A Risk Assessment Algorithm for Ship Domains

A risk assessment algorithm for ship domains is proposed in this paper. Two different cases are considered to assess the risk of own ship and target ship. In the case that the ship domains are separated, the maximum margin is used to measure the risk. In the case that the ship domains have intersect...

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Bibliographic Details
Published in2018 37th Chinese Control Conference (CCC) pp. 7886 - 7889
Main Authors Kai, ZHENG, Yabo, CHEN, Yi, JIANG, Wei, ZHONG
Format Conference Proceeding
LanguageEnglish
Published Technical Committee on Control Theory, Chinese Association of Automation 01.07.2018
Subjects
Clustering algorithms
Marine vehicles
Navigation
Optimization
Particle separators
Risk Assessment
Risk management
Ship Domain
Support Vector Machine
Support vector machines
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Summary:A risk assessment algorithm for ship domains is proposed in this paper. Two different cases are considered to assess the risk of own ship and target ship. In the case that the ship domains are separated, the maximum margin is used to measure the risk. In the case that the ship domains have intersected, the soft-margin defined by the support vector machine (SVM) method to classify the non-separable data is introduced to measure the risk. A framework like a classifier generated by SVM method, which combines the hard-margin and soft-margin of ship domains, can quantify the risk of ship domains. Simulation example is provided to illustrate the effectiveness of the proposed algorithm.
ISSN:2161-2927
DOI:10.23919/ChiCC.2018.8483035