Environment map building and localization for robot navigation based on image sequences

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摘要 SLAMisoneofthemostimportantcomponentsinrobotnavigation.ASLAMalgorithmbasedonimagesequencescapturedbyasingledigitalcameraisproposedinthispaper.Bythisalgorithm,SIFTfeaturepointsareselectedandmatchedbetweenimagepairssequentially.Afterthreeimageshavebeencaptured,theenvironment’s3Dmapandthecamera’spositionsareinitializedbasedonmatchedfeaturepointsandintrinsicparametersofthecamera.Arobustmethodisappliedtoestimatethepositionandorientationofthecameraintheforthcomingimages.Finally,arobustadaptivebundleadjustmentalgorithmisadoptedtooptimizetheenvironment’s3Dmapandthecamera’spositionssimultaneously.Resultsofquantitativeandqualitativeexperimentsshowthatouralgorithmcanreconstructtheenvironmentandlocalizethecameraaccuratelyandefficiently.
机构地区 不详
出版日期 2008年04月14日(中国期刊网平台首次上网日期,不代表论文的发表时间)
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