{"id":"https://openalex.org/W4403510271","doi":"https://doi.org/10.1109/access.2024.3482850","title":"DC-DOES: A Dual-Camera Deep Learning Approach for Robust Orientation Estimation in Maritime Environments","display_name":"DC-DOES: A Dual-Camera Deep Learning Approach for Robust Orientation Estimation in Maritime Environments","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4403510271","doi":"https://doi.org/10.1109/access.2024.3482850"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3482850","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3482850","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3482850","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015897920","display_name":"Fabiana Di Ciaccio","orcid":"https://orcid.org/0000-0002-4271-2255"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"education","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabiana Di Ciaccio","raw_affiliation_strings":["Department of Civil and Environmental Engineering, University of Florence, Florence, Italy","Department of Civil and Environmental Engineering, University of Florence, via S. Marta 3, Florence, Italy"],"raw_orcid":"https://orcid.org/0000-0002-4271-2255","affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, University of Florence, Florence, Italy","institution_ids":["https://openalex.org/I45084792"]},{"raw_affiliation_string":"Department of Civil and Environmental Engineering, University of Florence, via S. Marta 3, Florence, Italy","institution_ids":["https://openalex.org/I45084792"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051502350","display_name":"Salvatore Troisi","orcid":"https://orcid.org/0000-0002-4311-6156"},"institutions":[{"id":"https://openalex.org/I183638586","display_name":"Parthenope University of Naples","ror":"https://ror.org/05pcv4v03","country_code":"IT","type":"education","lineage":["https://openalex.org/I183638586"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Salvatore Troisi","raw_affiliation_strings":["Department of Science and Technology, Parthenope University of Naples, Naples, Italy","Department of Science and Technology, Parthenope University of Naples, Centro Direzionale Isola C4, Naples, Italy"],"raw_orcid":"https://orcid.org/0000-0002-4311-6156","affiliations":[{"raw_affiliation_string":"Department of Science and Technology, Parthenope University of Naples, Naples, Italy","institution_ids":["https://openalex.org/I183638586"]},{"raw_affiliation_string":"Department of Science and Technology, Parthenope University of Naples, Centro Direzionale Isola C4, Naples, Italy","institution_ids":["https://openalex.org/I183638586"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062555637","display_name":"Paolo Russo","orcid":"https://orcid.org/0000-0002-1886-3491"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Paolo Russo","raw_affiliation_strings":["Department of Computer, Control and Management Engineering &#x201C;Antonio Ruberti,&#x201D; University of Rome La Sapienza, Rome, Italy","Department of Computer, Control and Management Engineering &#x201C;Antonio Ruberti&#x201D;, University of Rome La Sapienza, via Ariosto 25, Rome, Italy"],"raw_orcid":"https://orcid.org/0000-0002-1886-3491","affiliations":[{"raw_affiliation_string":"Department of Computer, Control and Management Engineering &#x201C;Antonio Ruberti,&#x201D; University of Rome La Sapienza, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]},{"raw_affiliation_string":"Department of Computer, Control and Management Engineering &#x201C;Antonio Ruberti&#x201D;, University of Rome La Sapienza, via Ariosto 25, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25370394,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"161637","last_page":"161648"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9722999930381775,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9722999930381775,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11622","display_name":"Maritime Navigation and Safety","score":0.972100019454956,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9528999924659729,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6848251819610596},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6721577048301697},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6304076910018921},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.6140342354774475},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5914236903190613},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5069808959960938},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41226208209991455},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11514624953269958},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08359837532043457}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6848251819610596},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6721577048301697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6304076910018921},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.6140342354774475},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5914236903190613},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5069808959960938},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41226208209991455},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11514624953269958},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08359837532043457},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/access.2024.3482850","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3482850","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1ffa59c9a4174f54bc87bb09afe9ab47","is_oa":true,"landing_page_url":"https://doaj.org/article/1ffa59c9a4174f54bc87bb09afe9ab47","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 161637-161648 (2024)","raw_type":"article"},{"id":"pmh:oai:flore.unifi.it:2158/1424134","is_oa":false,"landing_page_url":"https://hdl.handle.net/2158/1424134","pdf_url":null,"source":{"id":"https://openalex.org/S4306402033","display_name":"Florence Research (University of