Scenario-based Testing of a Ship Collision Avoidance System

Research output: Chapter in Book/Conference proceedingConference contributionScientificpeer-review

2 Citations (Scopus)

Abstract

We propose a method for scenario-based testing of maritime collision avoidance systems. The goal is to test an autonomous agent in scenarios that can lead to an unacceptable risk of collision or may clearly not comply with the International Regulations for Preventing Collisions at Sea (COLREGs).Our method is based on the use of a discriminating artificial neural network that is trained online while performing the testing of the agents. Our experimental results show that the proposed algorithm generates test suits composed mostly of challenging scenarios. This allows us to validate quickly if the agent under test can perform the collision avoidance maneuvers safely while abiding the COLREGs.
Original languageEnglish
Title of host publication2020 46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)
PublisherIEEE
Pages545-552
ISBN (Electronic)978-1-7281-9532-2
ISBN (Print)978-1-7281-9533-9
DOIs
Publication statusPublished - 2020
MoE publication typeA4 Article in a conference publication
EventEuromicro Conference on Software Engineering and Advanced Applications -
Duration: 26 Aug 2020 → …

Conference

ConferenceEuromicro Conference on Software Engineering and Advanced Applications
Abbreviated titleSEAA
Period26/08/20 → …

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