Results 11 to 20 of about 4,939 (248)

Target tracking method of Siamese networks based on the broad learning system

CAAI Transactions on Intelligence Technology, 2023
Target tracking has a wide range of applications in intelligent transportation, real‐time monitoring, human‐computer interaction and other aspects. However, in the tracking process, the target is prone to deformation, occlusion, loss, scale variation ...
Dan Zhang, C. L. Philip Chen, Tieshan Li, Yi Zuo, Nguyen Quang Duy   +4 more
doaj   +1 more source

TRFM-LS: Transformer-Based Deep Learning Method for Vessel Trajectory Prediction

Journal of Marine Science and Engineering, 2023
In the context of the rapid development of deep learning theory, predicting future motion states based on time series sequence data of ship trajectories can significantly improve the safety of the traffic environment.
Dapeng Jiang, Guoyou Shi, Na Li, Lin Ma, Weifeng Li, Jiahui Shi   +5 more
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COLREGs-Compliant Unmanned Surface Vehicles Collision Avoidance Based on Multi-Objective Genetic Algorithm

IEEE Access, 2020
Autonomous ships or Unmanned Surface Vehicles (USV) collision avoidance and path planning problems among multi-vessels are investigated in this paper. Firstly, a modified fuzzy dynamic risk of collision model based on time and space collision risk index ...
Jun Ning, Hanmin Chen, Tieshan Li, Wei Li, Chunze Li   +4 more
doaj   +1 more source

Semantics analysis model based on deep learning for vessel traffic service application

IET Intelligent Transport Systems, 2023
Vessel Traffic Service (VTS) significantly improves the navigation efficiency of ports. This paper proposes a model called Joint Extraction of Triples from the VHF Speech (JER‐VHF) to ensure the efficiency of the VTS.
Xue Han, Mingyang Pan, Zongying Liu, Han Meng, Hui Sun, Ruolan Zhang   +5 more
doaj   +1 more source

Bi-Objective Integrated Scheduling of Quay Cranes and Automated Guided Vehicles

Journal of Marine Science and Engineering, 2023
Operational efficiency is one of the key performance indicators of a port’s service level. In the process of making scheduling plans for container terminals, different types of equipment are usually scheduled separately.
Yating Duan, Hongxiang Ren, Fuquan Xu, Xiao Yang, Yao Meng   +4 more
doaj   +1 more source

Species Identification and Effects of Aromatic Hydrocarbons on the Fluorescence Spectra of Different Oil Samples in Seawater

Journal of Spectroscopy, 2021
The identification of oil species and their characteristics in oil spills is particularly important for their efficient disposal. Since aromatic hydrocarbons (AHs) with various characteristics are the major fluorescent components of oils in seawater ...
Yongchao Hou, Ying Li, Guannan Li, Mingfei Xu, Yunpeng Jia   +4 more
doaj   +1 more source

An Improved Model Predictive Control for Path-Following of USV Based on Global Course Constraint and Event-Triggered Mechanism

IEEE Access, 2021
In this work we propose a solution to the Unmanned Surface Vessels (USV) path-following problem by suggesting an improved model predictive control (MPC) based on global course constraint (GCC) and event-triggered mechanism (ETM).
Baigang Zhao, Xianku Zhang, Cailei Liang, Xu Han   +3 more
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Gaseous Emissions from a Seagoing Ship under Different Operating Conditions in the Coastal Region of China

Atmosphere, 2020
Pollution caused by ship emissions has drawn attention from various countries. Because of the high density of ships in ports, channels, and anchorages and their proximity to the densely populated areas, ship emissions will considerably impact these areas.
Chunjiang Bai, Ying Li, Bingxin Liu, Zhaoyi Zhang, Peng Wu   +4 more
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Maritime navigational Doppler logs [PDF]

Vojnotehnicki glasnik, 2006
The Doppler maritime navigational logs are based on measurement of the Doppler effect. A Doppler log transmitting transducer emits beam of sound vibration in the water, and a second (or the same) transducer receives the echo from the sea bed or -water layer.
openaire   +1 more source

Multi-Frame Star Image Denoising Algorithm Based on Deep Reinforcement Learning and Mixed Poisson–Gaussian Likelihood

Sensors, 2020
Mixed Poisson–Gaussian noise exists in the star images and is difficult to be effectively suppressed via maximum likelihood estimation (MLE) method due to its complicated likelihood function.
Ming Xie, Zhenduo Zhang, Wenbo Zheng, Ying Li, Kai Cao   +4 more
doaj   +1 more source