LU502256B1 - Underwater topography aided navigation method based on improved salpa group algorithm - Google Patents
Underwater topography aided navigation method based on improved salpa group algorithm Download PDFInfo
- Publication number
- LU502256B1 LU502256B1 LU502256A LU502256A LU502256B1 LU 502256 B1 LU502256 B1 LU 502256B1 LU 502256 A LU502256 A LU 502256A LU 502256 A LU502256 A LU 502256A LU 502256 B1 LU502256 B1 LU 502256B1
- Authority
- LU
- Luxembourg
- Prior art keywords
- salpa
- topography
- improved
- positioning
- matching
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Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/38—Electronic maps specially adapted for navigation; Updating thereof
- G01C21/3804—Creation or updating of map data
- G01C21/3807—Creation or updating of map data characterised by the type of data
- G01C21/3826—Terrain data
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/10—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 by using measurements of speed or acceleration
- G01C21/12—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning
- G01C21/16—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning by integrating acceleration or speed, i.e. inertial navigation
- G01C21/165—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning by integrating acceleration or speed, i.e. inertial navigation combined with non-inertial navigation instruments
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/20—Instruments for performing navigational calculations
- G01C21/203—Specially adapted for sailing ships
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/004—Artificial life, i.e. computing arrangements simulating life
- G06N3/006—Artificial life, i.e. computing arrangements simulating life based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/12—Computing arrangements based on biological models using genetic models
- G06N3/126—Evolutionary algorithms, e.g. genetic algorithms or genetic programming
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/30—Assessment of water resources
Landscapes
- Engineering & Computer Science (AREA)
- Remote Sensing (AREA)
- Physics & Mathematics (AREA)
- Radar, Positioning & Navigation (AREA)
- Biophysics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Automation & Control Theory (AREA)
- Evolutionary Computation (AREA)
- Mathematical Physics (AREA)
- General Health & Medical Sciences (AREA)
- Molecular Biology (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Software Systems (AREA)
- Biomedical Technology (AREA)
- Artificial Intelligence (AREA)
- Genetics & Genomics (AREA)
- Physiology (AREA)
- Control Of Position, Course, Altitude, Or Attitude Of Moving Bodies (AREA)
- Position Fixing By Use Of Radio Waves (AREA)
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202111248320.5A CN113959448B (zh) | 2021-10-26 | 2021-10-26 | 一种基于改进樽海鞘群算法的水下地形辅助导航方法 |
Publications (1)
Publication Number | Publication Date |
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LU502256B1 true LU502256B1 (en) | 2023-02-09 |
Family
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Family Applications (1)
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LU502256A LU502256B1 (en) | 2021-10-26 | 2022-06-13 | Underwater topography aided navigation method based on improved salpa group algorithm |
Country Status (2)
Country | Link |
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CN (1) | CN113959448B (zh) |
LU (1) | LU502256B1 (zh) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
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CN114543809B (zh) * | 2022-02-18 | 2023-11-14 | 东南大学 | 基于改进遗传算法的多路径地形匹配方法 |
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US8260054B2 (en) * | 2008-09-22 | 2012-09-04 | Trend Micro Incorporated | Methods for matching image-based texual information with regular expressions |
CN110220510B (zh) * | 2019-06-03 | 2023-03-31 | 哈尔滨工程大学 | 一种考虑地图准确性的水下机器人海底地形匹配导航路径规划方法 |
CN110414584B (zh) * | 2019-07-22 | 2022-02-11 | 山东大学 | 汽车路谱聚类合成方法及系统 |
CN110516877A (zh) * | 2019-08-28 | 2019-11-29 | 青岛蓝海未来海洋科技有限责任公司 | 一种基于数据正反向驱动线性变参数遗传算法的无人艇路径规划方法及系统 |
CN110572126A (zh) * | 2019-09-19 | 2019-12-13 | 国网河南省电力公司焦作供电公司 | 一种基于樽海鞘算法的仿生智能孤岛检测方法 |
CN111031502A (zh) * | 2019-11-06 | 2020-04-17 | 湖北工业大学 | 一种基于樽海鞘群算法的无线传感器网络节点定位方法 |
CN111126549A (zh) * | 2019-12-24 | 2020-05-08 | 昆明理工大学 | 一种基于策略改进樽海鞘智能算法的双星光谱拟合方法 |
CN111432368B (zh) * | 2020-03-31 | 2022-10-21 | 中国人民解放军国防科技大学 | 一种适用于稀疏锚节点wsn的测距定位方法 |
CN113110490A (zh) * | 2021-05-07 | 2021-07-13 | 金陵科技学院 | 基于改进的樽海鞘群算法的机器人多目标路径规划 |
CN113036762B (zh) * | 2021-05-10 | 2022-05-24 | 中国建筑第五工程局有限公司 | 基于ssa算法的多通道电力信号模式的快速识别方法 |
CN113363963B (zh) * | 2021-05-20 | 2022-05-20 | 南昌大学 | 一种改进麻雀搜索算法优化三相sapf直流侧控制方法 |
CN113222285B (zh) * | 2021-05-31 | 2023-05-12 | 西安建筑科技大学 | 一种基于自适应扰动樽海鞘算法的露天矿充电桩选址方法 |
CN113270869B (zh) * | 2021-05-31 | 2022-07-29 | 河北工业大学 | 一种含光伏配电网的无功优化方法 |
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2021
- 2021-10-26 CN CN202111248320.5A patent/CN113959448B/zh active Active
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2022
- 2022-06-13 LU LU502256A patent/LU502256B1/en active IP Right Grant
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Publication number | Publication date |
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CN113959448B (zh) | 2023-08-29 |
CN113959448A (zh) | 2022-01-21 |
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