State Estimation using Optical Flow from Parallax-Weighted Feature Tracking

  title={State Estimation using Optical Flow from Parallax-Weighted Feature Tracking},
  author={Joseph Kehoe and A. Watkins and Ryan S. Causey and Rick Lind},
Computer vision presents an attractive sensor option for mi cro aerial vehicle (MAV) applications due to the payload and performance restrictions imposed by typica l mission scenarios. Optical flow can be measured by tracking the perceived motion of feature points between s uccessive image frames. This perceived featurepoint motion yields information regarding vehicle motion as described through geometric relationships. This paper presents an optimization-based approach to estimate aircraft… CONTINUE READING
Highly Cited
This paper has 46 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 18 extracted citations


Publications referenced by this paper.
Showing 1-8 of 8 references

Partial Aircraft State Estimation from Visual Motion Using the Subspace Constraints Approach

  • P. Gurfil, H. Rotstein
  • Journal of Guidance , Control , and Dynamics
  • 2001

Vision-Based UAV Fl

  • Z. 4He, R. V. Iyer, P. R. Chandler
  • th IAPR International Conference on Pattern…
  • 1994

Aircraft - Camera Equations of Motion

  • R. Causey, R. Lind
  • AIAA Journal of Aircraft , In Preparation

Similar Papers

Loading similar papers…