State Estimation using Optical Flow from Parallax-Weighted Feature Tracking

@inproceedings{Kehoe2006StateEU,
  title={State Estimation using Optical Flow from Parallax-Weighted Feature Tracking},
  author={Joseph Kehoe and A. Watkins and Ryan S. Causey and Rick Lind},
  year={2006}
}
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
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