Abstract

<p>Unmanned maritime systems (UMS) can provide important benefits for maritime law enforcement agencies for tasks such as area surveillance and patrolling, especially when they are able to work together as one coordinated system. In this context, this paper proposes a methodology that optimises the coverage of a fleet of UMS, thereby maximising the opportunities for identifying threats. Unlike traditional approaches to maritime coverage optimisation, which are also used, for example, in search and rescue operations when searching for victims at sea, this approach takes into consideration the limited seaworthiness of small UMS, compared with traditional large ships, by incorporating the danger level into the design of the optimiser.</p>

Highlights

  • An ever-increasing percentage of the global population lives in coastal areas

  • This paper proposes a methodology that optimises the coverage of a fleet of Unmanned maritime systems (UMS), thereby maximising the opportunities for identifying threats

  • Unlike traditional approaches to maritime coverage optimisation, which are used, for example, in search and rescue operations when searching for victims at sea, this approach takes into consideration the limited seaworthiness of small UMS, compared with traditional large ships, by incorporating the danger level into the design of the optimiser

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Summary

INTRODUCTION

An ever-increasing percentage of the global population lives in coastal areas. A downside of this evolution is that an increasing number of criminals are turning their attention to our seas and oceans to carry out illegal activities. The problem for law enforcement agencies is that patrolling and surveilling the vast oceans using traditional means (large, manned vessels) is impossible from an economic and operational point of view. Unmanned maritime systems (UMS) can potentially provide maritime law enforcement agencies with a valuable tool for increasing their capabilities in relation to maritime surveillance. The traditional approaches towards distributed patrol and surveillance [6]-[8] by manned systems generally do not take into consideration the effects of small waves (which are irrelevant for larger ships but very important for small UMS). The presented methodology is cast as a distributed coverage optimisation problem that specifies that the danger level for the UMS of overturning is effectively estimated as a function of the potential trajectories and considered in the selection of the optimal movement strategy. In order to police and enforce the exclusion zone, it is necessary to patrol this area, which is on the maritime border with The Netherlands and measures about 10 km by 30 km

PREVIOUS STUDIES
Overall framework
Computational speed optimisation
Quantitative validation
Scaling and timing
CONCLUSIONS
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