Gen4jectory algorithm – 4-D trajectory planning with minimised flight time for multiple rotary-wing UAVs

The paper proposes an innovative Gen4jectory algorithm that allows planning multiple 4-D trajectories considering unique aircraft performance data of the uncrewed rotary-wing air traffic. The algorithm guarantees zero cases of Loss of Separation (LoS). We describe the physical model of drone (Unmanned Aerial Vehicle (UAV)) motion, map representation, pathfinding technique, 4-D trajectory planning, check of LoS, experimental setup and simulation results. Finally, we discuss the promising ways of further<br/>research.

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Published
2024-09-01
Primary Topic
Robotic Path Planning Algorithms
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article

Gen4jectory algorithm – 4-D trajectory planning with minimised flight time for multiple rotary-wing UAVs

Kjeld Jensen, Henrik Skov Midtiby, Mouad Boumediene, Ivan Panov
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Robotic Path Planning Algorithms
article

Gen4jectory algorithm – 4-D trajectory planning with minimised flight time for multiple rotary-wing UAVs

Kjeld Jensen, Henrik Skov Midtiby, Mouad Boumediene, Ivan Panov
article en

Abstract

The paper proposes an innovative Gen4jectory algorithm that allows planning multiple 4-D trajectories considering unique aircraft performance data of the uncrewed rotary-wing air traffic. The algorithm guarantees zero cases of Loss of Separation (LoS). We describe the physical model of drone (Unmanned Aerial Vehicle (UAV)) motion, map representation, pathfinding technique, 4-D trajectory planning, check of LoS, experimental setup and simulation results. Finally, we discuss the promising ways of further<br/>research.

University of Southern Denmark (DK), Aarhus University (DK)
Openalex Percentile: Top 69%
Robotic Path Planning Algorithms
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