An event-driven based multiple scenario approach for dynamic and uncertain uav mission planning

Ke Shang; Liangjun Ke; Zuren Feng; Stephen Karungaru

doi:10.1007/978-3-319-20472-7_33

An event-driven based multiple scenario approach for dynamic and uncertain uav mission planning

Ke Shang
, Liangjun Ke
, Zuren Feng
, Stephen Karungaru

Faculty of Electronic and Information Engineering

Xi'an Jiaotong University
Tokushima University

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

2 Scopus citations

Abstract

In this paper, a Dynamic and Uncertain Unmanned Aerial Vehicle Mission Planning(DUUMP) is considered. New targets reveal stochastically during the mission execution and the surveillance benefit of each target is a random variable. To deal with this problem, an Event-driven based Multiple Scenario Approach(MSA) is developed. Experiment studies show that the Event-driven based MSA can solve the DUUMP effectively and efficiently with quick system responsiveness and high quality solution, which shows its practical value for real world applications.

Original language	English
Title of host publication	Advances in Swarm and Computational Intelligence - 6th International Conference, ICSI 2015 held in conjunction with the 2nd BRICS Congress, CCI 2015, Proceedings
Editors	Ying Tan, Fernando Buarque, Andries Engelbrecht, Alexander Gelbukh, Swagatam Das, Yuhui Shi
Publisher	Springer Verlag
Pages	308-316
Number of pages	9
ISBN (Print)	9783319204710
DOIs	https://doi.org/10.1007/978-3-319-20472-7_33
State	Published - 2015
Event	6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the 2nd BRICS Congress on Computational Intelligence, CCI 2015 - Beijing, China Duration: 25 Jun 2015 → 28 Jun 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9141
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the 2nd BRICS Congress on Computational Intelligence, CCI 2015
Country/Territory	China
City	Beijing
Period	25/06/15 → 28/06/15

Keywords

Dynamism
Eventdriven
Multiple scenario approach
UAV mission planning
Uncertainty

Access to Document

10.1007/978-3-319-20472-7_33

Cite this

Shang, K., Ke, L., Feng, Z., & Karungaru, S. (2015). An event-driven based multiple scenario approach for dynamic and uncertain uav mission planning. In Y. Tan, F. Buarque, A. Engelbrecht, A. Gelbukh, S. Das, & Y. Shi (Eds.), Advances in Swarm and Computational Intelligence - 6th International Conference, ICSI 2015 held in conjunction with the 2nd BRICS Congress, CCI 2015, Proceedings (pp. 308-316). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9141). Springer Verlag. https://doi.org/10.1007/978-3-319-20472-7_33

Shang, Ke ; Ke, Liangjun ; Feng, Zuren et al. / An event-driven based multiple scenario approach for dynamic and uncertain uav mission planning. Advances in Swarm and Computational Intelligence - 6th International Conference, ICSI 2015 held in conjunction with the 2nd BRICS Congress, CCI 2015, Proceedings. editor / Ying Tan ; Fernando Buarque ; Andries Engelbrecht ; Alexander Gelbukh ; Swagatam Das ; Yuhui Shi. Springer Verlag, 2015. pp. 308-316 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "An event-driven based multiple scenario approach for dynamic and uncertain uav mission planning",

abstract = "In this paper, a Dynamic and Uncertain Unmanned Aerial Vehicle Mission Planning(DUUMP) is considered. New targets reveal stochastically during the mission execution and the surveillance benefit of each target is a random variable. To deal with this problem, an Event-driven based Multiple Scenario Approach(MSA) is developed. Experiment studies show that the Event-driven based MSA can solve the DUUMP effectively and efficiently with quick system responsiveness and high quality solution, which shows its practical value for real world applications.",

keywords = "Dynamism, Eventdriven, Multiple scenario approach, UAV mission planning, Uncertainty",

author = "Ke Shang and Liangjun Ke and Zuren Feng and Stephen Karungaru",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the 2nd BRICS Congress on Computational Intelligence, CCI 2015 ; Conference date: 25-06-2015 Through 28-06-2015",

