{"id":"https://openalex.org/W4400071267","doi":"https://doi.org/10.1109/taes.2024.3419785","title":"Markov Chain Monte Carlo Multiscan Data Association for Sets of Trajectories","display_name":"Markov Chain Monte Carlo Multiscan Data Association for Sets of Trajectories","publication_year":2024,"publication_date":"2024-06-27","ids":{"openalex":"https://openalex.org/W4400071267","doi":"https://doi.org/10.1109/taes.2024.3419785"},"language":"en","primary_location":{"id":"doi:10.1109/taes.2024.3419785","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2024.3419785","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025858225","display_name":"Yuxuan Xia","orcid":"https://orcid.org/0000-0002-2788-7911"},"institutions":[{"id":"https://openalex.org/I4210086940","display_name":"Zenuity (Sweden)","ror":"https://ror.org/000dpyn16","country_code":"SE","type":"company","lineage":["https://openalex.org/I4210086940"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Yuxuan Xia","raw_affiliation_strings":["Zenseact AB, Gothenburg, Sweden"],"raw_orcid":"https://orcid.org/0000-0002-2788-7911","affiliations":[{"raw_affiliation_string":"Zenseact AB, Gothenburg, Sweden","institution_ids":["https://openalex.org/I4210086940"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049418113","display_name":"\u00c1ngel F. Garc\u00eda\u2010Fern\u00e1ndez","orcid":"https://orcid.org/0000-0002-6471-8455"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"\u00c1ngel F. Garc\u00eda-Fern\u00e1ndez","raw_affiliation_strings":["Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, U.K"],"raw_orcid":"https://orcid.org/0000-0002-6471-8455","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool, U.K","institution_ids":["https://openalex.org/I146655781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029413988","display_name":"Lennart Svensson","orcid":"https://orcid.org/0000-0003-0206-9186"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Lennart Svensson","raw_affiliation_strings":["Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden"],"raw_orcid":"https://orcid.org/0000-0003-0206-9186","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2228,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.89194712,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"60","issue":"6","first_page":"7804","last_page":"7819"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9944000244140625,"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"}},"topics":[{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9944000244140625,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9865000247955322,"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"}},{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9821000099182129,"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/monte-carlo-method","display_name":"Monte Carlo method","score":0.7021518349647522},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.6773275136947632},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5537630915641785},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5235607028007507},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.4862464666366577},{"id":"https://openalex.org/keywords/data-association","display_name":"Data association","score":0.42631763219833374},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3283632695674896},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24732127785682678},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21757104992866516},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21292003989219666},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.20378798246383667},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1223219633102417},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.11986303329467773}],"concepts":[{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.7021518349647522},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.6773275136947632},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5537630915641785},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5235607028007507},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.4862464666366577},{"id":"https://openalex.org/C2983325608","wikidata":"https://www.wikidata.org/wiki/Q17084606","display_name":"Data association","level":3,"score":0.42631763219833374},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3283632695674896},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24732127785682678},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21757104992866516},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21292003989219666},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.20378798246383667},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1223219633102417},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.11986303329467773}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/taes.2024.3419785","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taes.2024.3419785","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:research.chalmers.se:541797","is_oa":false,"landing_page_url":"https://research.chalmers.se/en/publication/541797","pdf_url":null,"source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322327","display_name":"Knut och Alice Wallenbergs Stiftelse","ror":"https://ror.org/004hzzk67"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W34992941","https://openalex.org/W576301840","https://openalex.org/W1184059260","https://openalex.org/W1611533551","https://openalex.org/W2000814501","https://openalex.org/W2025119805","https://openalex.org/W2041517243","https://openalex.org/W2071668645","https://openalex.org/W2110012495","https://openalex.org/W2111818318","https://openalex.org/W2115672710","https://openalex.org/W2127021804","https://openalex.org/W2137688837","https://openalex.org/W2148061324","https://openalex.org/W2347012009","https://openalex.org/W2398554122","https://openalex.org/W2462668328","https://openalex.org/W2490662969","https://openalex.org/W2595600061","https://openalex.org/W2773666931","https://openalex.org/W2786070790","https://openalex.org/W2891936714","https://openalex.org/W2901974889","https://openalex.org/W2948034885","https://openalex.org/W2963855969","https://openalex.org/W2964318445","https://openalex.org/W2979323932","https://openalex.org/W2993189113","https://openalex.org/W3010674971","https://openalex.org/W3013404017","https://openalex.org/W3031418291","https://openalex.org/W3099552904","https://openalex.org/W3101735304","https://openalex.org/W3102355812","https://openalex.org/W3108240427","https://openalex.org/W3167755085","https://openalex.org/W3193626985","https://openalex.org/W3212310541","https://openalex.org/W4285066352","https://openalex.org/W4285166489","https://openalex.org/W4312082592","https://openalex.org/W4321021040","https://openalex.org/W4386307058","https://openalex.org/W4386869696","https://openalex.org/W6771568336"],"related_works":["https://openalex.org/W2151689585","https://openalex.org/W2380816257","https://openalex.org/W3087071515","https://openalex.org/W4283726152","https://openalex.org/W1525770572","https://openalex.org/W1485888979","https://openalex.org/W3172507773","https://openalex.org/W2806680938","https://openalex.org/W4302285290","https://openalex.org/W2005266888"],"abstract_inverted_index":{"This":[0],"article":[1],"considers":[2],"a":[3,57],"batch":[4,31],"solution":[5],"to":[6,48],"the":[7,23,42,52,64,77,84,91,106,110],"multiobject":[8,99],"tracking":[9,100],"problem":[10,62],"based":[11,33],"on":[12,34],"sets":[13],"of":[14,22,41,68,88],"trajectories.":[15],"Specifically,":[16],"we":[17],"present":[18],"two":[19],"offline":[20,54],"implementations":[21,55,93],"trajectory":[24,116],"Poisson":[25],"multi-Bernoulli":[26],"mixture":[27],"(TPMBM)":[28],"filter":[29],"for":[30],"data":[32,43,60],"Markov":[35],"chain":[36],"Monte":[37],"Carlo":[38],"(MCMC)":[39],"sampling":[40],"association":[44,61],"hypotheses.":[45],"In":[46],"contrast":[47],"online":[49],"TPMBM":[50,89,107],"implementations,":[51],"proposed":[53,92],"solve":[56],"large-scale,":[58],"multiscan":[59],"across":[63],"entire":[65],"time":[66],"interval":[67],"interest,":[69],"and":[70],"therefore,":[71],"they":[72],"can":[73],"fully":[74],"exploit":[75],"all":[76],"measurement":[78],"information":[79],"available.":[80],"Furthermore,":[81],"by":[82],"leveraging":[83],"efficient":[85],"hypothesis":[86],"structure":[87],"filters,":[90],"compare":[94],"favorably":[95],"with":[96],"other":[97],"MCMC-based":[98],"algorithms.":[101],"Simulation":[102],"results":[103],"show":[104],"that":[105],"implementation":[108],"using":[109],"Metropolis-Hastings":[111],"algorithm":[112],"presents":[113],"state-of-the-art":[114],"multiple":[115],"estimation":[117],"performance.":[118]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}