A Study on the Development of Verification Factors in the Safety Evaluation Scenarios for Autonomous System

Recently, the development of approval standards, technical guidelines, and evaluation for autonomous ships are being developed globally. Therefore, performance verification is essential to ensure the reliability and stability of autonomous navigation systems to be installed on autonomous ships. This study aims to propose evaluation scenarios for assessing the stability of autonomous ship navigation systems. This study investigated cases from similar fields, and based on these, validation scenarios were selected to evaluate the safety and performance of autonomous navigation systems. The performance verification scenarios for autonomous navigation vessels were structured by categorizing them into experimental vessels and demonstration vessels. experimental vessels are utilized to conduct designated route navigation tests, enabling comprehensive and repetitive assessments of all performance metrics and functionalities within a limited area. Inspection items were classified into pre-departure status check, ship control, route navigation, and preventing collision. demonstration vessels are designed to execute navigation function-based tests, aimed at evaluating the feasibility of stable navigation capabilities within an open ocean. Inspection items of demonstration ship are divided into before departure and during operation to determine whether the entire system is operating normally. In the future, it is considered necessary to prepare safety guidelines for the stability evaluation of autonomous ships.

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Publication Details

Journal
Journal of Fisheries and Marine Sciences Education
Published
2024-12-26
DOI
https://doi.org/10.13000/jfmse.2024.12.36.6.1180
Primary Topic
Technology and Data Analysis
Type
article
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article

A Study on the Development of Verification Factors in the Safety Evaluation Scenarios for Autonomous System

Jun‐Hyuk Lee, Jung-Hyuk HONG, Wook-Heon Kim
Journal of Fisheries and Marine Sciences Education
Technology and Data Analysis
article

A Study on the Development of Verification Factors in the Safety Evaluation Scenarios for Autonomous System

Jun‐Hyuk Lee, Jung-Hyuk HONG, Wook-Heon Kim
article en

Abstract

Recently, the development of approval standards, technical guidelines, and evaluation for autonomous ships are being developed globally. Therefore, performance verification is essential to ensure the reliability and stability of autonomous navigation systems to be installed on autonomous ships. This study aims to propose evaluation scenarios for assessing the stability of autonomous ship navigation systems. This study investigated cases from similar fields, and based on these, validation scenarios were selected to evaluate the safety and performance of autonomous navigation systems. The performance verification scenarios for autonomous navigation vessels were structured by categorizing them into experimental vessels and demonstration vessels. experimental vessels are utilized to conduct designated route navigation tests, enabling comprehensive and repetitive assessments of all performance metrics and functionalities within a limited area. Inspection items were classified into pre-departure status check, ship control, route navigation, and preventing collision. demonstration vessels are designed to execute navigation function-based tests, aimed at evaluating the feasibility of stable navigation capabilities within an open ocean. Inspection items of demonstration ship are divided into before departure and during operation to determine whether the entire system is operating normally. In the future, it is considered necessary to prepare safety guidelines for the stability evaluation of autonomous ships.

Journal of Fisheries and Marine Sciences EducationVol. 36(6)
Openalex Percentile: Top 62%
Technology and Data Analysis
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A Study on the Development of Verification Factors in the Safety Evaluation Scenarios for Autonomous System — Jun‐Hyuk Lee, Jung-Hyuk HONG, et al. · Journal of Fisheries and Marine Sciences Education (2024) | TGRS Research Map | TGRS