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1、智能车辆的行人检测技术研究（Researchonpedestriandetectionofintelligentvehicle）ResearchonpedestriandetectionofintelligentvehicleAuthor:2010-07-0516:16:07author/YangDapengGaoXiangdongLiuHongSchoolofmechanicalengineeringZhengzhouUniversityLaiwuSteelGroupLtdSongHanjunsource:[][]text
2、size:smallinlarge.Toreducetheoccurrenceoftrafficaccidentsandcasualtieshavebecomethefocusofthewholesociety,tocarryouttheresearchonpedestriandetectiontechnology,timelyinformthedriverofthevehicleinfrontofthepedestrian,andsafetywarning,toreduceandavoidsignificantvehicl
3、epedestriancollisionaccident.PedestriandetectionstatusThepedestriandetectionfacesmorecomplexworkenvironmentandhighperformancerequirements,thereforebecomethefocusofresearchininterdisciplinarycomputerscience,imageprocessing,automaticcontrol,artificialintelligenceandp
4、atternrecognition.Themainmethodsofpedestriandetectionaresensorbased,featureextraction,humanbasedmodel,statisticalclassification,templatematching,etc..SensorbasedapproachAtpresent,themainsensorsusedinpedestriandetectionaremonocularvision,stereovision,infraredimaging
5、,microwaveradarandlaserrangefinder.Thesesensorscarryoutnon-contactdetectionofthesurroundingenvironmentofvehiclestoobtaininformationaboutpedestrians,vehicles,obstaclesandsoon.Visionisanimportantmeansofhumanobservationandtounderstandtheworld,theneedsofthedriverwhendr
6、ivingthe90%informationfromthevisualsystem,trafficsignals,trafficpatterns,suchasroadsignscanberegardedastheenvironmentandthedriver'svisualcommunicationlanguage.Monocularvisionhastheadvantagesofrichinformationcontent,largeinformationarea,multilanedetection,simultaneo
7、usroaddetectionandobstacleidentification,andlowmaintenancecost.However,theimageinformationobtainedbyitisverycomplex,andtheamountofdatatobeprocessedisverylarge,anditisalsoaffectedbylight,weatherandocclusion.Basedonthepedestriandetectionmethodundermonocularmoving,the
8、pedestrianisdecomposedintoseveralcomponentsforidentification.Stereovisionistoobservethesamethingfromtwoormorepointsofview,soastoobtainthepercepti
