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

Valeria Alexandra Feraru, Rasmus Eckholdt Andersen, Evangelos Boukas

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-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 languageEnglish
Title of host publicationProceedings of 2020 IEEE International Symposium on Safety, Security, and Rescue Robotics
PublisherIEEE
Publication date2020
Pages57-64
ISBN (Print)9780738111230
DOIs
Publication statusPublished - 2020
EventIEEE International Symposium on Safety, Security, and Rescue Robotics - Virtual event, Abu Dhabi, United Arab Emirates
Duration: 4 Nov 20206 Nov 2020

Conference

ConferenceIEEE International Symposium on Safety, Security, and Rescue Robotics
LocationVirtual event
CountryUnited Arab Emirates
CityAbu Dhabi
Period04/11/202006/11/2020

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