Risk-based path planning for preventing collisions and groundings of maritime autonomous surface ships

Maidana, Renan Guedes; Kristensen, Susanna Dybwad; Utne, Ingrid Bouwer; Sørensen, Asgeir Johan

doi:10.1016/j.oceaneng.2023.116417

Ocean Engineering

2023

DOI: 10.1016/j.oceaneng.2023.116417

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Risk-based path planning for preventing collisions and groundings of maritime autonomous surface ships

Renan Guedes Maidana,

Susanna Dybwad Kristensen,

Ingrid Bouwer Utne

et al.

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Cited by 4 publications

References 33 publications

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Advanced Bayesian study on inland navigational risk of remotely controlled autonomous ship

Fan,

Bolbot,

Montewka

et al. 2024

Accident Analysis & Prevention

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Advanced Bayesian study on inland navigational risk of remotely controlled autonomous ship

Fan,

Bolbot,

Montewka

et al. 2024

Accident Analysis & Prevention

View full text Add to dashboard Cite

Ship autonomous collision avoidance decision from the perspective of navigation practice

Li,

Mou,

Chen

et al. 2024

Ocean Engineering

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Comparison of methods for using risk information in path planning for autonomous surface vessels

Kristensen,

Skjetne,

Utne

2024

J. Phys.: Conf. Ser.

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Path planning is an essential part of autonomous surface vessel (ASV) operations. Risk models can be used to give estimates of risk related to the operation of technical systems, such as ASVs. Combining risk models directly with control systems can be a way to make autonomous systems more capable of assessing and evaluating risk, and in this way allow them to make better decisions. Focusing on path planning, this study aims at investigating how an online risk model used to inform an ASV of risk compares to a static safety domain. The results show that the paths selected when using the risk model can consider different environmental conditions, and the choice of path can be adapted based on how conservative the ASV should be with respect to risk. In this way the risk model provides a more detailed basis for making decisions than the static safety domain.

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Risk-based path planning for preventing collisions and groundings of maritime autonomous surface ships

Cited by 4 publications

References 33 publications

Advanced Bayesian study on inland navigational risk of remotely controlled autonomous ship

Advanced Bayesian study on inland navigational risk of remotely controlled autonomous ship

Ship autonomous collision avoidance decision from the perspective of navigation practice

Comparison of methods for using risk information in path planning for autonomous surface vessels

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