Towards Declarative Specification of Multi-Drone BVLOS Missions for UTM

Miguel Campusano; Niels Heltner; Niclas Molby; Kjeld Jensen; Ulrik Pagh Schultz

doi:10.1109/IRC.2020.00079

Towards Declarative Specification of Multi-Drone BVLOS Missions for UTM

Miguel Campusano^*, Niels Heltner, Niclas Molby, Kjeld Jensen, Ulrik Pagh Schultz

^*Corresponding author for this work

University of Southern Denmark

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

Autonomous drones operate in an airspace populated by other drones and manned aviation. Unmanned traffic management (UTM) systems are necessary to safely and efficiently integrate drones into the existing airspace traffic. Existing UTM systems however cannot resolve airspace conflicts without risking altering critical elements of planned drone operations. To enable the resolution of conflicts while ensuring that drone missions still fulfill their purpose, we propose DOTS, a declarative language to specify drone missions. From this specification, DOTS generates a planning system that can dynamically replan drone flights without compromising the purpose of the mission.

Original language	English
Title of host publication	2020 Fourth IEEE International Conference on Robotic Computing (IRC)
Publisher	IEEE
Publication date	Nov 2020
Pages	430-431
ISBN (Print)	978-1-7281-5238-7
ISBN (Electronic)	9781728152370
DOIs	https://doi.org/10.1109/IRC.2020.00079
Publication status	Published - Nov 2020
Event	4th IEEE International Conference on Robotic Computing, IRC 2020 - Virtual, Taichung, Taiwan Duration: 9. Nov 2020 → 11. Nov 2020

Conference

Conference	4th IEEE International Conference on Robotic Computing, IRC 2020
Country/Territory	Taiwan
City	Virtual, Taichung
Period	09/11/2020 → 11/11/2020

Documents & Links

10.1109/IRC.2020.00079

SDU Link

Check access to the material in SDU Library's search engine

Cite this

@inproceedings{5d0bf18493cf4550b49844ba3444ac13,

title = "Towards Declarative Specification of Multi-Drone BVLOS Missions for UTM",

abstract = "Autonomous drones operate in an airspace populated by other drones and manned aviation. Unmanned traffic management (UTM) systems are necessary to safely and efficiently integrate drones into the existing airspace traffic. Existing UTM systems however cannot resolve airspace conflicts without risking altering critical elements of planned drone operations. To enable the resolution of conflicts while ensuring that drone missions still fulfill their purpose, we propose DOTS, a declarative language to specify drone missions. From this specification, DOTS generates a planning system that can dynamically replan drone flights without compromising the purpose of the mission.",

author = "Miguel Campusano and Niels Heltner and Niclas Molby and Kjeld Jensen and Schultz, {Ulrik Pagh}",

note = "Funding Information: Acknowledgment: This work is part of the HealthDrone project funded by Innovation Fund Denmark. Publisher Copyright: {\textcopyright} 2020 IEEE. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 4th IEEE International Conference on Robotic Computing, IRC 2020 ; Conference date: 09-11-2020 Through 11-11-2020",

year = "2020",

month = nov,

doi = "10.1109/IRC.2020.00079",

language = "English",

isbn = "978-1-7281-5238-7",

pages = "430--431",

booktitle = "2020 Fourth IEEE International Conference on Robotic Computing (IRC)",

publisher = "IEEE",

address = "United States",

}

Campusano, M, Heltner, N, Molby, N, Jensen, K & Schultz, UP 2020, Towards Declarative Specification of Multi-Drone BVLOS Missions for UTM. in 2020 Fourth IEEE International Conference on Robotic Computing (IRC). IEEE, pp. 430-431, 4th IEEE International Conference on Robotic Computing, IRC 2020, Virtual, Taichung, Taiwan, 09/11/2020. https://doi.org/10.1109/IRC.2020.00079

TY - GEN

T1 - Towards Declarative Specification of Multi-Drone BVLOS Missions for UTM

AU - Campusano, Miguel

AU - Heltner, Niels

AU - Molby, Niclas

AU - Jensen, Kjeld

AU - Schultz, Ulrik Pagh

N1 - Funding Information: Acknowledgment: This work is part of the HealthDrone project funded by Innovation Fund Denmark. Publisher Copyright: © 2020 IEEE. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2020/11

Y1 - 2020/11

N2 - Autonomous drones operate in an airspace populated by other drones and manned aviation. Unmanned traffic management (UTM) systems are necessary to safely and efficiently integrate drones into the existing airspace traffic. Existing UTM systems however cannot resolve airspace conflicts without risking altering critical elements of planned drone operations. To enable the resolution of conflicts while ensuring that drone missions still fulfill their purpose, we propose DOTS, a declarative language to specify drone missions. From this specification, DOTS generates a planning system that can dynamically replan drone flights without compromising the purpose of the mission.

AB - Autonomous drones operate in an airspace populated by other drones and manned aviation. Unmanned traffic management (UTM) systems are necessary to safely and efficiently integrate drones into the existing airspace traffic. Existing UTM systems however cannot resolve airspace conflicts without risking altering critical elements of planned drone operations. To enable the resolution of conflicts while ensuring that drone missions still fulfill their purpose, we propose DOTS, a declarative language to specify drone missions. From this specification, DOTS generates a planning system that can dynamically replan drone flights without compromising the purpose of the mission.

U2 - 10.1109/IRC.2020.00079

DO - 10.1109/IRC.2020.00079

M3 - Article in proceedings

AN - SCOPUS:85099389425

SN - 978-1-7281-5238-7

SP - 430

EP - 431

BT - 2020 Fourth IEEE International Conference on Robotic Computing (IRC)

PB - IEEE

T2 - 4th IEEE International Conference on Robotic Computing, IRC 2020

Y2 - 9 November 2020 through 11 November 2020

ER -

Towards Declarative Specification of Multi-Drone BVLOS Missions for UTM

Abstract

Conference

Documents & Links

SDU Link

Fingerprint

Cite this