{"id":"https://openalex.org/W2939984110","doi":"https://doi.org/10.1109/icassp.2019.8683444","title":"Data Driven Vessel Trajectory Forecasting Using Stochastic Generative Models","display_name":"Data Driven Vessel Trajectory Forecasting Using Stochastic Generative Models","publication_year":2019,"publication_date":"2019-04-17","ids":{"openalex":"https://openalex.org/W2939984110","doi":"https://doi.org/10.1109/icassp.2019.8683444","mag":"2939984110"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2019.8683444","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8683444","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090912186","display_name":"Murat \u00dcney","orcid":"https://orcid.org/0000-0001-6561-0406"},"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":"Murat Uney","raw_affiliation_strings":["NATO STO Centre for Maritime Research and Experimentation, La Spezia, SP, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NATO STO Centre for Maritime Research and Experimentation, La Spezia, SP, 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 M. Millefiori","raw_affiliation_strings":["NATO STO Centre for Maritime Research and Experimentation, La Spezia, SP, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NATO STO Centre for Maritime Research and Experimentation, La Spezia, SP, Italy","institution_ids":["https://openalex.org/I4210162703"]}]},{"author_position":"last","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, La Spezia, SP, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NATO STO Centre for Maritime Research and Experimentation, La Spezia, SP, Italy","institution_ids":["https://openalex.org/I4210162703"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210162703"],"apc_list":null,"apc_paid":null,"fwci":4.2869,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.93816158,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"8459","last_page":"8463"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11622","display_name":"Maritime Navigation and Safety","score":0.9994999766349792,"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":0.9994999766349792,"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/T10230","display_name":"Marine and fisheries research","score":0.9768000245094299,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12316","display_name":"Oil Spill Detection and Mitigation","score":0.9667999744415283,"subfield":{"id":"https://openalex.org/subfields/2310","display_name":"Pollution"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.8473706245422363},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6576730608940125},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5828170776367188},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.5222845077514648},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.48321330547332764},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.44822320342063904},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4473094046115875},{"id":"https://openalex.org/keywords/stochastic-modelling","display_name":"Stochastic modelling","score":0.44614073634147644},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43304863572120667},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.42843377590179443},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.422454833984375},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4036017656326294},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3879181146621704},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3745518624782562},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3610091805458069},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3297925591468811},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.27394792437553406},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22257736325263977},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.16507458686828613},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10583227872848511}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.8473706245422363},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6576730608940125},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5828170776367188},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.5222845077514648},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.48321330547332764},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44822320342063904},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4473094046115875},{"id":"https://openalex.org/C127491075","wikidata":"https://www.wikidata.org/wiki/Q7617825","display_name":"Stochastic modelling","level":2,"score":0.44614073634147644},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43304863572120667},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.42843377590179443},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.422454833984375},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4036017656326294},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3879181146621704},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3745518624782562},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3610091805458069},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3297925591468811},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.27394792437553406},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22257736325263977},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.16507458686828613},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10583227872848511},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2019.8683444","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8683444","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arpi.unipi.it:11568/1144017","is_oa":false,"landing_page_url":"http://hdl.handle.net/11568/1144017","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","id":"https://metadata.un.org/sdg/14","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1503398984","https://openalex.org/W1827716646","https://openalex.org/W2083442964","https://openalex.org/W2126194848","https://openalex.org/W2129905273","https://openalex.org/W2130494750","https://openalex.org/W2142125366","https://openalex.org/W2219299986","https://openalex.org/W2572270144","https://openalex.org/W2625848625","https://openalex.org/W2782599848","https://openalex.org/W2790115023","https://openalex.org/W2886960696","https://openalex.org/W2890535838","https://openalex.org/W2954082053","https://openalex.org/W2962994101","https://openalex.org/W3101129902","https://openalex.org/W4233014035","https://openalex.org/W4292691288","https://openalex.org/W6679329542","https://openalex.org/W6681310799"],"related_works":["https://openalex.org/W1995427843","https://openalex.org/W2042280983","https://openalex.org/W2321888438","https://openalex.org/W2888652631","https://openalex.org/W1925992392","https://openalex.org/W2369445029","https://openalex.org/W2026456043","https://openalex.org/W4320063126","https://openalex.org/W2417662900","https://openalex.org/W1987284827"],"abstract_inverted_index":{"In":[0],"this":[1,112],"work,":[2],"we":[3],"propose":[4],"a":[5,26,68,115],"data":[6,89,117],"driven":[7,98],"trajectory":[8,18,39],"forecasting":[9],"algorithm":[10,21],"that":[11,102],"utilizes":[12],"both":[13],"recorded":[14,49],"historical":[15],"and":[16,63,73,84],"streaming":[17],"observations.":[19,75],"The":[20],"performs":[22],"Bayesian":[23],"inference":[24],"on":[25,31,114],"directed":[27],"graph":[28],"the":[29,57,81,92,109],"walks":[30],"which":[32],"represent":[33],"stochastic":[34,99],"change":[35],"point":[36],"models":[37,45],"of":[38,43,71,94,111],"classes.":[40],"Parameter":[41],"distributions":[42,66],"these":[44],"are":[46],"learnt":[47],"from":[48],"trajectories.":[50],"Forecasting":[51],"is":[52,78],"then":[53],"made":[54],"by":[55],"calculating":[56],"class":[58],"-":[59],"or,":[60],"walk-":[61],"probabilities":[62],"corresponding":[64],"predictive":[65],"for":[67,80],"given":[69],"stream":[70],"location":[72],"velocity":[74],"This":[76],"approach":[77,113],"tailored":[79],"maritime":[82],"domain":[83],"automatic":[85],"identification":[86],"system":[87],"(AIS)":[88],"exploitation":[90],"through":[91],"use":[93],"an":[95],"Ornstein-Uhlenbeck":[96],"process":[97,100],"model":[101],"captures":[103],"vessel":[104],"motion":[105],"characteristics.":[106],"We":[107],"demonstrate":[108],"efficacy":[110],"real":[116],"set.":[118]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}