Dynamic probabilistic risk assessment with K-shortest-paths planning for generating discrete dynamic event trees

Maidana, Renan G.; Parhizkar, Tarannom; Martin, Gabriel San; Utne, Ingrid B.

doi:10.1016/j.ress.2023.109725

Reliability Engineering & System Safety

2024

DOI: 10.1016/j.ress.2023.109725

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Dynamic probabilistic risk assessment with K-shortest-paths planning for generating discrete dynamic event trees

Renan G. Maidana,

Tarannom Parhizkar,

Gabriel San Martin

et al.

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2024

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Cited by 3 publications

References 29 publications

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

Maidana,

Kristensen,

Utne

et al. 2023

Ocean Engineering

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

Maidana,

Kristensen,

Utne

et al. 2023

Ocean Engineering

View full text Add to dashboard Cite

Dynamic human error risk assessment of group decision-making in extreme cooperative scenario

Qiao,

Gao,

et al. 2024

Reliability Engineering & System Safety

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Design of sports training information analysis system based on a multi-target visual model under sensor-scale spatial transformation

Hu,

Zhang,

2024

PeerJ Computer Science

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In the contemporary realm of athletic training, integrating technology is a pivotal determinant for augmenting athlete performance and refining training outcomes. The amalgamation of multi-target visual modeling with sensor technology imparts an enriched stratum of sports training data. Subsequently, the sensor scale-space transformation accentuates the comprehensive apprehension of data across diverse scales and angles. Hence, within this manuscript, addressing the multi-target tracking intricacies during sports training and competition, we posit a framework that amalgamates the shortest path elucidated by the K shortest paths (KSP) methodology with the pose information emanating from the Alphapose network. This framework recognizes the athlete’s shortest path through a convolutional neural network and KSP, followed by the amalgamation of these divergent data sources. The fusion unfolds by incorporating the athlete’s pose information grounded in Alphapose, culminating in a comprehensive integration of the two data streams. Consequently, synthesizing alpha-derived athlete information precipitates the ultimate amalgamation of the two information streams. The accomplished fusion, premised on Alphapose, forms the bedrock for multi-target tracking, culminating in a feature-rich synthesis. Empirical results reveal that after integrating these information streams, the Multiple Object Tracking Accuracy (MOTA) index and Global Multiple Object Tracking Accuracy (GMOTA) index surpass those of the solitary information tracking methods, thereby furnishing a technical underpinning and a foundation for information fusion within prospective sports training analysis systems.

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Dynamic probabilistic risk assessment with K-shortest-paths planning for generating discrete dynamic event trees

Cited by 3 publications

References 29 publications

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

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

Dynamic human error risk assessment of group decision-making in extreme cooperative scenario

Design of sports training information analysis system based on a multi-target visual model under sensor-scale spatial transformation

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