{"id":"https://openalex.org/W3129360352","doi":"https://doi.org/10.1109/lsp.2021.3060316","title":"Variational Measurement Update for Extended Object Tracking Using Gaussian Processes","display_name":"Variational Measurement Update for Extended Object Tracking Using Gaussian Processes","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3129360352","doi":"https://doi.org/10.1109/lsp.2021.3060316","mag":"3129360352"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2021.3060316","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2021.3060316","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5026188504","display_name":"Murat Kumru","orcid":"https://orcid.org/0000-0003-2907-4559"},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Murat Kumru","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Middle East Technical University, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Middle East Technical University, Ankara, Turkey","institution_ids":["https://openalex.org/I201799495"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037323017","display_name":"Hilal Koksal","orcid":"https://orcid.org/0000-0001-7941-0528"},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Hilal K\u00f6ksal","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Middle East Technical University, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Middle East Technical University, Ankara, Turkey","institution_ids":["https://openalex.org/I201799495"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076360059","display_name":"Emre \u00d6zkan","orcid":"https://orcid.org/0000-0002-0380-2928"},"institutions":[{"id":"https://openalex.org/I201799495","display_name":"Middle East Technical University","ror":"https://ror.org/014weej12","country_code":"TR","type":"education","lineage":["https://openalex.org/I201799495"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Emre \u00d6zkan","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Middle East Technical University, Ankara, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Middle East Technical University, Ankara, Turkey","institution_ids":["https://openalex.org/I201799495"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026188504"],"corresponding_institution_ids":["https://openalex.org/I201799495"],"apc_list":null,"apc_paid":null,"fwci":2.8555,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.92046047,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"28","issue":null,"first_page":"538","last_page":"542"},"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":0.9990000128746033,"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":0.9990000128746033,"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":0.9987999796867371,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9660999774932861,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/kinematics","display_name":"Kinematics","score":0.7435040473937988},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6814274787902832},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.6466929316520691},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.601116418838501},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.5476214289665222},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5423989295959473},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.533207356929779},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5208147764205933},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5197615027427673},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49003446102142334},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4633420407772064},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.460832417011261},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3474501967430115}],"concepts":[{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.7435040473937988},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6814274787902832},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.6466929316520691},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.601116418838501},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.5476214289665222},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5423989295959473},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.533207356929779},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5208147764205933},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5197615027427673},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49003446102142334},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4633420407772064},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.460832417011261},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3474501967430115},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","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},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lsp.2021.3060316","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2021.3060316","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"},{"id":"pmh:oai:https://open.metu.edu.tr:11511/89504","is_oa":false,"landing_page_url":"https://hdl.handle.net/11511/89504","pdf_url":null,"source":{"id":"https://openalex.org/S4306402495","display_name":"OpenMETU (Middle East Technical University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201799495","host_organization_name":"Middle East Technical University","host_organization_lineage":["https://openalex.org/I201799495"],"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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1563029181","https://openalex.org/W1601795611","https://openalex.org/W1663973292","https://openalex.org/W1746819321","https://openalex.org/W1966447678","https://openalex.org/W2000460081","https://openalex.org/W2007097714","https://openalex.org/W2054091988","https://openalex.org/W2058568645","https://openalex.org/W2078413699","https://openalex.org/W2078812312","https://openalex.org/W2111308925","https://openalex.org/W2117215586","https://openalex.org/W2123487311","https://openalex.org/W2125186487","https://openalex.org/W2144598923","https://openalex.org/W2150066425","https://openalex.org/W2151103935","https://openalex.org/W2225156818","https://openalex.org/W2238582461","https://openalex.org/W2341459421","https://openalex.org/W2511369105","https://openalex.org/W2511472858","https://openalex.org/W2587978179","https://openalex.org/W2760782544","https://openalex.org/W2773571959","https://openalex.org/W2890675736","https://openalex.org/W2891822104","https://openalex.org/W2892055118","https://openalex.org/W2892271808","https://openalex.org/W2895206136","https://openalex.org/W2910812779","https://openalex.org/W2912789803","https://openalex.org/W2964064111","https://openalex.org/W2969586367","https://openalex.org/W3008330613","https://openalex.org/W3010915325","https://openalex.org/W3101380508","https://openalex.org/W3149903116","https://openalex.org/W4211049957","https://openalex.org/W6633593558","https://openalex.org/W6725940492","https://openalex.org/W6774582085"],"related_works":["https://openalex.org/W2789522126","https://openalex.org/W2066693961","https://openalex.org/W2368363778","https://openalex.org/W122584421","https://openalex.org/W4244295168","https://openalex.org/W2753351751","https://openalex.org/W3185180338","https://openalex.org/W2889348933","https://openalex.org/W2351643838","https://openalex.org/W4214574858"],"abstract_inverted_index":{"We":[0,57],"present":[1],"an":[2,18,77],"alternative":[3],"inference":[4],"framework":[5],"for":[6,81],"the":[7,22,51,54,68,88,92,95],"Gaussian":[8],"process-based":[9],"extended":[10,78],"object":[11],"tracking":[12],"(GPEOT)":[13],"models.":[14],"The":[15,42,83],"method":[16],"provides":[17],"approximate":[19,47],"solution":[20],"to":[21],"Bayesian":[23],"filtering":[24],"problem":[25],"in":[26],"GPEOT":[27],"by":[28],"relying":[29],"on":[30,61],"a":[31,72],"new":[32],"measurement":[33],"update,":[34],"which":[35,75],"we":[36],"derive":[37],"using":[38],"variational":[39],"Bayes":[40],"techniques.":[41],"resulting":[43],"algorithm":[44,85],"effectively":[45],"computes":[46],"posterior":[48],"densities":[49],"of":[50,90],"kinematic":[52,93],"and":[53,63,66,94,98],"extent":[55,96],"states.":[56],"conduct":[58],"various":[59],"experiments":[60],"simulated":[62],"real":[64],"data":[65],"examine":[67],"performance":[69],"compared":[70],"with":[71],"reference":[73],"method,":[74],"employs":[76],"Kalman":[79],"filter":[80],"inference.":[82],"proposed":[84],"significantly":[86],"improves":[87],"accuracy":[89],"both":[91],"estimates":[97],"proves":[99],"robust":[100],"against":[101],"model":[102],"uncertainties.":[103]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}