{"id":"https://openalex.org/W2168107299","doi":"https://doi.org/10.1109/tsp.2014.2321731","title":"Fixed-Lag Smoothing for Bayes Optimal Knowledge Exploitation in Target Tracking","display_name":"Fixed-Lag Smoothing for Bayes Optimal Knowledge Exploitation in Target Tracking","publication_year":2014,"publication_date":"2014-05-05","ids":{"openalex":"https://openalex.org/W2168107299","doi":"https://doi.org/10.1109/tsp.2014.2321731","mag":"2168107299"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2014.2321731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2014.2321731","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","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/A5084785339","display_name":"Francesco Papi","orcid":"https://orcid.org/0000-0002-5723-7805"},"institutions":[{"id":"https://openalex.org/I4210118689","display_name":"Joint Research Centre","ror":"https://ror.org/02qezmz13","country_code":"IT","type":"government","lineage":["https://openalex.org/I1320481043","https://openalex.org/I2800387288","https://openalex.org/I4210118689","https://openalex.org/I4210161702"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Papi","raw_affiliation_strings":["Maritime Affairs Unit, European Commission, Joint Research Centre, Ispra, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Maritime Affairs Unit, European Commission, Joint Research Centre, Ispra, Italy","institution_ids":["https://openalex.org/I4210118689"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021230782","display_name":"M\u00e9lanie Bocquel","orcid":null},"institutions":[{"id":"https://openalex.org/I2800808753","display_name":"Thales (Netherlands)","ror":"https://ror.org/032tp7158","country_code":"NL","type":"company","lineage":["https://openalex.org/I2800808753","https://openalex.org/I4210140930"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"M\u00e9lanie Bocquel","raw_affiliation_strings":["Thales Nederland B.V. - Sensors, Hengelo, Nederland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thales Nederland B.V. - Sensors, Hengelo, Nederland","institution_ids":["https://openalex.org/I2800808753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040223265","display_name":"M. Podt","orcid":null},"institutions":[{"id":"https://openalex.org/I2800808753","display_name":"Thales (Netherlands)","ror":"https://ror.org/032tp7158","country_code":"NL","type":"company","lineage":["https://openalex.org/I2800808753","https://openalex.org/I4210140930"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Martin Podt","raw_affiliation_strings":["Thales Nederland B.V. - Sensors, Hengelo, Nederland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thales Nederland B.V. - Sensors, Hengelo, Nederland","institution_ids":["https://openalex.org/I2800808753"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063795360","display_name":"Y. Boers","orcid":"https://orcid.org/0000-0002-8353-5355"},"institutions":[{"id":"https://openalex.org/I2800808753","display_name":"Thales (Netherlands)","ror":"https://ror.org/032tp7158","country_code":"NL","type":"company","lineage":["https://openalex.org/I2800808753","https://openalex.org/I4210140930"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Yvo Boers","raw_affiliation_strings":["Thales Nederland B.V. - Sensors, Hengelo, Nederland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thales Nederland B.V. - Sensors, Hengelo, Nederland","institution_ids":["https://openalex.org/I2800808753"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.6521,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.9509653,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"62","issue":"12","first_page":"3143","last_page":"3152"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9854999780654907,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9599000215530396,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/smoothing","display_name":"Smoothing","score":0.7444363236427307},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6216750144958496},{"id":"https://openalex.org/keywords/recursion","display_name":"Recursion (computer science)","score":0.5557926893234253},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5527287721633911},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5473756790161133},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5332021117210388},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.44525909423828125},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.41631847620010376},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3821112811565399},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32513874769210815},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31524065136909485},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1498870551586151}],"concepts":[{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.7444363236427307},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6216750144958496},{"id":"https://openalex.org/C168773036","wikidata":"https://www.wikidata.org/wiki/Q264164","display_name":"Recursion (computer science)","level":2,"score":0.5557926893234253},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5527287721633911},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5473756790161133},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5332021117210388},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.44525909423828125},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.41631847620010376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3821112811565399},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32513874769210815},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31524065136909485},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1498870551586151},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tsp.2014.2321731","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2014.2321731","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:espace.curtin.edu.au:20.500.11937/29075","is_oa":false,"landing_page_url":"http://hdl.handle.net/20.500.11937/29075","pdf_url":null,"source":{"id":"https://openalex.org/S4306401790","display_name":"eSpace (Curtin University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205640436","host_organization_name":"Curtin University","host_organization_lineage":["https://openalex.org/I205640436"],"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":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W70609629","https://openalex.org/W1607883663","https://openalex.org/W1699761610","https://openalex.org/W1988827501","https://openalex.org/W2013002270","https://openalex.org/W2042412164","https://openalex.org/W2044987260","https://openalex.org/W2070407847","https://openalex.org/W2086699924","https://openalex.org/W2090824765","https://openalex.org/W2098613108","https://openalex.org/W2105357975","https://openalex.org/W2112323862","https://openalex.org/W2112719014","https://openalex.org/W2117854987","https://openalex.org/W2118792944","https://openalex.org/W2131643309","https://openalex.org/W2143737806","https://openalex.org/W2148749846","https://openalex.org/W2150854659","https://openalex.org/W2153416300","https://openalex.org/W2161765225","https://openalex.org/W2162733643","https://openalex.org/W2166263464","https://openalex.org/W2169278062","https://openalex.org/W2466638271","https://openalex.org/W3151198264","https://openalex.org/W3215748123","https://openalex.org/W4250389103","https://openalex.org/W6636418528","https://openalex.org/W6668151353","https://openalex.org/W6677086925","https://openalex.org/W6677731891","https://openalex.org/W6679720950"],"related_works":["https://openalex.org/W2580650124","https://openalex.org/W2135187896","https://openalex.org/W2015518264","https://openalex.org/W2562263695","https://openalex.org/W3160546271","https://openalex.org/W2147201983","https://openalex.org/W2795035211","https://openalex.org/W2168271748","https://openalex.org/W2160108762","https://openalex.org/W1718066205"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3,51],"are":[4,85],"interested":[5],"in":[6],"the":[7,30,40,44,49,63,96],"improvements":[8],"attainable":[9],"when":[10],"multiscan":[11],"processing":[12],"of":[13,43,58,95],"external":[14],"knowledge":[15],"is":[16],"performed":[17],"over":[18],"a":[19,25,35,56,66,90],"moving":[20],"time":[21],"window.":[22],"We":[23],"propose":[24],"novel":[26],"algorithm":[27,98],"that":[28,62,89],"enforces":[29],"state":[31],"constraints":[32],"by":[33],"using":[34,80],"Fixed-Lag":[36],"Smoothing":[37],"procedure":[38],"within":[39],"prediction":[41],"step":[42],"Bayesian":[45],"recursion.":[46],"For":[47],"proving":[48],"improvements,":[50],"utilize":[52],"differential":[53,71],"entropy":[54,72],"as":[55],"measure":[57],"uncertainty":[59],"and":[60],"show":[61],"approach":[64],"guarantees":[65,99],"lower":[67],"or":[68],"equal":[69],"posterior":[70],"than":[73],"classical":[74],"single-step":[75],"constrained":[76],"filtering.":[77],"Simulation":[78],"results":[79],"examples":[81],"for":[82],"single-target":[83],"tracking":[84,102],"presented":[86],"to":[87],"verify":[88],"Sequential":[91],"Monte":[92],"Carlo":[93],"implementation":[94],"proposed":[97],"an":[100],"improved":[101],"accuracy.":[103]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":7}],"updated_date":"2026-06-13T07:54:00.901334","created_date":"2016-06-24T00:00:00"}
