The main idea of this paper is to connect a synthetic scenario and a time domain ship dynamic simulator, in order to enhance the situational awareness of the bridge crew. The VR is used to represent the surrounding environment, and the Human-In-The-Loop (HITL) techniques permits the user to interact with the simulation. The combined use of a simulator and a synthetic scenario allows multiple choices, such as performing emergency or non-standard manoeuvres, receiving feedbacks and, in case, making the proper actions on the ship. In this paper, this approach is applied to develop a VR-based decision support system for collision avoidance, firstly implementing simple collision avoidance strategies and then elaborating the tool to visualise the information in a synthetic 3D scenario. At the end of the paper, results related to the described application are presented, and the benefits and the weakness of the proposed methodology are discussed.

Development of a navigation support system by means of a synthetic scenario

Michele Martelli;Nicolò Faggioni;Raphael Zaccone
2020-01-01

Abstract

The main idea of this paper is to connect a synthetic scenario and a time domain ship dynamic simulator, in order to enhance the situational awareness of the bridge crew. The VR is used to represent the surrounding environment, and the Human-In-The-Loop (HITL) techniques permits the user to interact with the simulation. The combined use of a simulator and a synthetic scenario allows multiple choices, such as performing emergency or non-standard manoeuvres, receiving feedbacks and, in case, making the proper actions on the ship. In this paper, this approach is applied to develop a VR-based decision support system for collision avoidance, firstly implementing simple collision avoidance strategies and then elaborating the tool to visualise the information in a synthetic 3D scenario. At the end of the paper, results related to the described application are presented, and the benefits and the weakness of the proposed methodology are discussed.
2020
978-0-367-40951-7
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/977074
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