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What is Human Error Model for Autonomous Ships about?

This document discusses a probabilistic model for assessing human error during emergency response on autonomous cargo ships with human-autonomy collaboration. It identifies risk factors from analyzing ship operations and uses an event tree model and Bayesian networks to calculate error probabilities for perception, decision-making, and execution stages. The model was applied to assess errors under remote navigation of an autonomous test ship in Wuhan, China.

Author

21-016-Abdul Aziiz Reza Tama

Language

EN