Tightly-Coupled Monocular Visual-Inertial Fusion for Autonomous

Tightly-Coupled Monocular Visual-Inertial Fusion for Autonomous

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时间:2019-08-01

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1、2015IEEEInternationalConferenceonRoboticsandAutomation(ICRA)WashingtonStateConventionCenterSeattle,Washington,May26-30,2015Tightly-CoupledMonocularVisual-InertialFusionforAutonomousFlightofRotorcraftMAVsShaojieShen,NathanMichael,andVijayKumarAbstract—Therehavebe

2、enincreasinginterestsintheroboticscommunityinbuildingsmallerandmoreagileau-tonomousmicroaerialvehicles(MAVs).Inparticular,themonocularvisual-inertialsystem(VINS)thatconsistsofonlyacameraandaninertialmeasurementunit(IMU)formsagreatminimumsensorsuiteduetoitssuperi

3、orsize,weight,andpower(SWaP)characteristics.Inthispaper,wepresentatightly-couplednonlinearoptimization-basedmonocularVINSestimatorforautonomousrotorcraftMAVs.OurestimatorallowstheMAVtoexecutetrajectoriesat2m/swithrollandpitchanglesupto30degrees.Wepresentextensiv

4、estatisticalFig.1.OurquadrotorexperimentalplatformequippedwithanIntelNUCanalysistoverifytheperformanceofourapproachindifferentcomputer,aMEMSIMU,andacamera.environmentswithvaryingflightspeeds.I.INTRODUCTIONSensor-equippedmicroaerialvehicles(MAVs)withau-environment

5、swithstatisticalanalysisofestimatorandflighttonomousflightcapabilityareidealplatformsformissionsperformance.incomplexandconfinedenvironmentsduetoitssmallsize,Tothebestofourknowledge,wearethefirsttodemon-superiormobility,andminimumoperatorworkload.Whilestrateautonomo

6、usflightwithamonocularVINSsensorsuiteitisobviousthatreducingthesizeoftheMAVwillmakeusingatightly-coupledfusionapproach.Weareabletoitmoresuitableforoperationsinconfinedenvironments,itachieveautonomoustrackingofhighlydynamicaltrajectoriesalsoposestighterSWaPconstrai

7、ns.Asthesizescalesdown,withamaximumvelocityof2m/sandmaximumroll/pitchamonocularvisual-inertialsystem(VINS)thatconsistsofanglescloseto30degrees.Statisticalanalysis(Sect.VI)acameraandalowcostIMUbecomestheonlyviablesuggestsgoodperformancewithdifferentspeedsandinset

8、upduetoitsultralightweightandsmallfootprint.Indifferentenvironments.fact,monocularVINSistheminimumsensorsuitethatNext,wediscussliteraturesinsimilarfieldsinSect.II.Inal

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