{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:17:04Z","timestamp":1760242624524,"version":"build-2065373602"},"reference-count":25,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2017,12,25]],"date-time":"2017-12-25T00:00:00Z","timestamp":1514160000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the National Nature Science Foundation of China","award":["61703335","51379176"],"award-info":[{"award-number":["61703335","51379176"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>By simulating the geomagnetic fields and analyzing thevariation of intensities, this paper presents a model for calculating the objective function ofan Autonomous Underwater Vehicle (AUV)geomagnetic navigation task. By investigating the biologically inspired strategies, the AUV successfullyreachesthe destination duringgeomagnetic navigation without using the priori geomagnetic map. Similar to the pattern of a flatworm, the proposed algorithm relies on a motion pattern to trigger a local searching strategy by detecting the real-time geomagnetic intensity. An adapted strategy is then implemented, which is biased on the specific target. The results show thereliabilityandeffectivenessofthe proposed algorithm.<\/jats:p>","DOI":"10.3390\/s18010039","type":"journal-article","created":{"date-parts":[[2017,12,26]],"date-time":"2017-12-26T03:06:38Z","timestamp":1514257598000},"page":"39","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Study on the Model of Detecting the Variation of Geomagnetic Intensity Based on an Adapted Motion Strategy"],"prefix":"10.3390","volume":"18","author":[{"given":"Hong","family":"Li","sequence":"first","affiliation":[{"name":"College of Marine Science and Technology, Northwestern Polytechnical University, Xi\u2019an 710072, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingyong","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Marine Science and Technology, Northwestern Polytechnical University, Xi\u2019an 710072, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kun","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Marine Science and Technology, Northwestern Polytechnical University, Xi\u2019an 710072, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1774-727X","authenticated-orcid":false,"given":"Feihu","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Marine Science and Technology, Northwestern Polytechnical University, Xi\u2019an 710072, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2017,12,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1007\/s10236-011-0509-1","article-title":"The use of autonomous underwater vehicles to map the variability of under-ice topography","volume":"62","author":"Wadhams","year":"2012","journal-title":"Ocean Dyn."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"451","DOI":"10.1016\/j.margeo.2014.03.012","article-title":"Autonomous Underwater Vehicles (AUVs): Their past, present and future contributions to the advancement of marine geoscience","volume":"352","author":"Wynn","year":"2014","journal-title":"Mar. 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