A Virtual Testbed for Critical Incident Investigation with Autonomous Remote Aerial Vehicle Surveying, Artificial Intelligence, and Decision Support

Ihsan Ullah; Sai Abinesh; David L. Smyth; Nazli B. Karimi; Brett Drury; Frank G. Glavin; Michael G. Madden

doi:10.1007/978-3-030-13453-2_18

A Virtual Testbed for Critical Incident Investigation with Autonomous Remote Aerial Vehicle Surveying, Artificial Intelligence, and Decision Support

Ihsan Ullah
, Sai Abinesh
, David L. Smyth
, Nazli B. Karimi
, Brett Drury
, Frank G. Glavin
, Michael G. Madden

University of Galway

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

5 Citations (Scopus)

Abstract

Autonomous robotics and artificial intelligence techniques can be used to support human personnel in the event of critical incidents. These incidents can pose great danger to human life. Some examples of such assistance include: multi-robot surveying of the scene; collection of sensor data and scene imagery, real-time risk assessment and analysis; object identification and anomaly detection; and retrieval of relevant supporting documentation such as standard operating procedures (SOPs). These incidents, although often rare, can involve chemical, biological, radiological/nuclear or explosive (CBRNE) substances and can be of high consequence. Real-world training and deployment of these systems can be costly and sometimes not feasible. For this reason, we have developed a realistic 3D model of a CBRNE scenario to act as a testbed for an initial set of assisting AI tools that we have developed (This research has received funding from the European Union’s Horizon 2020 Programme under grant agreement No. 700264.).

Original language	English
Title of host publication	ECML PKDD 2018 Workshops - Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Proceedings
Editors	Carlos Alzate, Anna Monreale
Publisher	Springer-Verlag
Pages	216-221
Number of pages	6
ISBN (Print)	9783030134525
DOIs	https://doi.org/10.1007/978-3-030-13453-2_18
Publication status	Published - 2019
Event	European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2018 - Dublin, Ireland Duration: 10 Sep 2018 → 14 Sep 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11329 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2018
Country/Territory	Ireland
City	Dublin
Period	10/09/18 → 14/09/18

Access to Document

10.1007/978-3-030-13453-2_18

Cite this

Ullah, I., Abinesh, S., Smyth, D. L., Karimi, N. B., Drury, B., Glavin, F. G., & Madden, M. G. (2019). A Virtual Testbed for Critical Incident Investigation with Autonomous Remote Aerial Vehicle Surveying, Artificial Intelligence, and Decision Support. In C. Alzate, & A. Monreale (Eds.), ECML PKDD 2018 Workshops - Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Proceedings (pp. 216-221). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11329 LNAI). Springer-Verlag. https://doi.org/10.1007/978-3-030-13453-2_18

Ullah, Ihsan ; Abinesh, Sai ; Smyth, David L. et al. / A Virtual Testbed for Critical Incident Investigation with Autonomous Remote Aerial Vehicle Surveying, Artificial Intelligence, and Decision Support. ECML PKDD 2018 Workshops - Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Proceedings. editor / Carlos Alzate ; Anna Monreale. Springer-Verlag, 2019. pp. 216-221 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{167b693d065c4814b626d53c80df5781,

title = "A Virtual Testbed for Critical Incident Investigation with Autonomous Remote Aerial Vehicle Surveying, Artificial Intelligence, and Decision Support",

abstract = "Autonomous robotics and artificial intelligence techniques can be used to support human personnel in the event of critical incidents. These incidents can pose great danger to human life. Some examples of such assistance include: multi-robot surveying of the scene; collection of sensor data and scene imagery, real-time risk assessment and analysis; object identification and anomaly detection; and retrieval of relevant supporting documentation such as standard operating procedures (SOPs). These incidents, although often rare, can involve chemical, biological, radiological/nuclear or explosive (CBRNE) substances and can be of high consequence. Real-world training and deployment of these systems can be costly and sometimes not feasible. For this reason, we have developed a realistic 3D model of a CBRNE scenario to act as a testbed for an initial set of assisting AI tools that we have developed (This research has received funding from the European Union{\textquoteright}s Horizon 2020 Programme under grant agreement No. 700264.).",

author = "Ihsan Ullah and Sai Abinesh and Smyth, \{David L.\} and Karimi, \{Nazli B.\} and Brett Drury and Glavin, \{Frank G.\} and Madden, \{Michael G.\}",

