AUV control system and sonar target identification Article Swipe
Jiamin Zhang
,
Zeng Qing-jun
,
Zhiyu Zhu
,
Xiaoqiang Dai
,
Jinyi Yao
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.19693/j.issn.1673-3185.01192
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.19693/j.issn.1673-3185.01192
[Objectives] In order to meet the requirements of underwater search and rescue,exploration, target detection and tracking,[Methods] we carry out a target identification test for the developed "T-SEA I" AUV,through which a typical frame is selected for the target detection and identification from the acquired moving target images by virtue of the front-view sonar;describe the system composition and working principles of "T-SEA I" AUV;then propose a framework for a control system in which laptop and surface control box act as a surface control unit,PC104 industrial control board acts as the main control unit of an autopilot and the PC104 camera board processes the camera images separately;use three-frame difference method to detected the sonar target,and extract the target characteristics according to a fast ellipse detection algorithm based on Hough transform.[Results] The lake test shows that the AUV runs reliably and normally and meets the requirements of underwater work;the sonar target identification is good.[Conclusions] This AUV's control system structure and target identification method can provide a reference for the development of medium and large-scale AUVs and the target identifications in other fields such as video,infrared,etc.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doaj.org/article/67a15d9e567148719c69bf8d2195b4f6
- OA Status
- green
- Cited By
- 2
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- 10
- OpenAlex ID
- https://openalex.org/W3213008666
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3213008666Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.19693/j.issn.1673-3185.01192Digital Object Identifier
- Title
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AUV control system and sonar target identificationWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2018Year of publication
- Publication date
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2018-12-01Full publication date if available
- Authors
-
Jiamin Zhang, Zeng Qing-jun, Zhiyu Zhu, Xiaoqiang Dai, Jinyi YaoList of authors in order
- Landing page
-
https://doaj.org/article/67a15d9e567148719c69bf8d2195b4f6Publisher landing page
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://doaj.org/article/67a15d9e567148719c69bf8d2195b4f6Direct OA link when available
- Concepts
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Sonar, Identification (biology), Computer science, Control (management), Artificial intelligence, Biology, EcologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 1, 2022: 1Per-year citation counts (last 5 years)
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.three-frame | 105 |
| abstract_inverted_index.requirements | 6, 142 |
| abstract_inverted_index.identification | 21, 40, 148, 158 |
| abstract_inverted_index.separately;use | 104 |
| abstract_inverted_index.sonar;describe | 52 |
| abstract_inverted_index.characteristics | 116 |
| abstract_inverted_index.identifications | 175 |
| abstract_inverted_index.<b>[Objectives]</b> | 0 |
| abstract_inverted_index.rescue,exploration, | 11 |
| abstract_inverted_index.video,infrared,etc. | 181 |
| abstract_inverted_index.good.<b>[Conclusions]</b> | 150 |
| abstract_inverted_index.tracking,<b>[Methods]</b> | 15 |
| abstract_inverted_index.transform.<b>[Results]</b> | 127 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 89 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/14 |
| sustainable_development_goals[0].score | 0.8199999928474426 |
| sustainable_development_goals[0].display_name | Life below water |
| citation_normalized_percentile.value | 0.41715075 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |