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

Ivan Panov; Mouad Boumediene; Henrik Midtiby; Kjeld Jensen

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

Ivan Panov, Mouad Boumediene, Henrik Midtiby, Kjeld Jensen

Department of Business Development and Technology

Research output: Contribution to conference › Paper › Research › peer-review

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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
research.

Original language	English
Publication date	Sept 2024
Publication status	Published - Sept 2024
Event	15th ANNUAL INTERNATIONAL MICRO AIR VEHICLE CONFERENCE AND COMPETITION - Bristol, United Kingdom Duration: 16 Sept 2024 → 20 Sept 2024 https://www.imavs.org/imav2024-proceedings/

Conference

Conference	15th ANNUAL INTERNATIONAL MICRO AIR VEHICLE CONFERENCE AND COMPETITION
Country/Territory	United Kingdom
City	Bristol
Period	16/09/2024 → 20/09/2024
Internet address	https://www.imavs.org/imav2024-proceedings/

Keywords

4-D trajectory
U-space
Aircraft performance
UAV
Drones
UAS

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

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 furtherresearch.",

keywords = "4-D trajectory, U-space, Aircraft performance, UAV, Drones, UAS",

author = "Ivan Panov and Mouad Boumediene and Henrik Midtiby and Kjeld Jensen",

year = "2024",

month = sep,

language = "English",

pages = "242--252",

note = "15th ANNUAL INTERNATIONAL MICRO AIR VEHICLE CONFERENCE AND COMPETITION, IMAV2024-25 ; Conference date: 16-09-2024 Through 20-09-2024",

url = "https://www.imavs.org/imav2024-proceedings/",

}

Gen4jectory algorithm – 4-D trajectory planning with minimised flight time for multiple rotary-wing UAVs. / Panov, Ivan; Boumediene, Mouad; Midtiby, Henrik et al.
2024. 242-252 Paper presented at 15th ANNUAL INTERNATIONAL MICRO AIR VEHICLE CONFERENCE AND COMPETITION, Bristol, United Kingdom.

Research output: Contribution to conference › Paper › Research › peer-review

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 -

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

Abstract

Conference

Keywords

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