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ID:39077445
大小:480.20 KB
页数:7页
时间:2019-06-24
《Towards Intensity-Augmented SLAM with LiDAR and ToF Sensors利用激光雷达和ToF传感器实现强度增强的SLAM》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、TowardsIntensity-AugmentedSLAMwithLiDARandToFSensorsRobertA.Hewitt1andJoshuaA.Marshall2Abstract—AlthoughpassivesensorsarewidelyusedformanytheapplicationoftheseresultstoEarthapplications(e.g.,inmobileroboticsapplicationsthatperformmappingandlocal-mining)whereroboticvehiclesworkinenvironmentshavingiz
2、ationfunctions,therearemanyenvironments(e.g.,miningandunpredictablelightingconditionsornoexternallighting.planetary)whereactivesensorsaremorepractical.However,Firstly,weaskwhetheritispossibletomodelintensityatpresent,most3DSLAMalgorithmsthatdouseLiDARand/ortime-of-flight(ToF)sensorsexploitonlyrangea
3、ndmeasurementsasafunctionofrobotandmapparameters.bearinginformationassociatedwiththesemeasurements,butTheanswertothisquestionliesinalargebodyofpreviousnotintensityinformation.Thispaperpresentsanewapproachwork.Inthecomputervisionliteraturetheproblemofshape-thatattemptstoexplicitlyincorporateanintens
4、itymodelasfrom-shadingbearsmanysimilaritiestotheproblemathand.partofasparsebundleadjustment(SBA)estimationproblem.ByassumingaknownlightsourcedirectionandmodellingAnobservabilityanalysisshowsthatasolutionexists,andsimulationresultsverifyitspotentialutility.brightnessasafunctionofsurfaceshape,ithasbe
5、enshownErrata—TheoriginallypublishedversionofthispaperthatshapecanbederivedfromintensitygradientsincameracontainederrorsinTableII.Therankdeficiencyoftheimages[3].Asanextensiontothis,varyingknownlightSLAMproblemforvariouscombinationsofmeasurementswassourcedirectionsacrossmultipleimagesofthesamescene,
6、computedincorrectlywhenincludingtheminimumnumberhasbeenusedinatechniquecalledphotometricstereotooflandmarks.Aftercorrectingthis,theminimumnumberoflandmarksforasolutionwhenincludingintensityandsurfaceestimatesurfaceshapeandreflectivity[4].normalmeasurementsis2,not1(stillanimprovementoverHofleandPfeife
7、r[5]describedamethodforproducing¨traditionalSLAM).ThesimulationdoesnotrelyonthesearialLiDARintensityimagesthatareproportionaltothecomputationsandcontinuestoshowtheimprovementgainedreflectanceofthemeasuredsur
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