Unmanned Surface Vessel for Marine Data Acquisition

Dobref, Vasile; Popa, Ionel; Popov, Petrica; Scurtu, Ionuţ Cristian

doi:10.1088/1755-1315/172/1/012034

Cited by 14 publications

(11 citation statements)

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“…The main constructive characteristics can be found in the table 1. [15] Fig. 4 WAM-V Surface Drone -This surface drone was used by the company GOOGLE to map the coast of the San Francisco Seashore.…”

Section: Surface Platform Modelsmentioning

confidence: 99%

“…and sonar for underwater research. [15] In figure 5 we can see the design and construction of the drone, and the main constructive characteristics are found in table 2.…”

Section: Surface Platform Modelsmentioning

confidence: 99%

“…The main advantages for using these types of platforms (Figure 3) in different operations and missions, are the following [5], [15], [16]:…”

Section: Drones/surface Platforms 21 Introductory Notes Overviewmentioning

confidence: 99%

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State of the Art - Drones/Surface Platforms and Green Energy

Popa,

Popescu,

Mocanu

2023

IOP Conf. Ser.: Earth Environ. Sci.

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This paper presents a summary of what surface drones mean and the possibility of using these platforms in pollution problems. Also, in this paper, the authors have proposed to predict (in the form of a review) the possibility of producing the electricity needed for these platforms with the help of photovoltaic panels and the storage of energy in different types of batteries. This paper is a summary of what drones/surface platforms entail, the production of electricity using photovoltaic panels and an overview of battery types.

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Section: Surface Platform Modelsmentioning

confidence: 99%

“…and sonar for underwater research. [15] In figure 5 we can see the design and construction of the drone, and the main constructive characteristics are found in table 2.…”

Section: Surface Platform Modelsmentioning

confidence: 99%

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State of the Art - Drones/Surface Platforms and Green Energy

Popa,

Popescu,

Mocanu

2023

IOP Conf. Ser.: Earth Environ. Sci.

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Section: Introductionmentioning

confidence: 99%

“…As the unique identification of a ship, the vessel plate number plays an indispensable role in the process of the USVs carrying out the missions above. In practice, identifying a ship through the vessel plate number can provide the basic information of the target vessels for USVs, which contributes to responding to an emergency (Dobref et al, 2018 ). In general, the methods for identifying a ship depending on specific facilities such as Automatic Identification System (AIS), Long-Range Identification and Tracking (LRIT) (Harati-Mokhtari et al, 2007 ; García-Silveira et al, 2022 ; Pouyaei et al, 2022 ).…”

Section: Introductionmentioning

confidence: 99%

Automatic vessel plate number recognition for surface unmanned vehicles with marine applications

Zhang

et al. 2023

Front. Neurorobot.

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In the practical application scenarios of USVs, it is necessary to identify a vessel in order to accomplish tasks. Considering the sensors equipped on the USV, visible images provide the fastest and most efficient way of determining the hull number. The current studies divide the task of recognizing vessel plate number into two independent subtasks: text localization in the image and its recognition. Then, researchers are focusing on improving the accuracy of localization and recognition separately. However, these methods cannot be directly applied to USVs due to the difference between these two application scenarios. In addition, as the two independent models are serial, there will be inevitable propagation of error between them, as well as an increase in time costs, resulting in a less satisfactory performance. In view of the above, we proposed a method based on object detection model for recognizing vessel plate number in complicated sea environments applied to USVs. The accuracy and stability of model have been promoted by recursive gated convolution structure, decoupled head, reconstructing loss function, and redesigning the sizes of anchor boxes. To facilitate this research, a vessel plate number dataset is established in this paper. Furthermore, we conducted a experiment utilizing a USV platform in the South China Sea. Compared with the original YOLOv5, the mAP (mean Average Precision) value of proposed method is increased by 6.23%. The method is employed on the “Tian Xing” USV platform and the experiment results indicates both the ship and vessel plate number can be recognized in real-time. In both the civilian and military sectors, this has a great deal of significance.

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