Fusion of Ship Perceptual Information for Electronic Navigational Chart and Radar Images based on Deep Learning

Guo, Muzhuang; Guo, Chen; Zhang, Chuang; Zhang, Daheng; Gao, Zongjiang

doi:10.1017/s0373463319000481

Cited by 12 publications

(7 citation statements)

References 20 publications

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“…Data prepossessing is the first step in machine learning, and DL tasks [46], [47], [48]. It prepares raw data, such as text, images, etc., for model classification.…”

Section: ) Data Preprocessingmentioning

confidence: 99%

A Survey of Intelligent Detection Designs of HTML URL Phishing Attacks

et al. 2023

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Phishing attacks are a type of cybercrime that has grown in recent years. It is part of social engineering attacks where an attacker deceives users by sending fake messages using social media platforms or emails. Phishing attacks steal users' information or download and install malicious software. They are hard to detect because attackers can design a phishing message that looks legitimate to a user. This message may contain a phishing URL so that even an expert can be a victim. This URL leads the victim to a fake website that steals information, such as login information, payment information, etc. Researchers and engineers work to develop methods to detect phishing attacks without the need for the eyes of experts. Even though many papers discuss HTML and URL-based phishing detection methods, there is no comprehensive survey to discuss these methods. Therefore, this paper comprehensively surveys HTML and URL phishing attacks and detection methods. We review the current state-of-art deep learning models to detect URL-based and hybrid-based phishing attacks in detail. We compare each model based on its data preprocessing, feature extraction, model design, and performance.

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“…Data prepossessing is the first step in machine learning, and DL tasks [46], [47], [48]. It prepares raw data, such as text, images, etc., for model classification.…”

Section: ) Data Preprocessingmentioning

confidence: 99%

A Survey of Intelligent Detection Designs of HTML URL Phishing Attacks

et al. 2023

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“…where B denotes the hull width, D P denotes the diameter of the propeller, x C denotes the longitudinal coordinates of the floating center, l R = -0.9L and using the Hankescher formula [29], for a double propeller boat, C b = 0.54, t p0 = 0.5C p -0.18, C p is the vessel's rhombic coefficient,…”

Section: Mmg Motion Modelmentioning

confidence: 99%

“…According to the basic parameters in Table 2, C b = V DR LBd = 0.37. Bringing C b into equation (17), it is calculated according to [30] In (29),…”

Section: Parameter Identificationmentioning

confidence: 99%

Autonomous Catamaran Unmanned Surface Vessel Based on GPS And Radar

Ren¹,

Wang²,

Zou³

2023

Preprint

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This work presents a new scheme for autonomous control and obstacle detection of a catamaran unmanned surface vessel. Based on the Newtonian mechanics, hydrodynamics, and maneuvering modelling group modelling principles in the attached coordinate system, a three-degree-of-freedom motion model of the catamaran unmanned surface vessel is constructed. The fuzzy inference method is used to overcome the drawback that the traditional PID control cannot tune the PID parameters online, and the trajectory controller is designed. Meanwhile, 3D LIDAR is used to achieve obstacle detection. The results of the trajectory tracking simulations and experiments verify the accuracy of the model design and the effectiveness of the autonomous control design.

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“…This has increased the demand for advanced sensors for ship mechanical state and perceptual state monitoring [2]. Research institutions at home and abroad have conducted technical research on millimeter wave radar, stereo vision imaging, radar target detection, autopilot and other equipment and sensor algorithm fusion [3][4][5][6][7][8]. Literature [9] applies multispectral data to the field of ship target monitoring and combines the detection results with AIS, Provide supplementary information for ship identification.…”

Section: Introductionmentioning

confidence: 99%

Research on Maritime Navigation Perception Requirements of Intelligent Ships

Wang¹,

Gao²,

et al. 2022

J. Phys.: Conf. Ser.

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Aiming at the problem that in the research and development process of the intelligent ship perception system, the fuzzy understanding of the perception demand causes the perception equipment to be inconsistent with the ship’s autonomous collision avoidance needs, based on the application practice of the 1972 “International Maritime Collision Avoidance Regulations” and the good marine craftsmanship of the mariners Based on the comparison and experience summary method, the ship pilot’s perception of navigation obstacles is analyzed, and the requirements for intelligent ship navigation perception at sea are proposed from five aspects: vision, ARPA radar, AIS, human-computer interaction, and electronic chart, it can provide theoretical support for the research of intelligent ship sensing system.

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Fusion of Ship Perceptual Information for Electronic Navigational Chart and Radar Images based on Deep Learning

Cited by 12 publications

References 20 publications

A Survey of Intelligent Detection Designs of HTML URL Phishing Attacks

A Survey of Intelligent Detection Designs of HTML URL Phishing Attacks

Autonomous Catamaran Unmanned Surface Vessel Based on GPS And Radar

Research on Maritime Navigation Perception Requirements of Intelligent Ships

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