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dc.contributor.author정정주-
dc.date.accessioned2018-04-04T00:58:58Z-
dc.date.available2018-04-04T00:58:58Z-
dc.date.issued2014-10-
dc.identifier.citation2014 IEEE 17th International Conference on 2014 Oct, 2014년, pp.1066 - 1071en_US
dc.identifier.urihttp://ieeexplore.ieee.org/document/6957829/-
dc.identifier.urihttp://hdl.handle.net/20.500.11754/58395-
dc.description.abstractPredictive virtual lane has been known that it can cope with up to several sampling period camera failure providing improved lateral control performance of lane keeping system. In this paper, we propose an improved lane estimation scheme using a vehicle kinematic lateral motion model and clothoidal road constraints to resolve a longer failure than that considered in the previous study. The lane estimation system gives virtual lane information to the lateral control system. The developed algorithm was validated via computational simulation results with CarSim and MATLAB/Simulink, and experimental results with a test vehicle equipped with an AutoBox from dSPACE.en_US
dc.language.isoenen_US
dc.publisherIntelligent Transportation Systems (ITSC)en_US
dc.subjectVehiclesen_US
dc.subjectRoadsen_US
dc.subjectMathematical modelen_US
dc.subjectCameras, Kinematicsen_US
dc.subjectComputational modelingen_US
dc.subjectWheelsen_US
dc.titleLane Estimation Using a Vehicle Kinematic Lateral Motion Model under Clothoidal Road Constraintsen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ITSC.2014.6957829-
dc.relation.page1066-1071-
dc.contributor.googleauthorKang, Chang Mook-
dc.contributor.googleauthorLee, Seung-Hi-
dc.contributor.googleauthorChung, Chung Choo-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDIVISION OF ELECTRICAL AND BIOMEDICAL ENGINEERING-
dc.identifier.pidcchung-
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COLLEGE OF ENGINEERING[S](공과대학) > ELECTRICAL AND BIOMEDICAL ENGINEERING(전기·생체공학부) > Articles
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