{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T09:00:11Z","timestamp":1769158811480,"version":"3.49.0"},"reference-count":58,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100008530","name":"European Regional Development Fund","doi-asserted-by":"publisher","award":["POCI-01-0145-FEDER-030010"],"award-info":[{"award-number":["POCI-01-0145-FEDER-030010"]}],"id":[{"id":"10.13039\/501100008530","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001871","name":"Funda??o para a Ci?ncia e a Tecnologia","doi-asserted-by":"publisher","award":["POCI-01-0145-FEDER-030010"],"award-info":[{"award-number":["POCI-01-0145-FEDER-030010"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001871","name":"Funda??o para a Ci?ncia e a Tecnologia","doi-asserted-by":"publisher","award":["SFRH-BD-144263-2019"],"award-info":[{"award-number":["SFRH-BD-144263-2019"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010661","name":"Horizon 2020 Framework Programme","doi-asserted-by":"publisher","award":["871571"],"award-info":[{"award-number":["871571"]}],"id":[{"id":"10.13039\/100010661","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2022.3217504","type":"journal-article","created":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T23:22:33Z","timestamp":1667517753000},"page":"113355-113375","source":"Crossref","is-referenced-by-count":17,"title":["Modular Multi-Domain Aware Autonomous Surface Vehicle for Inspection"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3982-1856","authenticated-orcid":false,"given":"Daniel Filipe","family":"Campos","sequence":"first","affiliation":[{"name":"Faculty of Engineering, University of Porto, Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9771-002X","authenticated-orcid":false,"given":"An\u00edbal","family":"Matos","sequence":"additional","affiliation":[{"name":"Faculty of Engineering, University of Porto, Porto, Portugal"}]},{"given":"Andry Maykol","family":"Pinto","sequence":"additional","affiliation":[{"name":"Faculty of Engineering, University of Porto, Porto, Portugal"}]}],"member":"263","reference":[{"key":"ref39","author":"pereira","year":"2020","journal-title":"DORACRAS—Docking-Based Structures Dataset"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8967909"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2955241"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2015.2412251"},{"key":"ref31","article-title":"NuScenes: A multimodal dataset for autonomous driving","author":"caesar","year":"2019","journal-title":"arXiv 1903 11027"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2018.08.004"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.23919\/OCEANS44145.2021.9705954"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1177\/0278364917732838"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/OCEANS.2016.7761315"},{"key":"ref34","author":"perrine","year":"2010","journal-title":"Five–Element Acoustic Underwater Dataset"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.23919\/OCEANS44145.2021.9706059"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2019.07.014"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1177\/0278364913491297"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.23919\/OCEANS44145.2021.9705939"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.joes.2017.05.003"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1002\/rob.21478"},{"key":"ref22","first-page":"379","article-title":"Dense disparity maps from RGB and sparse depth information using deep regression models","volume":"12131","author":"leite","year":"2021","journal-title":"Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)"},{"key":"ref21","article-title":"Driving datasets literature review","author":"laflamme","year":"2019","journal-title":"arXiv 1910 11968"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.23919\/OCEANS40490.2019.8962693"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3082697"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2018.02.017"},{"key":"ref25","author":"pereira","year":"2020","journal-title":"A machine learning approach for predicting docking-based structures"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2019.103346"},{"key":"ref51","author":"campos","year":"2020","journal-title":"ROAM CRAS—A harbor multidomain mapping dataset"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2018.8593941"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.23919\/FUSION45008.2020.9190370"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2978406"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2014.6906584"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1007\/s42452-021-04451-5"},{"key":"ref53","article-title":"LiDAR-camera calibration using 3D-3D point correspondences","author":"dhall","year":"2017","journal-title":"arXiv 1705 09785"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/ICICIS.2010.5534797"},{"key":"ref10","author":"breivik","year":"2010","journal-title":"Topics in Guided Motion Control of Marine Vehicles"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s11804-010-1033-2"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3070694"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1049\/PBCE069E"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.2118\/197973-MS"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1002\/rob.21424"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/AUV.2008.5347598"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/OCEANSE.2009.5278235"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.5875\/ausmt.v1i2.122"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3390\/robotics8020047"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-28572-1_36"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICARSC.2019.8733643"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICARSC.2019.8733620"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICARSC49921.2020.9096107"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/IEEECONF38699.2020.9389348"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICARSC49921.2020.9096097"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8968156"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.3390\/s19235230"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.arcontrol.2016.04.018"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-08338-4_25"},{"key":"ref45","first-page":"1","article-title":"Zarco—An autonomous craft for underwater surveys","author":"cruz","year":"2007","journal-title":"Proc 7th Geomatic Week"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/IEEECONF38699.2020.9389349"},{"key":"ref47","author":"snyder","year":"1982","journal-title":"Map projections used by the U S Geological Survey"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460552"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/OCEANSAP.2016.7485524"},{"key":"ref44","first-page":"165","article-title":"MARVEL: A large-scale image dataset for maritime vessels","volume":"10115","author":"gundogdu","year":"2016","journal-title":"Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1002\/rob.21915"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09931133.pdf?arnumber=9931133","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,11]],"date-time":"2024-12-11T02:14:33Z","timestamp":1733883273000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9931133\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":58,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3217504","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}