智能交通信息感知理论与技术 课件 第1次课-交通信息感知理论与方法

交通信息感知与处理技术

TransportationInformationPerceptionandProcessingTechnologyReporter:ProfessorChihangZhaoDepartment:SchoolofTransportationTime:2020-02-24TheoryandTechnologyofModernTransportationInformationPerceptionAcademicReportPart1MaincontentBackgroundintroductionPerceptionofthevehiclePerceptionofthedriversTrafficInformationPerceptionInformationperceptionPerceptionoftheroadBackgroundintroductionIntelligenttransportationsystem(ITS)waswell-knownasaneffectivemethodtosolvetheurbantrafficproblemITSneedstheintelligentinformationsystemtosupportits’constructionandimplementation,asthebasisofconstructinginformationsystem,theacquisitionofthetrafficinformationplaysanimportantruleduringtheconstructionoftheinformationsystem.Tothetrafficmanagementdepartment,acquirereliabletrafficinformationandextractaccurateandusefuldecisionsupportinformationhasbecomemoreandmoreimportantTothetravelers,acquireaccurateandreal-timetrafficconditioninformationhasbecomeanrealisticdemandSoweproposedthetrafficinformationperceptionaboutpeople,vehicleandroadTechnicalrouteImagedataacquisitionImagedataprocessingAnalysis(Imageprocessingtechnology)(Video&Image)(Statisticalanalysis)InformationPerception------------driverDrivingposturedatasetCameraontheleftCameraonthefrontFatiguefacialexpressiondatasetImage&VideoDataacquisitionPerceptionofdrivingposturesDrivingposturedatasetIlluminationnormalizationHomomorphicFilter(HOMOF)Skin-colorSegmentationRGBSpaceNormalizationRGBtriplet(r,g,b)wasnormalized:Thenormalizedcolor(r,g,b)isclassifiedasaskincolorasthefollowrules:ProcessingPerceptionofdrivingposturesEdgeimagesFeaturesdistributionofimagesTheresultofBayesclassifierFeatureExtractionBayesianClassificationCannyEdgeDetection√√××Intelligent&AutomaticRecognitionAnalysisPerceptionofdrivers’fatigueConstructiontheimagedatasetViola-JonesfacedetectionalgorithmIlluminationnormalization···Curvelettransform(scales=2,orientations=16)

AwakeModerateSevereHomomorphicFilterImagefeaturedescriptionFatigueclassificationRandomSubspaceEnsemble(RSE)ofSupportVectorMachinesProcessing&AnalysisInformationPerception-----------vehicleBackground

….AdvancedtechnologyApplicationRequirementsVehicleDetectionPlateRecognitionTypeRecognitionVehiclefaceInformationPerception------------VehicleImage&VideoDataacquisitionImageVideoInformationPerception-----------vehicleFeatureAnalysisSymmetricalStrongtextureShapeTheoryandTechnology1VehiclePlateLocation&VehicleDetectionLaplaceedgedetectorContoursymmetryaxisdetectionSymmetryvalueonthescanlineTheimageafterpreprocessingEdgeImageVerticalsymmetrySymmetryaxisofvehiclecontourLicenseplatesearchareadeterminedLicenseplatesymmetryaxisdeterminedVehicledetectionLicensePlateLocationShapefeatureSearchAreaTheoryandTechnology1VehiclePlateRecognitionTheoryandTechnology2ProvinceCityLicensenumberVehicleFaceDetectionLicenseplateregionVehicleContoursymmetryVehicleFaceTheoryandTechnology3VehicleTypeRecognitionTheoryandTechnology4SystemApplicationPlateInformation:

鲁HX8211鲁HT0880VehicleType:

Nissan

CheryInclude25kindsoftypesProcessingTime:0.083sVTRIS(VehicletyperecognitionIntelligentSystem)SystemApplicationVTRIS----Real-timemonitorInputthesearchnumberandrealizethereal-timesearchingVehicleplaterecognitionrate:

center:>85%;urban:95%Typespecies:center:48;urban:48Vehicletyperecognitionrate:

center:82%;urban:92%Colorrecognitionrate

60%;improvingParametersInformationPerception-----------RoadOverloadedConstructionMaintenanceImbalancePavementDistressInformationPerception-----------RoadImageacquisitionInformationPerception-----------RoadPavementDistressImageDistressDetectionDistressLocationFeatureextractionSVMclassificationRecognitionSystemApplicationDRHPDV1.0(DetectionandR