A Practical Visual Servo Control for an Unmanned Aerial Vehicle

By Nicolas Guenard, Tarek Hamel, Robert E. Mahony. IEEE Transactions on robotics, 2008

338 citations recorded by the source corpus.

An image-based visual servo control is presented for an unmanned aerial vehicle (UAV) capable of stationary or quasi-stationary flight with the camera mounted onboard the vehicle. The target considered consists of a finite set of stationary and disjoint points lying in a plane. Control of the position and orientation dynamics is decoupled using a visual error based on spherical centroid data, along with estimations of the linear velocity and the gravitational inertial direction extracted from image features and an embedded inertial measurement unit. The visual error used compensates for poor conditioning of the image Jacobian matrix by introducing a nonhomogeneous gain term adapted to the visual sensitivity of the error measurements. A nonlinear controller, that ensures exponential convergence of the system considered, is derived for the full dynamics of the system using control Lyapunov function design techniques. Experimental results on a quadrotor UAV, developed by the French Atomic Energy Commission, demonstrate the robustness and performance of the proposed control strategy.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/cacadab2417b665c71790ac7000e9ceda45aa5ce

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

  1. Moses Bangura
  2. Robert E. Mahony
  3. George Nikolakopoulos
  4. Christoforos Kanellakis
  5. Tarek Hamel
  6. Farid Kendoul
  7. Manuel Gil Ortega
  8. Francisco Rodriguez Rubio

In Computer Vision and Pattern Recognition

  1. George Nikolakopoulos
  2. Christoforos Kanellakis
  3. Farid Kendoul
  4. Robert E. Mahony
  5. Tarek Hamel
  6. Kartik Mohta
  7. B. Erginer
  8. Vijay R. Kumar

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