New stereovision self-calibration method and its application in vision guided approaching

  • Authors:
  • Huawei Wang;Ying Sun

  • Affiliations:
  • East China Research Institute of Electronic Engineering, Hefei, P.R. China;East China Research Institute of Electronic Engineering, Hefei, P.R. China

  • Venue:
  • ICIRA'12 Proceedings of the 5th international conference on Intelligent Robotics and Applications - Volume Part III
  • Year:
  • 2012

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Abstract

A simple and flexible self-calibration method is proposed for an active stereovision platform. It calibrates the parameters implicitly including the intrinsic and extrinsic ones of the visual system with a series of relative positions formed by translational motions of a selected point on the end-effector of a manipulator. A new visual measurement model based on the calibrated parameters is presented to obtain the relative position of an object with a rectangle mark. Then a position-based visual control system with end-effector closed loop is employed for vision guided approaching with the manipulator. Experiments are provided to validate the proposed self-calibration and measurement methods.