Range identification for perspective vision systems

نویسندگان

  • Warren E. Dixon
  • Yongchun Fang
  • Darren M. Dawson
  • Terrance J. Flynn
چکیده

In this paper, a new continuous observer is developed to determine range information (and hence the 3dimensional (3D) coordinates) of an object feature moving with affine motion dynamics (or the more general Riccati motion dynamics) with known motion parameters. The unmeasurable range information is determined from a single camera provided an observability condition is satisfied that has physical significance. To develop the observer, the perspective system is expressed in terms of the nonlinear feature dynamics. The structure of the proposed observer is inspired by recent disturbance observer results. The proposed technique facilitates a Lyapunovbased analysis that is less complex than the sliding-mode based analysis derived for recent discontinuous observer designs. The analysis demonstrates that the 3D taskspace coordinates of the feature point can be asymptotically identified.

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عنوان ژورنال:
  • IEEE Trans. Automat. Contr.

دوره 48  شماره 

صفحات  -

تاریخ انتشار 2003