Results 181 to 190 of about 3,911,077 (216)
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Calculation on ship-bridge collision risk of Kunzi model based on ship domain
2021 IEEE 5th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC), 2021With the construction of inland river bridges, the frequency of ship-bridge collision accidents has gradually increased. However, there are few algorithms for risk identification of ships and bridges. The reason is that there are many types of bridges and ships, which leads to the lack of universality of the algorithms.
De-Jun Chen +2 more
openaire +1 more source
Dual Teacher: A Semisupervised Cotraining Framework for Cross-Domain Ship Detection
IEEE Transactions on Geoscience and Remote Sensing, 2023Cross-domain ship detection tries to identify synthetic aperture radar (SAR) ships by adapting knowledge from labeled optical images, without labor-intensive annotations.
Xiangtao Zheng +3 more
semanticscholar +1 more source
, 2020
This note aims to address the concerns and confusions raised by Jakub et al. (2020) on the article of Zhang and Meng published in Ocean Engineering in 2019.
Liye Zhang, Q. Meng
semanticscholar +1 more source
This note aims to address the concerns and confusions raised by Jakub et al. (2020) on the article of Zhang and Meng published in Ocean Engineering in 2019.
Liye Zhang, Q. Meng
semanticscholar +1 more source
IEEE Transactions on Geoscience and Remote Sensing, 2023
Due to the powerful feature extraction and expression ability of convolutional neural networks (CNNs), exceptional success has been achieved in the field of ship automatic target recognition (ATR) of synthetic aperture radar (SAR).
Guili Gao +4 more
semanticscholar +1 more source
Due to the powerful feature extraction and expression ability of convolutional neural networks (CNNs), exceptional success has been achieved in the field of ship automatic target recognition (ATR) of synthetic aperture radar (SAR).
Guili Gao +4 more
semanticscholar +1 more source
A novel dynamic quaternion ship domain
Fifth International Conference on Intelligent Control and Information Processing, 2014Based on ship maneuverability and human reliability models, a novel dynamic quaternion ship domain (DQSD) model is firstly proposed by effectively combining subsystems of ship dynamics, human performance and navigation environment, which results in the quantitative and analytical study on ship domain models.
Shao-Man Liu +3 more
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A Risk Assessment Algorithm for Ship Domains
2018 37th Chinese Control Conference (CCC), 2018A risk assessment algorithm for ship domains is proposed in this paper. Two different cases are considered to assess the risk of own ship and target ship. In the case that the ship domains are separated, the maximum margin is used to measure the risk.
ZHENG Kai +3 more
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A Revisit of the Definition of the Ship Domain based on AIS Analysis
Journal of navigation, 2018When ships approach each other, they should keep a minimum area around them clear of other vessels in order to remain safe. The geometrical shape of this area has been studied since the early 1970s and is defined as the ship domain.
Axel Hörteborn +3 more
semanticscholar +1 more source
Research on the Application of Ship Domain Model in Ship Collision Avoidance
SAE Technical Paper Series<div class="section abstract"><div class="htmlview paragraph">In contemporary global commerce, swift advancements are observed within the maritime transportation sector. The frequency of seafaring voyages increases apace, from which it is discerned that navigational safety emerges as an
Junting Xiong +4 more
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Semi-dynamic ship domain in the encounter situation of two vessels
Developments in the Collision and Grounding of Ships and Offshore Structures, 2019: There exist numerous examples of ship domains that are rooted in the concept of Fujii and Goodwin. Initially, the idea was developed to evaluate the capacity of waterways by calculating the probability of accidents in the fairways.
M. Gil +4 more
semanticscholar +1 more source
IEEE Transactions on Geoscience and Remote Sensing
Detecting ships in synthetic aperture radar (SAR) images poses a formidable challenge, primarily attributed to limited observation samples and complex environments.
Zheng Zhou +3 more
semanticscholar +1 more source
Detecting ships in synthetic aperture radar (SAR) images poses a formidable challenge, primarily attributed to limited observation samples and complex environments.
Zheng Zhou +3 more
semanticscholar +1 more source

