{"id":"https://openalex.org/W4312709753","doi":"https://doi.org/10.1109/taes.2022.3216823","title":"Recurrent Encoder\u2013Decoder Networks for Vessel Trajectory Prediction With Uncertainty Estimation","display_name":"Recurrent Encoder\u2013Decoder Networks for Vessel Trajectory Prediction With Uncertainty Estimation","publication_year":2022,"publication_date":"2022-11-11","ids":{"openalex":"https://openalex.org/W4312709753","doi":"https://doi.org/10.1109/taes.2022.3216823"},"language":"en","primary_location":{"id":"doi:10.1109/taes.2022.3216823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2022.3216823","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Aerospace and Electronic Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://flore.unifi.it/bitstream/2158/1312080/2/8_Recurrent_Encoder_Decoder_Networks_for_Vessel_Trajectory_Prediction_With_Uncertainty_Estimation_TAES_23.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048276519","display_name":"Samuele Capobianco","orcid":"https://orcid.org/0000-0003-1810-189X"},"institutions":[{"id":"https://openalex.org/I4210162703","display_name":"North Atlantic Treaty Organization","ror":"https://ror.org/05xagc088","country_code":"BE","type":"funder","lineage":["https://openalex.org/I4210162703"]}],"countries":["BE"],"is_corresponding":true,"raw_author_name":"Samuele Capobianco","raw_affiliation_strings":["NATO Science and Technology Organization (STO), NATO STO Centre for Maritime Research and Experimentation (CMRE), La Spezia, Italy"],"affiliations":[{"raw_affiliation_string":"NATO Science and Technology Organization (STO), NATO STO Centre for Maritime Research and Experimentation (CMRE), La Spezia, Italy","institution_ids":["https://openalex.org/I4210162703"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021918420","display_name":"Nicola Forti","orcid":"https://orcid.org/0000-0001-5510-1616"},"institutions":[{"id":"https://openalex.org/I4210162703","display_name":"North Atlantic Treaty Organization","ror":"https://ror.org/05xagc088","country_code":"BE","type":"funder","lineage":["https://openalex.org/I4210162703"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Nicola Forti","raw_affiliation_strings":["NATO STO Centre for Maritime Research and Experimentation (CMRE), La Spezia, Italy"],"affiliations":[{"raw_affiliation_string":"NATO STO Centre for Maritime Research and Experimentation (CMRE), La Spezia, Italy","institution_ids":["https://openalex.org/I4210162703"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049659813","display_name":"Leonardo M. Millefiori","orcid":"https://orcid.org/0000-0002-2242-0028"},"institutions":[{"id":"https://openalex.org/I4210162703","display_name":"North Atlantic Treaty Organization","ror":"https://ror.org/05xagc088","country_code":"BE","type":"funder","lineage":["https://openalex.org/I4210162703"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Leonardo Maria Millefiori","raw_affiliation_strings":["NATO STO Centre for Maritime Research and Experimentation (CMRE), La Spezia, Italy"],"affiliations":[{"raw_affiliation_string":"NATO STO Centre for Maritime Research and Experimentation (CMRE), La Spezia, Italy","institution_ids":["https://openalex.org/I4210162703"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042374975","display_name":"Paolo Braca","orcid":"https://orcid.org/0000-0002-3762-4373"},"institutions":[{"id":"https://openalex.org/I4210162703","display_name":"North Atlantic Treaty Organization","ror":"https://ror.org/05xagc088","country_code":"BE","type":"funder","lineage":["https://openalex.org/I4210162703"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Paolo Braca","raw_affiliation_strings":["NATO STO Centre for Maritime Research and Experimentation (CMRE), La Spezia, Italy"],"affiliations":[{"raw_affiliation_string":"NATO STO Centre for Maritime Research and Experimentation (CMRE), La Spezia, Italy","institution_ids":["https://openalex.org/I4210162703"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019392883","display_name":"Peter Willett","orcid":"https://orcid.org/0000-0001-8443-5586"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter Willett","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USA","institution_ids":["https://openalex.org/I140172145"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5048276519"],"corresponding_institution_ids":["https://openalex.org/I4210162703"],"apc_list":null,"apc_paid":null,"fwci":6.4636,"has_fulltext":true,"cited_by_count":45,"citation_normalized_percentile":{"value":0.97646675,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"59","issue":"3","first_page":"2554","last_page":"2565"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11622","display_name":"Maritime Navigation and Safety","score":0.9980000257492065,"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"}},"topics":[{"id":"https://openalex.org/T11622","display_name":"Maritime Navigation and Safety","score":0.9980000257492065,"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/T11604","display_name":"Ship Hydrodynamics and Maneuverability","score":0.9790999889373779,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9427000284194946,"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/trajectory","display_name":"Trajectory","score":0.7843834161758423},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7017675638198853},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.623149573802948},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5729395747184753},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5429989099502563},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5416349768638611},{"id":"https://openalex.org/keywords/uncertainty-quantification","display_name":"Uncertainty quantification","score":0.506098210811615},{"id":"https://openalex.org/keywords/automatic-identification-system","display_name":"Automatic Identification System","score":0.5013394355773926},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4883413016796112},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48192524909973145},{"id":"https://openalex.org/keywords/mean-squared-prediction-error","display_name":"Mean squared prediction