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1、ABSTRACTABSTRACTInrecentyears,withtherapidincreaseofvehicles,trafficaccidentsalsoincreasedrapidlycausedbyvehiclecollisionandlanedeparture,thenumberofcasualtiesisrisingyearbyyear,andbecomeapublichazardinmodernsociety.Recently,vehicleactivesafedrivinghasattractedmor
2、eandmoreattentionofsomeresearchinstitutionsandvehiclemanufacturers.ComputerVisionbasedvehicledetection,vehiclecollisionwarning,lanedetectionandlanedeparturewarningisoneimportantresearchareaofvehicleactivesafety.DuetothelowpriceofVisionsensors,flexiblealgorithm,and
3、collectinginformation-rich,iswidelyusedinvehicleactivesafety.Inthispaper,wemainlystudyonthetechnologyofactivesafetybasedonmonocularvision,collectionofenvironmentalinformationbythecamerainstalledinfrontofthevehiclesandprocessingmeanwhile,realizationvehicledetection
4、,vehicledistancemeasuring,lanedetection,andLaneDepartureWarning.Themainworksandresearchresultsareasfollows:1.Inordertobuildupthemappingrelationshipbetweenimageandspatialobjectandvisionmeasurement,thecameraneedtocalibration.Atfirstweintroducedthemaincameracalibrati
5、onMethodcurrently,thenaccordingtotheresearchsubjectusingmonocularcamera,drawupasimple,practicalandhigh-accuracycalibrationmethod.2.Studyavehicledetectionmethodusingbasedongradientorientationhistogram,usinglinearsupportvectormachinetrainingtheHOGcharacteristicsextr
6、actedfromsamplesthenreceivedabinclassifier,applytheclassifiertovehicledetection.Accordingimageprocessingandgeometrictransformtheory,combinedwithvehicledetectionresultinformationtorealizedistancemeasuringofthefrontvehicles.3.Usingcannyoperatorextractionimage’sedgea
7、ndedgedirection’sinformationtoimprovethetraditionalHoughtransform,applyimprovedHoughtransformrealizelanedetection.AccordinglaneDetectionresultandthecurrentdrivingsituationdeterminesthelaneparameters.4.Firstgiveabriefintroductionofdecision-makemethodforlanedepartur
8、ewarning.II万方数据ABSTRACTPresentacalculationmethodforvehiclelateralshiftdistanceandvehicleyawangle,accordingtotheseinformationestablishmentsawarningmethod
