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  • 标题:Calibration of a Rorating 2D Laser Range-Finder Using Point-Plane Coistraints
  • 本地全文:下载
  • 作者:Edmond Wai Yan So ; Filippo Basso ; Emanuele Menegatti
  • 期刊名称:Journal of Automation, Mobile Robotics & Intelligent Systems (JAMRIS)
  • 印刷版ISSN:1897-8649
  • 电子版ISSN:2080-2145
  • 出版年度:2013
  • 卷号:7
  • 期号:2
  • 页码:30
  • 出版社:Industrial Research Inst. for Automation and Measurements, Warsaw
  • 摘要:A common method used to obtain 3D range data witha 2D laser range finder is to rotate the sensor. To combinethe 2D range data obtained at different rotaƟonangles into a common 3D coordinate frame, the axis ofrotaƟon relaƟve to the mirror center of the laser rangefinder should be known. This axis of rotaƟon is a line in 3Dspace with four degrees of freedom. This paper describesa method for recovering the parameters of this rotaƟonalaxis, as well as the extrinsic calibraƟon between the rotaƟonalaxis and a camera. It simply requires scanningseveral planar checkerboard paƩerns that are also imagedby a staƟc camera. In parƟcular, we use only correspondencesbetween lines in the laser scans and planes inthe camera images, which can be established easily evenfor non-visible lasers. Furthermore, we show that suchline-on-plane correspondences can be modelled as pointplaneconstraints, a problem studied in the field of robotkinemaƟcs. We use a numerical soluƟon developed forsuch point-plane constraint problems to obtain an iniƟalesƟmate, which is then refined by a nonlinear minimiza-Ɵon that minimizes the ,,line-of-sight" errors in the laserscans and the reprojecƟon errors in the camera image.To validate our proposed method, we give experimentalresults using a LMS-100 mounted on a pan-Ɵlt device ina nodding configuraƟon.
  • 关键词:laser range finder; extrinsic calibraƟon; pointplane;constraints; minimal condiƟons; maximum likelihood;esƟmate
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