The application of Artificial Intelligence (AI) across a wide range of domains comes with both
high expectations of its benefits and dire predictions of misuse. While AI systems have …

The increasing prevalence of Artificial Intelligence (AI) in safety-critical contexts such as air-
traffic control leads to systems that are practical and efficient, and to some extent explainable …

The use of marine cabled video observatories with multiparametric environmental data
collection capability is becoming relevant for ecological monitoring strategies. Their …

Autonomous ferries are providing new opportunities for urban transport mobility. With this
change comes a new risk picture, which is characterised to a large extent by the safe …

In the future, maritime autonomous surface ships (MASS) will become more advanced, and
mariners will move from the bridge to remote operation centres. To avoid dangerous …

Deep neural networks (DNNs) can be useful within the marine robotics field, but their utility
value is restricted by their black-box nature. Explainable artificial intelligence methods …

Human-centred design (HCD) and usability evaluations can help reduce human errors and
improve maritime safety. To the authors' knowledge, there has not been a comprehensive …

Through recent advancements, AI stands as a transformative force by reshaping societal
domains and strategies. In the military cyber domain, this transformation pivots on data and …

In this paper, a swarm trajectory-planning method is proposed for multiple autonomous
surface vehicles (ASVs) in an unknown and obstacle-rich environment. Specifically, based …

(AI) and Machine Learning (ML) are set to revolutionize all industries, Intelligent
Transportation Systems (ITS) field is no exception. However, being a safety-critical system …