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ID:40715712
大小:192.14 KB
页数:7页
时间:2019-08-06
《Fast-SeqSLAM A Fast Appearance Based Place Recognition Algorithm》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、2017IEEEInternationalConferenceonRoboticsandAutomation(ICRA)Singapore,May29-June3,2017Fast-SeqSLAM:AFastAppearanceBasedPlaceRecognitionAlgorithmSayemMohammadSiamandHongZhangAbstract—Loopclosuredetectionorplacerecognitionisahasdemonstratedbetterperformanceinrecogni
2、zingplacesfundamentalprobleminrobotsimultaneouslocalizationandthatunderwentsevereappearancechangesthantheothermapping(SLAM).SeqSLAMisconsideredtobeoneofthemostsuccessfulSLAMalgorithmslikeFAB-MAP2.0[5].Mostsuccessfulalgorithmsforloopclosuredetectionasithasbeenrecen
3、tly,MilfordandShen[5]havedemonstratedsignificantdemonstratedtobeabletohandlesignificantenvironmentalconditionchangesincludingthoseduetoillumination,weather,improvementoftheviewpointinvarianceofSeqSLAMbyandtimeoftheday.However,SeqSLAMreliesheavilyongeneratingsyntheti
4、cviewpointsusingthestate-of-the-artexhaustivesequencematching,acomputationallyexpensivedeeplearningtechniques[6].However,SeqSLAM,whichprocessthatpreventsthealgorithmfrombeingusedindealingisbasedonexhaustivesequencesearch,iscomputationallywithlargemaps.Inthispaper,
5、weproposeFast-SeqSLAM,costlywhenthenumberofimagesornodesinthemapisanefficientversionofSeqSLAM.Fast-SeqSLAMhasamuchreducedtimecomplexitywithoutdegradingtheaccuracy,andlarge.Thisisunfortunateasarobotneedstoperformallthethisisachievedbyusinganapproximatenearestneighbo
6、rcomputationforlocalizationincludingloopclosuredetection(ANN)algorithmtomatchthecurrentimagewiththoseonlineinaSLAMsystem.intherobotmapandextendingtheideaofSeqSLAMtoThekeymotivationforourworkistodevelopaplacegreedilysearchasequenceofimagesthatbestmatchwithrecogniti
7、onalgorithmforalargescaleandlongtermop-thecurrentsequence.WedemonstratetheeffectivenessofourFast-SeqSLAMalgorithminappearancebasedloopclosureeration,basedonsequencematchinglikeSeqSLAMbutdetection.computationallyefficient.Toachieveahighcomputationalefficiency,wefirsts
8、toretheimagedescriptorsofamapI.INTRODUCTIONinatreestructure.ThenweuseanapproximatenearestThecomputationtaskofbuildingorupdatingamapandneighbor(ANN)algor
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