Using a Semi-autonomous Drone Swarm to Support Wildfire Management – A Concept of Operations Development Study

Hannu Karvonen; Eija Honkavaara; Juha Röning; Vadim Kramar; Jukka Sassi

doi:10.1007/978-3-031-35389-5_17

Using a Semi-autonomous Drone Swarm to Support Wildfire Management – A Concept of Operations Development Study

Hannu Karvonen (Corresponding author), Eija Honkavaara, Juha Röning, Vadim Kramar, Jukka Sassi

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

1 Citation (Scopus)

232 Downloads (Pure)

Abstract

This paper provides insights into a human factors-oriented Concept of Operations (ConOps), which can be applied for future semi-autonomous drone swarms to support the management of wildfires. The results provide, firstly, an overview of the current practices to manage wildfires in Finland. Secondly, some of the current challenges and future visions about drone usage in a wildfire situation are presented. Third, a description of the key elements of the developed future ConOps for operating a drone swarm to support the combat of wildfires is given. The ConOps has been formulated based on qualitative research, which included a literature review, seven subject matter expert interviews and a workshop with 40 professionals in the domain. Many elements of this ConOps may also be applied to a variety of other swarm robotics operations than only wildfire management. Finally, as the development of the ConOps is still in its first stage, several further avenues for research and development are proposed.

Original language	English
Title of host publication	Engineering Psychology and Cognitive Ergonomics
Subtitle of host publication	20th International Conference, EPCE 2023 Held as Part of the 25th HCI International Conference, HCII 2023 Copenhagen, Denmark, July 23–28, 2023 Proceedings, Part II
Editors	Don Harris, Wen-Chin Li
Place of Publication	Cham
Publisher	Springer
Pages	235-253
Number of pages	19
ISBN (Electronic)	978-3-031-35389-5
ISBN (Print)	978-3-031-35388-8
DOIs	https://doi.org/10.1007/978-3-031-35389-5_17
Publication status	Published - 2023
MoE publication type	A4 Article in a conference publication
Event	20th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2023, held as part of HCI International 2023 - Copenhagen, Denmark Duration: 23 Jul 2023 → 28 Jul 2023

Publication series

Series	Lecture Notes in Computer Science
Volume	14018
ISSN	0302-9743

Conference

Conference	20th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2023, held as part of HCI International 2023
Country/Territory	Denmark
City	Copenhagen
Period	23/07/23 → 28/07/23

Funding

Keywords

Drones
Concept of Operations
Human Factors
Firefighting
Wildfires

Access to Document

10.1007/978-3-031-35389-5_17

Cite this

Karvonen, H., Honkavaara, E., Röning, J., Kramar, V., & Sassi, J. (2023). Using a Semi-autonomous Drone Swarm to Support Wildfire Management – A Concept of Operations Development Study. In D. Harris, & W.-C. Li (Eds.), Engineering Psychology and Cognitive Ergonomics: 20th International Conference, EPCE 2023 Held as Part of the 25th HCI International Conference, HCII 2023 Copenhagen, Denmark, July 23–28, 2023 Proceedings, Part II (pp. 235-253). Springer. https://doi.org/10.1007/978-3-031-35389-5_17

Karvonen, Hannu ; Honkavaara, Eija ; Röning, Juha et al. / Using a Semi-autonomous Drone Swarm to Support Wildfire Management – A Concept of Operations Development Study. Engineering Psychology and Cognitive Ergonomics: 20th International Conference, EPCE 2023 Held as Part of the 25th HCI International Conference, HCII 2023 Copenhagen, Denmark, July 23–28, 2023 Proceedings, Part II. editor / Don Harris ; Wen-Chin Li. Cham : Springer, 2023. pp. 235-253 (Lecture Notes in Computer Science, Vol. 14018).

