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

TY - CONF

T1 - Gen4jectory algorithm – 4-D trajectory planning with minimised flight time for multiple rotary-wing UAVs

AU - Panov, Ivan

AU - Boumediene, Mouad

AU - Midtiby, Henrik

AU - Jensen, Kjeld

PY - 2024/9

Y1 - 2024/9

N2 - 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 furtherresearch.

AB - 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 furtherresearch.

KW - 4-D trajectory

KW - U-space

KW - Aircraft performance

KW - UAV

KW - Drones

KW - UAS

M3 - Paper

SP - 242

EP - 252

T2 - 15th ANNUAL INTERNATIONAL MICRO AIR VEHICLE CONFERENCE AND COMPETITION

Y2 - 16 September 2024 through 20 September 2024

ER -