An Exponential Class of Model-Free Visual Servoing Controllers in the Presence of Uncertain Camera Calibration

Abstract

In recent papers, a new class of model-free (i.e., the 3-dimensional task-space model of the object is unknown) visual servoing methods was proposed that are based on the estimation of the relative camera orientation between two views of an object. By utilizing homography-based techniques, the control problem is decoupled by separating the rotation and translation components. A single controller is used to control the rotation component, and the class members consist of various translation controllers. Each of the current class members has been proven to yield asymptotic regulation in the presence of uncertainty in the intrinsic and extrinsic calibration parameters. New control development and stability analysis techniques are crafted in this paper to develop a new translation controller that yields exponential rotation and translation regulation in the presence of uncertainty in the intrinsic and extrinsic calibration parameters. Extensions to this research can be used to yield exponential regulation by the other translation controllers.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2003
Accession Number
ADA478508

Entities

People

  • D. M. Dawson
  • Jiayu Chen
  • W. E. Dixon
  • Yuting Fang

Organizations

  • Clemson University

Tags

Communities of Interest

  • Air Platforms
  • Autonomy

DTIC Thesaurus Topics

  • Calibration
  • Computations
  • Computer Vision
  • Control
  • Control Systems
  • Coordinate Systems
  • Dynamics
  • Engineering
  • Information Operations
  • Law
  • Orientation (Direction)
  • Robotics
  • Robots
  • Rotation
  • Translations
  • Two Dimensional
  • Visual Servoing

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computer Vision.

Technology Areas

  • Space
  • Space - Spacecraft Maneuvers