Euclidean Position Estimation of Static Features Using a Moving Uncalibrated Camera


Nath N., Dawson D. M. , Tatlicioglu E.

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, vol.20, pp.480-485, 2012 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 20
  • Publication Date: 2012
  • Doi Number: 10.1109/tcst.2011.2120610
  • Title of Journal : IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
  • Page Numbers: pp.480-485

Abstract

In this paper, a novel Euclidean position estimation technique using a single uncalibrated camera mounted on amoving platform is developed to asymptotically recover the 3-D Euclidean position of static object features. The position of the moving platform is assumed to be measurable, and a second object with known 3-D Euclidean coordinates relative to the world frame is considered to be available a priori. To account for the unknown camera calibration parameters and to estimate the unknown 3-D Euclidean coordinates, an adaptive least squares estimation strategy is employed based on prediction error formulations and a Lyapunov-type stability analysis. The developed estimator is shown to recover the 3-D Euclidean position of the unknown object features despite the lack of knowledge of the camera calibration parameters. Numerical simulation results along with experimental results are presented to illustrate the effectiveness of the proposed algorithm.