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isbn = "9783319204710",

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editor = "Ying Tan and Fernando Buarque and Andries Engelbrecht and Alexander Gelbukh and Swagatam Das and Yuhui Shi",

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Shang, K, Ke, L, Feng, Z & Karungaru, S 2015, An event-driven based multiple scenario approach for dynamic and uncertain uav mission planning. in Y Tan, F Buarque, A Engelbrecht, A Gelbukh, S Das & Y Shi (eds), Advances in Swarm and Computational Intelligence - 6th International Conference, ICSI 2015 held in conjunction with the 2nd BRICS Congress, CCI 2015, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9141, Springer Verlag, pp. 308-316, 6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the 2nd BRICS Congress on Computational Intelligence, CCI 2015, Beijing, China, 25/06/15. https://doi.org/10.1007/978-3-319-20472-7_33

An event-driven based multiple scenario approach for dynamic and uncertain uav mission planning. / Shang, Ke; Ke, Liangjun; Feng, Zuren et al.
Advances in Swarm and Computational Intelligence - 6th International Conference, ICSI 2015 held in conjunction with the 2nd BRICS Congress, CCI 2015, Proceedings. ed. / Ying Tan; Fernando Buarque; Andries Engelbrecht; Alexander Gelbukh; Swagatam Das; Yuhui Shi. Springer Verlag, 2015. p. 308-316 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9141).

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

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AU - Shang, Ke

AU - Ke, Liangjun

AU - Feng, Zuren

AU - Karungaru, Stephen

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2015.

PY - 2015

Y1 - 2015

N2 - In this paper, a Dynamic and Uncertain Unmanned Aerial Vehicle Mission Planning(DUUMP) is considered. New targets reveal stochastically during the mission execution and the surveillance benefit of each target is a random variable. To deal with this problem, an Event-driven based Multiple Scenario Approach(MSA) is developed. Experiment studies show that the Event-driven based MSA can solve the DUUMP effectively and efficiently with quick system responsiveness and high quality solution, which shows its practical value for real world applications.

AB - In this paper, a Dynamic and Uncertain Unmanned Aerial Vehicle Mission Planning(DUUMP) is considered. New targets reveal stochastically during the mission execution and the surveillance benefit of each target is a random variable. To deal with this problem, an Event-driven based Multiple Scenario Approach(MSA) is developed. Experiment studies show that the Event-driven based MSA can solve the DUUMP effectively and efficiently with quick system responsiveness and high quality solution, which shows its practical value for real world applications.

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KW - Eventdriven

KW - Multiple scenario approach

KW - UAV mission planning

KW - Uncertainty

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BT - Advances in Swarm and Computational Intelligence - 6th International Conference, ICSI 2015 held in conjunction with the 2nd BRICS Congress, CCI 2015, Proceedings

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A2 - Buarque, Fernando

A2 - Engelbrecht, Andries

A2 - Gelbukh, Alexander

A2 - Das, Swagatam

A2 - Shi, Yuhui

PB - Springer Verlag

T2 - 6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the 2nd BRICS Congress on Computational Intelligence, CCI 2015

Y2 - 25 June 2015 through 28 June 2015

ER -

Shang K, Ke L, Feng Z, Karungaru S. An event-driven based multiple scenario approach for dynamic and uncertain uav mission planning. In Tan Y, Buarque F, Engelbrecht A, Gelbukh A, Das S, Shi Y, editors, Advances in Swarm and Computational Intelligence - 6th International Conference, ICSI 2015 held in conjunction with the 2nd BRICS Congress, CCI 2015, Proceedings. Springer Verlag. 2015. p. 308-316. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-20472-7_33

An event-driven based multiple scenario approach for dynamic and uncertain uav mission planning

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