Deep learning-based object detection in maritime unmanned aerial vehicle imagery: Review and experimental comparisons

C Zhao, RW Liu, J Qu, R Gao - Engineering Applications of Artificial …, 2024 - Elsevier
With the advancement of maritime unmanned aerial vehicles (UAVs) and deep learning
technologies, the application of UAV-based object detection has become increasingly …

[HTML][HTML] Visual navigation systems for maritime smart ships: A survey

Y Wang, X Chen, Y Wu, J Zhao, O Postolache… - Journal of Marine …, 2024 - mdpi.com
The rapid development of artificial intelligence has greatly ensured maritime safety and
made outstanding contributions to the protection of the marine environment. However …

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 …

[HTML][HTML] An improved YOLOv8 obb model for ship detection through stable diffusion data augmentation

S Feng, Y Huang, N Zhang - Sensors, 2024 - mdpi.com
Unmanned aerial vehicles (UAVs) with cameras offer extensive monitoring capabilities and
exceptional maneuverability, making them ideal for real-time ship detection and effective …

A novel method for the evaluation of ship berthing risk using AIS data

B Lin, M Zheng, X Chu, M Zhang, W Mao, D Wu - Ocean Engineering, 2024 - Elsevier
The assessment of ship berthing risk, encompassing the potential for berthing collisions and
unforeseen events, holds paramount importance in the realm of waterway traffic …

An improved maritime traffic situation complexity model for intelligent maritime management in the inland ferry area

X Cheng, Z Sui, Y Wen, D Han - Computers and Electrical Engineering, 2024 - Elsevier
In increasingly busy inland ferry waterways, traditional maritime traffic situation awareness
mainly relies on the experience of Officers on Watch (OOW) and Vessel Traffic Service …

Multi-Task Learning-Enabled Automatic Vessel Draft Reading for Intelligent Maritime Surveillance

J Qu, RW Liu, C Zhao, Y Guo, SSD Xu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The accurate and efficient vessel draft reading (VDR) is an important component of
intelligent maritime surveillance, which could be exploited to assist in judging whether the …

[HTML][HTML] HiTrip: Historical trajectory interpolation for trawlers via deep learning on multi-source data

Z Zhao, J Chen, Y Shi, F Hong, G Jiang, H Huang… - Ocean …, 2024 - Elsevier
Abstract The Vessel Monitoring System (VMS) on trawlers has revolutionized our
understanding of spatiotemporal fishing activities. However, the low temporal resolution of …

[HTML][HTML] Reliable LiDAR-based ship detection and tracking for Autonomous Surface Vehicles in busy maritime environments

Y Xie, C Nanlal, Y Liu - Ocean Engineering, 2024 - Elsevier
Environmental perception is a crucial requirement of Autonomous Surface Vehicles (ASVs) if
required to perform tasks safely in a dynamically complex operational environment. Most …

AIS Data-Guided Geolocation Correction Method for Low-Orbit Satellite Remote Sensing Imagery

H Wu, Z Huang, Q Hu, X Ran… - IEEE Journal of Selected …, 2024 - ieeexplore.ieee.org
Accurate geolocation of maritime objects in satellite imagery is challenging due to geometric
distortions, atmospheric conditions, and sensor inaccuracies in low-Earth orbit satellites …