Florence)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45084792","host_organization_name":"University of Florence","host_organization_lineage":["https://openalex.org/I45084792"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:iris.uniroma1.it:11573/1726041","is_oa":true,"landing_page_url":"https://hdl.handle.net/11573/1726041","pdf_url":null,"source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3482850","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3482850","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W2003410899","https://openalex.org/W2032160168","https://openalex.org/W2037034232","https://openalex.org/W2044831755","https://openalex.org/W2108598243","https://openalex.org/W2122750542","https://openalex.org/W2134373387","https://openalex.org/W2182977717","https://openalex.org/W2331577291","https://openalex.org/W2336445371","https://openalex.org/W2529122122","https://openalex.org/W2564804471","https://openalex.org/W2565829216","https://openalex.org/W2612848726","https://openalex.org/W2618272117","https://openalex.org/W2733040768","https://openalex.org/W2759375001","https://openalex.org/W2883767467","https://openalex.org/W2897333573","https://openalex.org/W2898002610","https://openalex.org/W2946539997","https://openalex.org/W2950304854","https://openalex.org/W2962861284","https://openalex.org/W2963446712","https://openalex.org/W2969700004","https://openalex.org/W2982083293","https://openalex.org/W3002651608","https://openalex.org/W3003233851","https://openalex.org/W3013706580","https://openalex.org/W3035289617","https://openalex.org/W3104978629","https://openalex.org/W3120949485","https://openalex.org/W3123421385","https://openalex.org/W3125141208","https://openalex.org/W3130482258","https://openalex.org/W3200586590","https://openalex.org/W3201189310","https://openalex.org/W3209462354","https://openalex.org/W3209856139","https://openalex.org/W4206916394","https://openalex.org/W4225550807","https://openalex.org/W4283373333","https://openalex.org/W4290043229","https://openalex.org/W4296188872","https://openalex.org/W4306812399","https://openalex.org/W4310014471","https://openalex.org/W4312847199","https://openalex.org/W4313052480","https://openalex.org/W4323020910","https://openalex.org/W4379054135","https://openalex.org/W4379382424","https://openalex.org/W4385486105","https://openalex.org/W4385938212","https://openalex.org/W4387176632","https://openalex.org/W4389668085","https://openalex.org/W4393972863","https://openalex.org/W4399567607","https://openalex.org/W6677397839","https://openalex.org/W6691288328","https://openalex.org/W6729059855","https://openalex.org/W6842108812"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W4230611425","https://openalex.org/W2731899572","https://openalex.org/W2576994247","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W2608353378","https://openalex.org/W4249206767","https://openalex.org/W2317351040"],"abstract_inverted_index":{"Attitude":[0],"and":[1,10,60,72,86,124,134,140,148,153,174,190,202,248],"Heading":[2],"Reference":[3],"Systems":[4],"(AHRS)":[5],"have":[6,54,193],"achieved":[7],"significant":[8],"accuracy":[9],"reliability,":[11],"making":[12,240],"them":[13],"suitable":[14,243],"for":[15,57,160,184,225,245],"various":[16],"applications.":[17],"This":[18,62,110],"is":[19,112,138,166],"possible":[20],"through":[21],"the":[22,65,169,188,191,218],"integration":[23],"of":[24,214,220],"high-rate":[25],"measurements,":[26],"though":[27],"they":[28],"remain":[29],"prone":[30],"to":[31,83,97,144,198],"errors,":[32],"particularly":[33],"sensor":[34],"drift":[35],"over":[36],"time.":[37],"As":[38],"a":[39,78,103,107,115,121,130,209,242],"potential":[40,219],"solution,":[41],"AHRS":[42,92,123],"can":[43],"be":[44,155],"combined":[45],"with":[46],"complementary":[47],"devices,":[48],"such":[49],"as":[50],"camera-based":[51],"systems,":[52],"which":[53,180],"attracted":[55],"attention":[56],"their":[58],"cost-effectiveness":[59],"simplicity.":[61],"study":[63],"introduces":[64],"Double":[66,170],"Camera":[67,171],"-":[68,172],"Deep":[69,79],"Orientation":[70],"(roll":[71],"pitch)":[73],"Estimation":[74],"at":[75,93,163,176],"Sea":[76,177],"(DC-DOES),":[77],"Learning":[80],"model":[81],"developed":[82],"enhance":[84],"roll":[85],"pitch":[87],"estimations":[88],"obtained":[89],"from":[90],"conventional":[91],"sea.":[94,164],"In":[95],"comparison":[96],"previous":[98],"versions,":[99],"DC-DOES":[100,137,241],"operates":[101],"in":[102,129,150,231],"novel":[104],"configuration":[105],"utilizing":[106],"double-camera":[108],"system.":[109],"system":[111],"based":[113],"on":[114,142,158,168],"Jetson":[116],"Nano":[117],"embedded":[118],"platform,":[119],"integrating":[120],"low-cost":[122],"two":[125],"synchronized":[126],"cameras,":[127],"resulting":[128],"fully":[131],"customizable":[132],"acquisition":[133],"processing":[135],"setup.":[136],"trained":[139,167],"validated":[141],"shore":[143],"assess":[145],"its":[146,235],"effectiveness":[147],"robustness":[149,236],"controlled":[151],"conditions":[152],"will":[154],"further":[156,200],"deployed":[157],"board":[159],"real-time":[161],"applications":[162],"It":[165],"ROll":[173],"PItch":[175],"(DC-ROPIS)":[178],"dataset,":[179],"was":[181],"specifically":[182],"collected":[183],"this":[185,221],"purpose.":[186],"Both":[187],"code":[189],"dataset":[192],"been":[194],"made":[195],"publicly":[196],"available":[197],"encourage":[199],"use":[201],"improvement.":[203],"The":[204],"results":[205],"are":[206],"promising,":[207],"achieving":[208],"Mean":[210],"Absolute":[211],"Error":[212],"(MAE)":[213],"approximately":[215],"1\u00b0,":[216],"highlighting":[217],"cost-effective,":[222],"reliable":[223],"solution":[224,244],"orientation":[226],"estimation":[227],"tasks.":[228],"Additionally,":[229],"tests":[230],"low-light":[232],"scenarios":[233],"demonstrated":[234],"under":[237],"challenging":[238],"conditions,":[239],"maritime":[246],"navigation":[247],"beyond.":[249]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
