Data-driven methods for detection of abnormal ship behavior: Progress and trends

Y Wang, J Liu, RW Liu, Y Liu, Z Yuan - Ocean Engineering, 2023 - Elsevier
Maritime traffic safety influences the development of world economies. A major aspect to
enhance maritime traffic safety is the effective detection of abnormal ship behavior (DASB) …

Quantifying Arctic oil spilling event risk by integrating an analytic network process and a fuzzy comprehensive evaluation model

X Chen, S Liu, RW Liu, H Wu, B Han, J Zhao - Ocean & Coastal …, 2022 - Elsevier
The development of economic globalization and increasing ice melting in Arctic area
enables Arctic shipping activities more convenient. Exploring impact of extreme events (ie …

[HTML][HTML] Recognition and depth estimation of ships based on binocular stereo vision

Y Zheng, P Liu, L Qian, S Qin, X Liu, Y Ma… - Journal of Marine …, 2022 - mdpi.com
To improve the navigation safety of inland river ships and enrich the methods of
environmental perception, this paper studies the recognition and depth estimation of inland …

Improving maritime traffic surveillance in inland waterways using the robust fusion of AIS and visual data

J Qu, RW Liu, Y Guo, Y Lu, J Su, P Li - Ocean Engineering, 2023 - Elsevier
To guarantee vessel traffic safety in inland waterways, the automatic identification system
(AIS) and shore-based cameras have been widely adopted to monitor moving vessels. The …

Maritime traffic clustering to capture high-risk multi-ship encounters in complex waters

X Xin, K Liu, S Loughney, J Wang, Z Yang - Reliability Engineering & …, 2023 - Elsevier
Maritime traffic situational awareness is fundamental to the safety of maritime transportation.
The state-of-the-art research primarily attaches importance to collision risk estimation and …

Fuzzy logic-based modeling method for regional multi-ship collision risk assessment considering impacts of ship crossing angle and navigational environment

Z Shi, R Zhen, J Liu - Ocean Engineering, 2022 - Elsevier
The ship crossing angle and navigational environment have significant impact on the
precisely modeling of regional ship collision risk, but the existed studies seldom consider …

Review of research progress of autonomous and unmanned shipping and identification of future research directions

I Jovanović, M Perčić, A BahooToroody… - Journal of Marine …, 2024 - Taylor & Francis
The maritime industry is following the trend of increased autonomy and digitalisation applied
in aviation, automotive, military, and chemical industries. Maritime autonomous and …

Asynchronous trajectory matching-based multimodal maritime data fusion for vessel traffic surveillance in inland waterways

Y Guo, RW Liu, J Qu, Y Lu, F Zhu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The automatic identification system (AIS) and video cameras have been widely exploited for
vessel traffic surveillance in inland waterways. The AIS data could provide vessel identity …

Pixel-wise ship identification from maritime images via a semantic segmentation model

X Chen, X Wu, DK Prasad, B Wu… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
Accurately identifying ships from maritime surveillance videos attracts increasing attention in
the smart ship community, considering that the videos provide informative yet easily …

Perception-aware online trajectory generation for a prescribed manoeuvre of unmanned surface vehicle in cluttered unstructured environment

A Yazdani, S MahmoudZadeh, O Yakimenko… - Robotics and …, 2023 - Elsevier
This paper proposes a perception-aware online trajectory generation system that facilitates
prescribed manoeuvres of an unmanned surface vehicle (USV) in a dynamic unstructured …