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abstract = "This paper provides insights into a human factors-oriented Concept of Operations (ConOps), which can be applied for future semi-autonomous drone swarms to support the management of wildfires. The results provide, firstly, an overview of the current practices to manage wildfires in Finland. Secondly, some of the current challenges and future visions about drone usage in a wildfire situation are presented. Third, a description of the key elements of the developed future ConOps for operating a drone swarm to support the combat of wildfires is given. The ConOps has been formulated based on qualitative research, which included a literature review, seven subject matter expert interviews and a workshop with 40 professionals in the domain. Many elements of this ConOps may also be applied to a variety of other swarm robotics operations than only wildfire management. Finally, as the development of the ConOps is still in its first stage, several further avenues for research and development are proposed.",

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Karvonen, H, Honkavaara, E, Röning, J, Kramar, V & Sassi, J 2023, Using a Semi-autonomous Drone Swarm to Support Wildfire Management – A Concept of Operations Development Study. in D Harris & W-C Li (eds), Engineering Psychology and Cognitive Ergonomics: 20th International Conference, EPCE 2023 Held as Part of the 25th HCI International Conference, HCII 2023 Copenhagen, Denmark, July 23–28, 2023 Proceedings, Part II. Springer, Cham, Lecture Notes in Computer Science, vol. 14018, pp. 235-253, 20th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2023, held as part of HCI International 2023, Copenhagen, Denmark, 23/07/23. https://doi.org/10.1007/978-3-031-35389-5_17

Using a Semi-autonomous Drone Swarm to Support Wildfire Management – A Concept of Operations Development Study. / Karvonen, Hannu (Corresponding author); Honkavaara, Eija; Röning, Juha et al.
Engineering Psychology and Cognitive Ergonomics: 20th International Conference, EPCE 2023 Held as Part of the 25th HCI International Conference, HCII 2023 Copenhagen, Denmark, July 23–28, 2023 Proceedings, Part II. ed. / Don Harris; Wen-Chin Li. Cham: Springer, 2023. p. 235-253 (Lecture Notes in Computer Science, Vol. 14018).

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

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AU - Karvonen, Hannu

AU - Honkavaara, Eija

AU - Röning, Juha

AU - Kramar, Vadim

AU - Sassi, Jukka

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Y1 - 2023

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AB - This paper provides insights into a human factors-oriented Concept of Operations (ConOps), which can be applied for future semi-autonomous drone swarms to support the management of wildfires. The results provide, firstly, an overview of the current practices to manage wildfires in Finland. Secondly, some of the current challenges and future visions about drone usage in a wildfire situation are presented. Third, a description of the key elements of the developed future ConOps for operating a drone swarm to support the combat of wildfires is given. The ConOps has been formulated based on qualitative research, which included a literature review, seven subject matter expert interviews and a workshop with 40 professionals in the domain. Many elements of this ConOps may also be applied to a variety of other swarm robotics operations than only wildfire management. Finally, as the development of the ConOps is still in its first stage, several further avenues for research and development are proposed.

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Y2 - 23 July 2023 through 28 July 2023

ER -

Karvonen H, Honkavaara E, Röning J, Kramar V , Sassi J. Using a Semi-autonomous Drone Swarm to Support Wildfire Management – A Concept of Operations Development Study. In Harris D, Li WC, editors, Engineering Psychology and Cognitive Ergonomics: 20th International Conference, EPCE 2023 Held as Part of the 25th HCI International Conference, HCII 2023 Copenhagen, Denmark, July 23–28, 2023 Proceedings, Part II. Cham: Springer. 2023. p. 235-253. (Lecture Notes in Computer Science, Vol. 14018). doi: 10.1007/978-3-031-35389-5_17

Using a Semi-autonomous Drone Swarm to Support Wildfire Management – A Concept of Operations Development Study

Abstract

Publication series

Conference

Funding

Keywords

Access to Document

Other files and links

Fingerprint

FireMan: Unmanned aerial systems based solutions for real-time management of wildfires

FUAVE: Finnish UAV Ecosystem

Cite this

Using a Semi-autonomous Drone Swarm to Support Wildfire Management – A Concept of Operations Development Study

Abstract

Publication series

Conference

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Projects

FireMan: Unmanned aerial systems based solutions for real-time management of wildfires

FUAVE: Finnish UAV Ecosystem

Cite this