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year = "2019",

doi = "10.1007/978-3-030-13453-2\_18",

language = "English",

isbn = "9783030134525",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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pages = "216--221",

editor = "Carlos Alzate and Anna Monreale",

booktitle = "ECML PKDD 2018 Workshops - Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Proceedings",

}

Ullah, I, Abinesh, S, Smyth, DL, Karimi, NB, Drury, B, Glavin, FG & Madden, MG 2019, A Virtual Testbed for Critical Incident Investigation with Autonomous Remote Aerial Vehicle Surveying, Artificial Intelligence, and Decision Support. in C Alzate & A Monreale (eds), ECML PKDD 2018 Workshops - Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11329 LNAI, Springer-Verlag, pp. 216-221, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2018, Dublin, Ireland, 10/09/18. https://doi.org/10.1007/978-3-030-13453-2_18

A Virtual Testbed for Critical Incident Investigation with Autonomous Remote Aerial Vehicle Surveying, Artificial Intelligence, and Decision Support. / Ullah, Ihsan; Abinesh, Sai; Smyth, David L. et al.
ECML PKDD 2018 Workshops - Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Proceedings. ed. / Carlos Alzate; Anna Monreale. Springer-Verlag, 2019. p. 216-221 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11329 LNAI).

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

TY - GEN

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AU - Ullah, Ihsan

AU - Abinesh, Sai

AU - Smyth, David L.

AU - Karimi, Nazli B.

AU - Drury, Brett

AU - Glavin, Frank G.

AU - Madden, Michael G.

PY - 2019

Y1 - 2019

N2 - Autonomous robotics and artificial intelligence techniques can be used to support human personnel in the event of critical incidents. These incidents can pose great danger to human life. Some examples of such assistance include: multi-robot surveying of the scene; collection of sensor data and scene imagery, real-time risk assessment and analysis; object identification and anomaly detection; and retrieval of relevant supporting documentation such as standard operating procedures (SOPs). These incidents, although often rare, can involve chemical, biological, radiological/nuclear or explosive (CBRNE) substances and can be of high consequence. Real-world training and deployment of these systems can be costly and sometimes not feasible. For this reason, we have developed a realistic 3D model of a CBRNE scenario to act as a testbed for an initial set of assisting AI tools that we have developed (This research has received funding from the European Union’s Horizon 2020 Programme under grant agreement No. 700264.).

AB - Autonomous robotics and artificial intelligence techniques can be used to support human personnel in the event of critical incidents. These incidents can pose great danger to human life. Some examples of such assistance include: multi-robot surveying of the scene; collection of sensor data and scene imagery, real-time risk assessment and analysis; object identification and anomaly detection; and retrieval of relevant supporting documentation such as standard operating procedures (SOPs). These incidents, although often rare, can involve chemical, biological, radiological/nuclear or explosive (CBRNE) substances and can be of high consequence. Real-world training and deployment of these systems can be costly and sometimes not feasible. For this reason, we have developed a realistic 3D model of a CBRNE scenario to act as a testbed for an initial set of assisting AI tools that we have developed (This research has received funding from the European Union’s Horizon 2020 Programme under grant agreement No. 700264.).

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DO - 10.1007/978-3-030-13453-2_18

M3 - Conference Publication

AN - SCOPUS:85063508419

SN - 9783030134525

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 216

EP - 221

BT - ECML PKDD 2018 Workshops - Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Proceedings

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A2 - Monreale, Anna

PB - Springer-Verlag

T2 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2018

Y2 - 10 September 2018 through 14 September 2018

ER -

Ullah I, Abinesh S, Smyth DL, Karimi NB, Drury B, Glavin FG et al. A Virtual Testbed for Critical Incident Investigation with Autonomous Remote Aerial Vehicle Surveying, Artificial Intelligence, and Decision Support. In Alzate C, Monreale A, editors, ECML PKDD 2018 Workshops - Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Proceedings. Springer-Verlag. 2019. p. 216-221. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-13453-2_18

A Virtual Testbed for Critical Incident Investigation with Autonomous Remote Aerial Vehicle Surveying, Artificial Intelligence, and Decision Support

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