UAV VISUAL AUTOLOCALIZATON BASED ON AUTOMATIC LANDMARK RECOGNITION

@inproceedings{Filho2017UAVVA,
  title={UAV VISUAL AUTOLOCALIZATON BASED ON AUTOMATIC LANDMARK RECOGNITION},
  author={Paulo R. S. Silva Filho and Elcio Hideiti Shiguemori and Osamu Saotome},
  year={2017}
}
Deploying an autonomous unmanned aerial vehicle in GPS-denied areas is a highly discussed problem in the scientific community. There are several approaches being developed, but the main strategies yet considered are computer vision based navigation systems. This work presents a new real-time computer-vision position estimator for UAV navigation. The estimator uses images captured during flight to recognize specific, well-known, landmarks in order to estimate the latitude and longitude of the… CONTINUE READING

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Autonomous long-range navigation in GNSS-denied environment with low-cost UAV platform

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