Vision-Based Estimation of Airborne Target Pseudobearing Rate using Hidden Markov Model Filters

@article{Lai2013VisionBasedEO,
  title={Vision-Based Estimation of Airborne Target Pseudobearing Rate using Hidden Markov Model Filters},
  author={John Lai and Jason J. Ford and Peter O'Shea and Luis Mej{\'i}as Alvarez},
  journal={IEEE Transactions on Aerospace and Electronic Systems},
  year={2013},
  volume={49},
  pages={2129-2145}
}
The problem of estimating pseudobearing rate information of an airborne target based on measurements from a vision sensor is considered. Novel image speed and heading angle estimators are presented that exploit image morphology, hidden Markov model (HMM) filtering, and relative entropy rate (RER) concepts to allow pseudobearing rate information to be… CONTINUE READING