Current Status of Research on Marine Intelligent Unmanned Equipment Detection Based on Multi-Physics Fields
The marine intelligent unmanned equipment represented by unmanned undersea vehicles and unmanned surface vessels have the characteristics of large number, small size, high degree of intelligence, and wide range of tasks. Future naval warfare missions will use lots of marine intelligent unmanned equi...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Science Press (China)
2024-12-01
|
| Series: | 水下无人系统学报 |
| Subjects: | |
| Online Access: | https://sxwrxtxb.xml-journal.net/cn/article/doi/10.11993/j.issn.2096-3920.2024-0048 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841557006210564096 |
|---|---|
| author | Yuyang WANG Fang JI Shaoqing LU Guonan LI |
| author_facet | Yuyang WANG Fang JI Shaoqing LU Guonan LI |
| author_sort | Yuyang WANG |
| collection | DOAJ |
| description | The marine intelligent unmanned equipment represented by unmanned undersea vehicles and unmanned surface vessels have the characteristics of large number, small size, high degree of intelligence, and wide range of tasks. Future naval warfare missions will use lots of marine intelligent unmanned equipment, so the detection technology of marine unmanned intelligent equipment has become one of the key technologies in the armament and scientific research of all countries. This paper provided an overview of the detection methods of marine intelligent unmanned equipment in recent years in various countries, covering the optical, electric, magnetic, and other information sources of new types of physical fields. The feasibility of multi-system collaborative detection and multi-information omnidirectional sensing techniques was analyzed, while the current research status of deep intelligent algorithm-based line-spectrum feature detection was described. In the future, the detection of marine intelligent unmanned equipment will develop towards intelligence, clustering, high precision, robustness, and timeliness, and further improving the level of underwater target recognition will be an important research direction. |
| format | Article |
| id | doaj-art-44f582eec9b24fb49fa5eaae948a204a |
| institution | Kabale University |
| issn | 2096-3920 |
| language | zho |
| publishDate | 2024-12-01 |
| publisher | Science Press (China) |
| record_format | Article |
| series | 水下无人系统学报 |
| spelling | doaj-art-44f582eec9b24fb49fa5eaae948a204a2025-01-07T02:42:15ZzhoScience Press (China)水下无人系统学报2096-39202024-12-013261131114010.11993/j.issn.2096-3920.2024-00482024-0048Current Status of Research on Marine Intelligent Unmanned Equipment Detection Based on Multi-Physics FieldsYuyang WANG0Fang JI1Shaoqing LU2Guonan LI3College of Shipbuilding Engineering, Harbin Engineering University, Harbin 150001, ChinaCollege of Shipbuilding Engineering, Harbin Engineering University, Harbin 150001, ChinaChina Ship Research and Development Academy, Beijing 100192, ChinaChina Ship Research and Development Academy, Beijing 100192, ChinaThe marine intelligent unmanned equipment represented by unmanned undersea vehicles and unmanned surface vessels have the characteristics of large number, small size, high degree of intelligence, and wide range of tasks. Future naval warfare missions will use lots of marine intelligent unmanned equipment, so the detection technology of marine unmanned intelligent equipment has become one of the key technologies in the armament and scientific research of all countries. This paper provided an overview of the detection methods of marine intelligent unmanned equipment in recent years in various countries, covering the optical, electric, magnetic, and other information sources of new types of physical fields. The feasibility of multi-system collaborative detection and multi-information omnidirectional sensing techniques was analyzed, while the current research status of deep intelligent algorithm-based line-spectrum feature detection was described. In the future, the detection of marine intelligent unmanned equipment will develop towards intelligence, clustering, high precision, robustness, and timeliness, and further improving the level of underwater target recognition will be an important research direction.https://sxwrxtxb.xml-journal.net/cn/article/doi/10.11993/j.issn.2096-3920.2024-0048marine intelligent unmanned equipmenttarget recognitionline-spectrum featuremulti-physics field information |
| spellingShingle | Yuyang WANG Fang JI Shaoqing LU Guonan LI Current Status of Research on Marine Intelligent Unmanned Equipment Detection Based on Multi-Physics Fields 水下无人系统学报 marine intelligent unmanned equipment target recognition line-spectrum feature multi-physics field information |
| title | Current Status of Research on Marine Intelligent Unmanned Equipment Detection Based on Multi-Physics Fields |
| title_full | Current Status of Research on Marine Intelligent Unmanned Equipment Detection Based on Multi-Physics Fields |
| title_fullStr | Current Status of Research on Marine Intelligent Unmanned Equipment Detection Based on Multi-Physics Fields |
| title_full_unstemmed | Current Status of Research on Marine Intelligent Unmanned Equipment Detection Based on Multi-Physics Fields |
| title_short | Current Status of Research on Marine Intelligent Unmanned Equipment Detection Based on Multi-Physics Fields |
| title_sort | current status of research on marine intelligent unmanned equipment detection based on multi physics fields |
| topic | marine intelligent unmanned equipment target recognition line-spectrum feature multi-physics field information |
| url | https://sxwrxtxb.xml-journal.net/cn/article/doi/10.11993/j.issn.2096-3920.2024-0048 |
| work_keys_str_mv | AT yuyangwang currentstatusofresearchonmarineintelligentunmannedequipmentdetectionbasedonmultiphysicsfields AT fangji currentstatusofresearchonmarineintelligentunmannedequipmentdetectionbasedonmultiphysicsfields AT shaoqinglu currentstatusofresearchonmarineintelligentunmannedequipmentdetectionbasedonmultiphysicsfields AT guonanli currentstatusofresearchonmarineintelligentunmannedequipmentdetectionbasedonmultiphysicsfields |