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Simulated Trials of an Autonomous Collision Avoidance System

Lookup NU author(s): Dr Richard Fairchild

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Abstract

The shipping industry employs many thousands of people and is responsible for handling 90% of the world’s trade. However, this industry still suffers from avoidable accidents, which are in part due to the over-reliance on fewer crew members performing more tasks. Whilst safety is taken seriously, the industry is slow to change and adopt new practices. This paper presents a solution to the problem of ship to ship collisions; namely, an autonomous collision avoidance system utilising autonomous agents, target vessel detection and collision avoidance mechanisms. A series of tests are presented and conclusions are drawn which show whilst collision avoidance can be successfully demonstrated, a closer inspection of the mechanisms of target detection and classification are required.


Publication metadata

Author(s): Fairchild RG

Publication type: Conference Proceedings (inc. Abstract)

Conference Name: UTSG Annual Conference 2010

Year of Conference: 2010

Publisher: Universities' Transport Study Group


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