Year: 2016
Type: article
Abstract: Recently, during search and rescue actions at sea, Unmanned Aerial Vehicles (UAVs) have been used. Onboard decision capabilities allow an UAV vehicle to reach the entity that is in distress at sea. UAVs are launched within a few minutes to begin search actions. When the exact location of the irtjured entity is detected, a rescue action should begin. According to the collected information about the vessel's position, manoeuvrability, and velocity, the control centre determines which vessel is to be engaged in the rescue action. This highly autonomous system can be described as a discrete event system. Certain states of such systems, such as collisions, are undesirable. This paper presents implementation of information flow to supervise, control, and monitor the behaviour of the UAVs during the search, to avoid collisions and to communicate with computational onboard sub-systems. Planning algorithms and coloured Petri nets are used to specify different phases of the mission execution. When a certain UAV detects an injured entity, alternative encoded reactions are triggered and a control centre starts implementing the rescue plan.
Source: Ekonomiczne Problemy Usług
Authors: Dario Medić, Anita Gudelj, Maja Krćum
Institution: University of Split
Language: Polish
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $135
OpenAlex ID: W2581493325