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UAV Landing Based on the Optical Flow Videonavigation.

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  • 1Institute for Information Transmission Problems RAS, Bolshoy Karetny per. 19, Build.1, Moscow, 127051, Russia. bmiller@iitp.ru.

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Summary
This summary is machine-generated.

Accurate altitude determination is crucial for unmanned aerial vehicle (UAV) landings. This study proposes using optical flow (OF) with adaptive camera resolution to estimate altitude and velocities, improving landing control.

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Area of Science:

  • Robotics
  • Aerospace Engineering
  • Computer Vision

Background:

  • Automatic landing of unmanned aerial vehicles (UAVs) presents significant challenges, particularly in precise altitude determination during the final descent phase.
  • Current altimeters may exhibit unacceptable measurement errors at low altitudes, hindering reliable landing control algorithms.
  • Optical flow (OF) offers a potential solution for estimating UAV velocities but requires accurate altitude and camera parameters.

Purpose of the Study:

  • To develop and test an algorithm for estimating UAV altitude and velocities using optical flow (OF) by dynamically adjusting camera parameters.
  • To address the challenge of varying optical flow sensitivity to camera resolution and scene shift during descent.
  • To provide a robust solution for altitude estimation, especially in the event of altimeter failure.

Main Methods:

  • Utilizing optical flow (OF) derived from onboard camera image sequences to estimate linear and angular UAV velocities.
  • Implementing an adaptive camera control strategy, specifically adjusting camera resolution via pixel averaging.
  • Coordinating camera parameter adjustments with theoretically estimated and measured OF velocities to maintain accuracy.
  • Testing the developed algorithms with real-world flight data, including video and telemetry recordings from various runway approaches.

Main Results:

  • Demonstrated the feasibility of estimating UAV velocities and altitude using optical flow (OF) with adaptive camera resolution.
  • Showcased the effectiveness of the proposed method in overcoming the challenges posed by changing flight altitudes and their impact on OF accuracy.
  • Validated the algorithm's performance through real flight tests, confirming its potential for reliable landing maneuvers.

Conclusions:

  • The proposed method of using optical flow (OF) with adaptive camera resolution provides a viable approach for accurate UAV altitude estimation and velocity determination.
  • This technique enhances the robustness of automatic landing systems, particularly when dealing with sensor inaccuracies or failures.
  • The findings contribute to the development of safer and more reliable autonomous landing capabilities for unmanned aerial vehicles.