{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T19:33:02Z","timestamp":1780428782166,"version":"3.54.1"},"reference-count":51,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Science and Technology Project of Shaanxi Province Yinhan Jiwei Engineering Construction Company Ltd.","award":["SPS-D-15"],"award-info":[{"award-number":["SPS-D-15"]}]},{"DOI":"10.13039\/501100017592","name":"Key Science and Technology Program of Shaanxi Province","doi-asserted-by":"publisher","award":["2020slkj-5"],"award-info":[{"award-number":["2020slkj-5"]}],"id":[{"id":"10.13039\/501100017592","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005046","name":"Natural Science Foundation of Heilongjiang Province Key Project","doi-asserted-by":"publisher","award":["ZD2020E005"],"award-info":[{"award-number":["ZD2020E005"]}],"id":[{"id":"10.13039\/501100005046","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52071104"],"award-info":[{"award-number":["52071104"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tim.2023.3348890","type":"journal-article","created":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T19:35:01Z","timestamp":1704137701000},"page":"1-15","source":"Crossref","is-referenced-by-count":23,"title":["Research on Real Time Obstacle Avoidance Method for AUV Based on Combination of ViT-DPFN and MPC"],"prefix":"10.1109","volume":"73","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0857-2906","authenticated-orcid":false,"given":"Haotian","family":"Zheng","sequence":"first","affiliation":[{"name":"Science and Technology on Underwater Vehicle Laboratory, Harbin Engineering University, Harbin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5312-2413","authenticated-orcid":false,"given":"Yushan","family":"Sun","sequence":"additional","affiliation":[{"name":"Science and Technology on Underwater Vehicle Laboratory, Harbin Engineering University, Harbin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8604-5554","authenticated-orcid":false,"given":"Guocheng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Science and Technology on Underwater Vehicle Laboratory, Harbin Engineering University, Harbin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-1122-3459","authenticated-orcid":false,"given":"Liwen","family":"Zhang","sequence":"additional","affiliation":[{"name":"Science and Technology on Underwater Vehicle Laboratory, Harbin Engineering University, Harbin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-0566-0749","authenticated-orcid":false,"given":"Wenbo","family":"Zhang","sequence":"additional","affiliation":[{"name":"Aerospace Science and Industry Shenzhen (Group) Company, Ltd., Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1202","article-title":"Potential of autonomous underwater vehicles as new generation ocean data platforms","volume":"90","author":"Desa","year":"2006","journal-title":"Current Sci."},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/OCEANS.2002.1191959"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-020-09664-1"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1049\/ipr2.12247"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.01.056"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1049\/iet-ipr.2019.0695"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s11001-020-09417-7"},{"key":"ref8","first-page":"1","article-title":"Side scan sonar segmentation using deep convolutional neural network","volume-title":"Proc. OCEANS Anchorage","author":"Song"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2020.12.1459"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/AUV.2016.7778702"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2019.2960796"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s11760-020-01841-x"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/OCEANS-Bergen.2013.6608088"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/7816263"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICMA.2017.8016038"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.apor.2018.12.008"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/UT.2019.8734314"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2960859"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/6523158"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/USYS.2018.8779160"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1017\/S0373463318000668"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2021.104011"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICUAS.2016.7502541"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.01.033"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.2514\/1.50923"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3390\/en12132596"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.oceaneng.2022.110737"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-022-01854-w"},{"key":"ref29","article-title":"Next-ViT: Next generation vision transformer for efficient deployment in realistic industrial scenarios","author":"Li","year":"2022","journal-title":"arXiv:2207.05501"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/592"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01167"},{"key":"ref34","article-title":"MetaFormer: A unified meta framework for fine-grained recognition","author":"Diao","year":"2022","journal-title":"arXiv:2203.02751"},{"key":"ref35","article-title":"On the relationship between self-attention and convolutional layers","author":"Cordonnier","year":"2019","journal-title":"arXiv:1911.03584"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00983"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.2983686"},{"key":"ref38","article-title":"LambdaNetworks: Modeling long-range interactions without attention","author":"Bello","year":"2021","journal-title":"arXiv:2102.08602"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01044"},{"key":"ref40","first-page":"21002","article-title":"Generalized focal loss: Learning qualified and distributed bounding boxes for dense object detection","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Li"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00972"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00978"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1002\/9781119994138"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.arcontrol.2016.04.018"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.oceaneng.2018.04.026"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.3390\/info11020125"},{"key":"ref47","article-title":"Deformable DETR: Deformable transformers for end-to-end object detection","author":"Zhu","year":"2020","journal-title":"arXiv:2010.04159"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01422"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/3477265"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.apor.2021.103006"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/19\/10367905\/10379127.pdf?arnumber=10379127","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T17:26:33Z","timestamp":1729617993000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10379127\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":51,"URL":"https:\/\/doi.org\/10.1109\/tim.2023.3348890","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}