WiP abstract: Optimal multi-agent path planning for fast inverse modeling in UAV-based flood sensing applications

Mohamed Abdelkader; Mohammad Shaqura; Mehdi Ghommem; Nathan Collier; Victor Calo; Christian Claudel

doi:10.1109/ICCPS.2014.6843725

WiP abstract: Optimal multi-agent path planning for fast inverse modeling in UAV-based flood sensing applications

Mohamed Abdelkader, Mohammad Shaqura, Mehdi Ghommem, Nathan Collier, Victor Calo, Christian Claudel

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

2 Scopus citations

Abstract

Floods are one of the most commonly occurring natural disasters, and caused more than 120,000 fatalities in the world between 1991 and 2005. Most of these casualties are caused by the lack of a reliable real-time flash flood monitoring system. Given the area to monitor, unmanned aerial vehicles (UAVs) appear as the most promising solutions for this task.

Original language	English
Title of host publication	2014 ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2014
Publisher	IEEE Computer Society
Pages	212
Number of pages	1
ISBN (Print)	9781479949311
DOIs	https://doi.org/10.1109/ICCPS.2014.6843725
State	Published - 2014
Externally published	Yes
Event	5th IEEE/ACM International Conference on Cyber-Physical Systems, ICCPS 2014 - Berlin, Germany Duration: Apr 14 2014 → Apr 17 2014

Publication series

Name	2014 ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2014

Conference

Conference	5th IEEE/ACM International Conference on Cyber-Physical Systems, ICCPS 2014
Country/Territory	Germany
City	Berlin
Period	04/14/14 → 04/17/14

Access to Document

10.1109/ICCPS.2014.6843725

Cite this

Abdelkader, M., Shaqura, M., Ghommem, M., Collier, N., Calo, V., & Claudel, C. (2014). WiP abstract: Optimal multi-agent path planning for fast inverse modeling in UAV-based flood sensing applications. In 2014 ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2014 (pp. 212). Article 6843725 (2014 ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2014). IEEE Computer Society. https://doi.org/10.1109/ICCPS.2014.6843725

Abdelkader, Mohamed ; Shaqura, Mohammad ; Ghommem, Mehdi et al. / WiP abstract : Optimal multi-agent path planning for fast inverse modeling in UAV-based flood sensing applications. 2014 ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2014. IEEE Computer Society, 2014. pp. 212 (2014 ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2014).

@inproceedings{838a44060426419db6e6bf99fe4d81ba,

title = "WiP abstract: Optimal multi-agent path planning for fast inverse modeling in UAV-based flood sensing applications",

abstract = "Floods are one of the most commonly occurring natural disasters, and caused more than 120,000 fatalities in the world between 1991 and 2005. Most of these casualties are caused by the lack of a reliable real-time flash flood monitoring system. Given the area to monitor, unmanned aerial vehicles (UAVs) appear as the most promising solutions for this task.",

author = "Mohamed Abdelkader and Mohammad Shaqura and Mehdi Ghommem and Nathan Collier and Victor Calo and Christian Claudel",

year = "2014",

doi = "10.1109/ICCPS.2014.6843725",

language = "English",

isbn = "9781479949311",

series = "2014 ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2014",

publisher = "IEEE Computer Society",

pages = "212",

booktitle = "2014 ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2014",

note = "5th IEEE/ACM International Conference on Cyber-Physical Systems, ICCPS 2014 ; Conference date: 14-04-2014 Through 17-04-2014",

}

Abdelkader, M, Shaqura, M, Ghommem, M, Collier, N, Calo, V & Claudel, C 2014, WiP abstract: Optimal multi-agent path planning for fast inverse modeling in UAV-based flood sensing applications. in 2014 ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2014., 6843725, 2014 ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2014, IEEE Computer Society, pp. 212, 5th IEEE/ACM International Conference on Cyber-Physical Systems, ICCPS 2014, Berlin, Germany, 04/14/14. https://doi.org/10.1109/ICCPS.2014.6843725

WiP abstract: Optimal multi-agent path planning for fast inverse modeling in UAV-based flood sensing applications. / Abdelkader, Mohamed; Shaqura, Mohammad; Ghommem, Mehdi et al.
2014 ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2014. IEEE Computer Society, 2014. p. 212 6843725 (2014 ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2014).

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

TY - GEN

T1 - WiP abstract

T2 - 5th IEEE/ACM International Conference on Cyber-Physical Systems, ICCPS 2014

AU - Abdelkader, Mohamed

AU - Shaqura, Mohammad

AU - Ghommem, Mehdi

AU - Collier, Nathan

AU - Calo, Victor

AU - Claudel, Christian

PY - 2014

Y1 - 2014

N2 - Floods are one of the most commonly occurring natural disasters, and caused more than 120,000 fatalities in the world between 1991 and 2005. Most of these casualties are caused by the lack of a reliable real-time flash flood monitoring system. Given the area to monitor, unmanned aerial vehicles (UAVs) appear as the most promising solutions for this task.

AB - Floods are one of the most commonly occurring natural disasters, and caused more than 120,000 fatalities in the world between 1991 and 2005. Most of these casualties are caused by the lack of a reliable real-time flash flood monitoring system. Given the area to monitor, unmanned aerial vehicles (UAVs) appear as the most promising solutions for this task.

UR - http://www.scopus.com/inward/record.url?scp=84904497672&partnerID=8YFLogxK

U2 - 10.1109/ICCPS.2014.6843725

DO - 10.1109/ICCPS.2014.6843725

M3 - Conference contribution

AN - SCOPUS:84904497672

SN - 9781479949311

T3 - 2014 ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2014

SP - 212

BT - 2014 ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2014

PB - IEEE Computer Society

Y2 - 14 April 2014 through 17 April 2014

ER -

Abdelkader M, Shaqura M, Ghommem M, Collier N, Calo V, Claudel C. WiP abstract: Optimal multi-agent path planning for fast inverse modeling in UAV-based flood sensing applications. In 2014 ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2014. IEEE Computer Society. 2014. p. 212. 6843725. (2014 ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2014). doi: 10.1109/ICCPS.2014.6843725

WiP abstract: Optimal multi-agent path planning for fast inverse modeling in UAV-based flood sensing applications

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this