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A Dual-path Adaptive Selection Method for Unmanned Aerial Vehicles

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2025, 30(10), pp.155~162
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : September 22, 2025
  • Accepted : October 20, 2025
  • Published : October 31, 2025

Sooyoung Moon 1

1배재대학교

Accredited

ABSTRACT

Path planning methods play a major role (for example, collision avoidance and time/cost reduction) in unmanned aerial vehicles (UAV) based services. Path planning methods for ground robots cannot be directly applied to UAVs since they only consider 2D free space. A UAV should be able to fly over or fly around obstacles to reduce flight distance. The proposed path planning method is able to compute a ‘fly-over’ path with consideration of location, width and height of obstacles. The proposed path planning method is more efficient than existing Wavefront method when the obstacle height is less than half the width of the obstacle.

Citation status

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