Towards an Autonomous UAV-based System to Assist Search and Rescue Operations in Man Overboard Incidents

Valeria Alexandra Feraru; Rasmus Eckholdt Andersen; Evangelos Boukas

doi:10.1109/SSRR50563.2020.9292632

Towards an Autonomous UAV-based System to Assist Search and Rescue Operations in Man Overboard Incidents

Valeria Alexandra Feraru, Rasmus Eckholdt Andersen, Evangelos Boukas

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

Abstract

Man overboard (MOB) incidents in open sea travel are a risk for the shipping industry. In this work we aim to design an autonomous system in charge of planning and executing a search for a person in water (PIW), victim of MOB. The proposed solution consists of an autonomous UAV that initiates a SAR mission when it receives a MOB signal. The UAV is located in an autonomous docking mechanism onboard the ship. The probabilistic leeway model is implemented to find the location of the PIW and a Deep Learning object detection algorithm (Faster R-CNN) is employed to locate the PIW. To the best of our knowledge, this is the first time that a search system on-board a vessel —capable of live planning and execution— is proposed. Our results indicate that employing our solution would increase the success probability of finding a PIW and decrease the total search time.

Original language	English
Title of host publication	Proceedings of 2020 IEEE International Symposium on Safety, Security, and Rescue Robotics
Publisher	IEEE
Publication date	2020
Pages	57-64
ISBN (Print)	9780738111230
DOIs	https://doi.org/10.1109/SSRR50563.2020.9292632
Publication status	Published - 2020
Event	2020 IEEE International Symposium on Safety, Security, and Rescue Robotics - Virtual event, Abu Dhabi, United Arab Emirates Duration: 4 Nov 2020 → 6 Nov 2020 https://ieeexplore.ieee.org/xpl/conhome/9292568/proceeding

Conference

Conference	2020 IEEE International Symposium on Safety, Security, and Rescue Robotics
Location	Virtual event
Country/Territory	United Arab Emirates
City	Abu Dhabi
Period	04/11/2020 → 06/11/2020
Internet address	https://ieeexplore.ieee.org/xpl/conhome/9292568/proceeding

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10.1109/SSRR50563.2020.9292632

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@inproceedings{22da1873e8ea45a998ca5a5a29aeea49,

title = "Towards an Autonomous UAV-based System to Assist Search and Rescue Operations in Man Overboard Incidents",

abstract = "Man overboard (MOB) incidents in open sea travel are a risk for the shipping industry. In this work we aim to design an autonomous system in charge of planning and executing a search for a person in water (PIW), victim of MOB. The proposed solution consists of an autonomous UAV that initiates a SAR mission when it receives a MOB signal. The UAV is located in an autonomous docking mechanism onboard the ship. The probabilistic leeway model is implemented to find the location of the PIW and a Deep Learning object detection algorithm (Faster R-CNN) is employed to locate the PIW. To the best of our knowledge, this is the first time that a search system on-board a vessel —capable of live planning and execution— is proposed. Our results indicate that employing our solution would increase the success probability of finding a PIW and decrease the total search time.",

author = "Feraru, {Valeria Alexandra} and Andersen, {Rasmus Eckholdt} and Evangelos Boukas",

year = "2020",

doi = "10.1109/SSRR50563.2020.9292632",

language = "English",

isbn = "9780738111230",

pages = "57--64",

booktitle = "Proceedings of 2020 IEEE International Symposium on Safety, Security, and Rescue Robotics",

publisher = "IEEE",

address = "United States",

note = "2020 IEEE International Symposium on Safety, Security, and Rescue Robotics, SSRR 2020 ; Conference date: 04-11-2020 Through 06-11-2020",

url = "https://ieeexplore.ieee.org/xpl/conhome/9292568/proceeding",

}

Feraru, VA, Andersen, RE & Boukas, E 2020, Towards an Autonomous UAV-based System to Assist Search and Rescue Operations in Man Overboard Incidents. in Proceedings of 2020 IEEE International Symposium on Safety, Security, and Rescue Robotics. IEEE, pp. 57-64, 2020 IEEE International Symposium on Safety, Security, and Rescue Robotics, Abu Dhabi, United Arab Emirates, 04/11/2020. https://doi.org/10.1109/SSRR50563.2020.9292632

Towards an Autonomous UAV-based System to Assist Search and Rescue Operations in Man Overboard Incidents. / Feraru, Valeria Alexandra; Andersen, Rasmus Eckholdt ; Boukas, Evangelos.
Proceedings of 2020 IEEE International Symposium on Safety, Security, and Rescue Robotics. IEEE, 2020. p. 57-64.

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

TY - GEN

T1 - Towards an Autonomous UAV-based System to Assist Search and Rescue Operations in Man Overboard Incidents

AU - Feraru, Valeria Alexandra

AU - Andersen, Rasmus Eckholdt

AU - Boukas, Evangelos

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Y1 - 2020

N2 - Man overboard (MOB) incidents in open sea travel are a risk for the shipping industry. In this work we aim to design an autonomous system in charge of planning and executing a search for a person in water (PIW), victim of MOB. The proposed solution consists of an autonomous UAV that initiates a SAR mission when it receives a MOB signal. The UAV is located in an autonomous docking mechanism onboard the ship. The probabilistic leeway model is implemented to find the location of the PIW and a Deep Learning object detection algorithm (Faster R-CNN) is employed to locate the PIW. To the best of our knowledge, this is the first time that a search system on-board a vessel —capable of live planning and execution— is proposed. Our results indicate that employing our solution would increase the success probability of finding a PIW and decrease the total search time.

AB - Man overboard (MOB) incidents in open sea travel are a risk for the shipping industry. In this work we aim to design an autonomous system in charge of planning and executing a search for a person in water (PIW), victim of MOB. The proposed solution consists of an autonomous UAV that initiates a SAR mission when it receives a MOB signal. The UAV is located in an autonomous docking mechanism onboard the ship. The probabilistic leeway model is implemented to find the location of the PIW and a Deep Learning object detection algorithm (Faster R-CNN) is employed to locate the PIW. To the best of our knowledge, this is the first time that a search system on-board a vessel —capable of live planning and execution— is proposed. Our results indicate that employing our solution would increase the success probability of finding a PIW and decrease the total search time.

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BT - Proceedings of 2020 IEEE International Symposium on Safety, Security, and Rescue Robotics

PB - IEEE

T2 - 2020 IEEE International Symposium on Safety, Security, and Rescue Robotics

Y2 - 4 November 2020 through 6 November 2020

ER -

Towards an Autonomous UAV-based System to Assist Search and Rescue Operations in Man Overboard Incidents

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