error","score":0.4535166323184967},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37470245361328125}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7843834161758423},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7017675638198853},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.623149573802948},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5729395747184753},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5429989099502563},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5416349768638611},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.506098210811615},{"id":"https://openalex.org/C146997752","wikidata":"https://www.wikidata.org/wiki/Q787197","display_name":"Automatic Identification System","level":2,"score":0.5013394355773926},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4883413016796112},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48192524909973145},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.4535166323184967},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37470245361328125},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/taes.2022.3216823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2022.3216823","pdf_url":null,"source":{"id":"https://openalex.org/S193624734","display_name":"IEEE Transactions on Aerospace and Electronic Systems","issn_l":"0018-9251","issn":["0018-9251","1557-9603","2371-9877"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Aerospace and Electronic Systems","raw_type":"journal-article"},{"id":"pmh:oai:flore.unifi.it:2158/1312080","is_oa":true,"landing_page_url":"https://hdl.handle.net/2158/1312080","pdf_url":"https://flore.unifi.it/bitstream/2158/1312080/2/8_Recurrent_Encoder_Decoder_Networks_for_Vessel_Trajectory_Prediction_With_Uncertainty_Estimation_TAES_23.pdf","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":"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":"pmh:oai:flore.unifi.it:2158/1312080","is_oa":true,"landing_page_url":"https://hdl.handle.net/2158/1312080","pdf_url":"https://flore.unifi.it/bitstream/2158/1312080/2/8_Recurrent_Encoder_Decoder_Networks_for_Vessel_Trajectory_Prediction_With_Uncertainty_Estimation_TAES_23.pdf","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":"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"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4312709753.pdf","grobid_xml":"https://content.openalex.org/works/W4312709753.grobid-xml"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W582134693","https://openalex.org/W1567512734","https://openalex.org/W2022603014","https://openalex.org/W2025357764","https://openalex.org/W2095705004","https://openalex.org/W2130494750","https://openalex.org/W2131774270","https://openalex.org/W2133564696","https://openalex.org/W2143612262","https://openalex.org/W2212703438","https://openalex.org/W2215617441","https://openalex.org/W2424778531","https://openalex.org/W2532516272","https://openalex.org/W2572270144","https://openalex.org/W2600383743","https://openalex.org/W2743711613","https://openalex.org/W2769735038","https://openalex.org/W2809127489","https://openalex.org/W2810469995","https://openalex.org/W2886960696","https://openalex.org/W2890403672","https://openalex.org/W2902297500","https://openalex.org/W2908510526","https://openalex.org/W2944924828","https://openalex.org/W2949119045","https://openalex.org/W2952825952","https://openalex.org/W2963192057","https://openalex.org/W2963238274","https://openalex.org/W2964030506","https://openalex.org/W2972599895","https://openalex.org/W2979995175","https://openalex.org/W3012815794","https://openalex.org/W3015961574","https://openalex.org/W3026482450","https://openalex.org/W3034826969","https://openalex.org/W3085973453","https://openalex.org/W3101129902","https://openalex.org/W3109182714","https://openalex.org/W3197852213","https://openalex.org/W3207160263","https://openalex.org/W3209024689","https://openalex.org/W3213657769","https://openalex.org/W4214612842","https://openalex.org/W4226213199","https://openalex.org/W4236210769","https://openalex.org/W4308480339","https://openalex.org/W6617145748","https://openalex.org/W6674330103","https://openalex.org/W6679329542","https://openalex.org/W6679434410","https://openalex.org/W6682824805","https://openalex.org/W6688167117","https://openalex.org/W6730042731","https://openalex.org/W6735443497","https://openalex.org/W6753254651","https://openalex.org/W6757817989"],"related_works":["https://openalex.org/W2788604587","https://openalex.org/W1825213478","https://openalex.org/W4381804811","https://openalex.org/W3204226455","https://openalex.org/W4296295802","https://openalex.org/W4312902336","https://openalex.org/W4311603024","https://openalex.org/W4285102027","https://openalex.org/W4284898377","https://openalex.org/W3191569364"],"abstract_inverted_index":{"Recent":[0],"deep":[1,58],"learning":[2,59],"methods":[3],"for":[4,61],"vessel":[5,28],"trajectory":[6,62],"prediction":[7,32,45,63,85,98],"are":[8],"able":[9],"to":[10,77,81,111],"learn":[11],"complex":[12],"maritime":[13,39],"patterns":[14],"from":[15],"historical":[16],"automatic":[17],"identification":[18],"system":[19],"(AIS)":[20],"data":[21,110],"and":[22,92,116],"accurately":[23],"predict":[24,78],"sequences":[25],"of":[26,34,90,100,130],"future":[27],"positions":[29],"with":[30],"a":[31,83],"horizon":[33],"several":[35],"hours.":[36],"However,":[37],"in":[38],"surveillance":[40],"applications,":[41],"reliably":[42],"quantifying":[43],"the":[44,97,128,131],"uncertainty":[46,86,114],"can":[47,72,118],"be":[48,73,119],"as":[49,51],"important":[50],"obtaining":[52],"high":[53],"accuracy.":[54],"This":[55],"article":[56],"extends":[57],"frameworks":[60],"tasks":[64],"by":[65,121],"exploring":[66],"how":[67,113],"recurrent":[68],"encoder\u2013decoder":[69],"neural":[70],"networks":[71],"tasked":[74],"not":[75],"only":[76],"but":[79],"also":[80],"yield":[82],"corresponding":[84],"via":[87],"Bayesian":[88],"modeling":[89],"aleatoric":[91],"epistemic":[93],"uncertainties.":[94],"We":[95],"compare":[96],"performance":[99],"two":[101],"different":[102],"models":[103],"based":[104],"on":[105,127],"labeled":[106],"or":[107],"unlabeled":[108],"input":[109],"highlight":[112],"quantification":[115],"accuracy":[117],"improved":[120],"using,":[122],"if":[123],"available,":[124],"additional":[125],"information":[126],"intention":[129],"ship":[132],"(e.g.,":[133],"its":[134],"planned":[135],"destination).":[136]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":2}],"updated_date":"2026-04-07T14:57:38.498316","created_date":"2025-10-10T00:00:00"}