomous vehicle control at roundabouts

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buir.contributor.authorYıldız, Yıldıray
dc.citation.epage326en_US
dc.citation.spage321en_US
dc.contributor.authorTian, R.en_US
dc.contributor.authorLi, S.en_US
dc.contributor.authorLi, N.en_US
dc.contributor.authorKolmanovsky, İ.en_US
dc.contributor.authorGirard, A.en_US
dc.contributor.authorYıldız, Yıldırayen_US
dc.contributor.editorTeel, A. R.
dc.contributor.editorEgerstedt, M.
dc.coverage.spatialMiami Beach, Florida, USAen_US
dc.date.accessioned2020-01-27T12:02:29Zen_US
dc.date.available2020-01-27T12:02:29Zen_US
dc.date.issued2019en_US
dc.departmentDepartment of Mechanical Engineeringen_US
dc.descriptionDate of Conference: 17-19 December 2018en_US
dc.descriptionConference Name: 57th IEEE Conference on Decision and Control, CDC 2018en_US
dc.description.abstractIn this paper, we propose a decision making algorithm for autonomous vehicle control at a roundabout intersection. The algorithm is based on a game-theoretic model representing the interactions between the ego vehicle and an opponent vehicle, and adapts to an online estimated driver type of the opponent vehicle. Simulation results are reported.en_US
dc.description.provenanceSubmitted by Zeynep Aykut (zeynepay@bilkent.edu.tr) on 2020-01-27T12:02:29Z No. of bitstreams: 1 Adaptive_game_theoretic_decision_making_for_autonomous_vehicle_control_at_roundabouts.pdf: 785500 bytes, checksum: 68a121d4e2e8326ff677184314e7f70c (MD5)en
dc.description.provenanceMade available in DSpace on 2020-01-27T12:02:29Z (GMT). No. of bitstreams: 1 Adaptive_game_theoretic_decision_making_for_autonomous_vehicle_control_at_roundabouts.pdf: 785500 bytes, checksum: 68a121d4e2e8326ff677184314e7f70c (MD5) Previous issue date: 2019en
dc.description.sponsorshipMathWorksen_US
dc.description.sponsorshipMitsubishi Electric Research Laboratories (MERL)en_US
dc.description.sponsorshipSkydioen_US
dc.description.sponsorshipSociety for Industrial and Applied Mathematics (SIAM)en_US
dc.description.sponsorshipUnited Technologies Research Center (UTRC)en_US
dc.identifier.doi10.1109/CDC.2018.8619275en_US
dc.identifier.eisbn9781538613955en_US
dc.identifier.eissn2576-2370en_US
dc.identifier.isbn9781538613962en_US
dc.identifier.issn0743-1546en_US
dc.identifier.urihttp://hdl.handle.net/11693/52839en_US
dc.language.isoEnglishen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.isversionofhttps://dx.doi.org/10.1109/CDC.2018.8619275en_US
dc.source.titleProceedings of the 57th IEEE Conference on Decision and Control, CDC 2018en_US
dc.subjectDecision makingen_US
dc.subjectAutonomous vehiclesen_US
dc.subjectComputational modelingen_US
dc.subjectAdaptation modelsen_US
dc.subjectPredictive modelsen_US
dc.subjectRoadsen_US
dc.titleAdaptive game-theoretic decision making for autonomous vehicle control at roundaboutsen_US
dc.typeConference Paperen_US

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