references.bib

@inproceedings{feraru_towards_2020,
	title = {Towards an {Autonomous} {UAV}-based {System} to {Assist} {Search} and {Rescue} {Operations} in {Man} {Overboard} {Incidents}},
	doi = {10.1109/SSRR50563.2020.9292632},
	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.},
	booktitle = {2020 {IEEE} {International} {Symposium} on {Safety}, {Security}, and {Rescue} {Robotics} ({SSRR})},
	author = {Feraru, Valeria Alexandra and Andersen, Rasmus Eckholdt and Boukas, Evangelos},
	month = nov,
	year = {2020},
	note = {ISSN: 2475-8426},
	keywords = {Probabilistic logic, Cameras, Marine vehicles, Planning, Robots, Search problems, Uncertainty},
	pages = {57--64},
}