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Related Experiment Video

Updated: Feb 8, 2026

Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing
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Optimal Polygon Decomposition for UAV Survey Coverage Path Planning in Wind.

Matthew Coombes1, Tom Fletcher2, Wen-Hua Chen3

  • 1Department of Automotive and Aeronautical Engineering, Loughborough University, Loughborough LE11 3TU, UK. ttmjc2@lboro.ac.uk.

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|July 5, 2018
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Summary
This summary is machine-generated.

This study introduces a new aerial survey path planning method for fixed-wing Unmanned Aerial Vehicles (UAVs). The approach significantly reduces flight time by optimizing for wind conditions and survey area decomposition.

Keywords:
Boustrophedon pathscoverage path planning (CPP)dynamic programmingfixed wing UAVpolygon decompositionremote sensing

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Area of Science:

  • Robotics
  • Aerospace Engineering
  • Surveying

Background:

  • Traditional coverage path planning methods often overlook specific aircraft constraints.
  • Fixed-wing Unmanned Aerial Vehicle (UAV) aerial surveys require specialized path planning for efficiency.

Purpose of the Study:

  • To develop a novel coverage path planning method for fixed-wing UAV aerial surveys.
  • To specifically reduce the total flight time of aerial surveys.

Main Methods:

  • Incorporating wind speed into the flight time model.
  • Allowing flight paths outside the region of interest polygon.
  • Decomposing survey regions into convex polygons for efficient traversal.

Main Results:

  • Wind significantly impacts survey flight time, especially for small UAVs.
  • The proposed method demonstrates a significant reduction in flight time compared to existing techniques.
  • Flying perpendicular to wind direction can offer a flight time advantage.

Conclusions:

  • The developed method offers a more efficient approach to fixed-wing UAV aerial survey path planning.
  • Accounting for wind and aircraft non-constraint within the polygon is crucial for optimizing survey time.
  • This technique is particularly effective for small, slow-speed UAVs where wind effects are pronounced.