{"id":"https://openalex.org/W4380905902","doi":"https://doi.org/10.1109/tiv.2023.3286979","title":"A Novel Adaptive Noise Covariance Matrix Estimation and Filtering Method: Application to Multiobject Tracking","display_name":"A Novel Adaptive Noise Covariance Matrix Estimation and Filtering Method: Application to Multiobject Tracking","publication_year":2023,"publication_date":"2023-06-16","ids":{"openalex":"https://openalex.org/W4380905902","doi":"https://doi.org/10.1109/tiv.2023.3286979"},"language":"en","primary_location":{"id":"doi:10.1109/tiv.2023.3286979","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tiv.2023.3286979","pdf_url":null,"source":{"id":"https://openalex.org/S4210199657","display_name":"IEEE Transactions on Intelligent Vehicles","issn_l":"2379-8858","issn":["2379-8858","2379-8904"],"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 Intelligent Vehicles","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/A5074446195","display_name":"Chao Jiang","orcid":"https://orcid.org/0000-0002-4859-3971"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I2802624667","display_name":"Hefei Institutes of Physical Science","ror":"https://ror.org/046n57345","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667"]},{"id":"https://openalex.org/I91935597","display_name":"University of South China","ror":"https://ror.org/03mqfn238","country_code":"CN","type":"education","lineage":["https://openalex.org/I91935597"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Jiang","raw_affiliation_strings":["University of South China, Hengyang, China","Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China","University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-4859-3971","affiliations":[{"raw_affiliation_string":"University of South China, Hengyang, China","institution_ids":["https://openalex.org/I91935597"]},{"raw_affiliation_string":"Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I2802624667"]},{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040219819","display_name":"Zhiling Wang","orcid":"https://orcid.org/0000-0001-6797-4123"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I2802624667","display_name":"Hefei Institutes of Physical Science","ror":"https://ror.org/046n57345","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667"]},{"id":"https://openalex.org/I4210135175","display_name":"Hefei Institute of Technology Innovation","ror":"https://ror.org/044wmmj34","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210135175"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiling Wang","raw_affiliation_strings":["Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China","Innovation Research Institute of Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Hefei, China","Anhui Engineering Laboratory for Intelligent Driving Technology and Application, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-6797-4123","affiliations":[{"raw_affiliation_string":"Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I2802624667"]},{"raw_affiliation_string":"Innovation Research Institute of Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Hefei, China","institution_ids":["https://openalex.org/I4210135175"]},{"raw_affiliation_string":"Anhui Engineering Laboratory for Intelligent Driving Technology and Application, Hefei, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009978941","display_name":"Huawei Liang","orcid":"https://orcid.org/0000-0003-1581-304X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I2802624667","display_name":"Hefei Institutes of Physical Science","ror":"https://ror.org/046n57345","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667"]},{"id":"https://openalex.org/I4210135175","display_name":"Hefei Institute of Technology Innovation","ror":"https://ror.org/044wmmj34","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210135175"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huawei Liang","raw_affiliation_strings":["Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China","Anhui Engineering Laboratory for Intelligent Driving Technology and Application, Hefei, China","Innovation Research Institute of Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-1581-304X","affiliations":[{"raw_affiliation_string":"Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I2802624667"]},{"raw_affiliation_string":"Anhui Engineering Laboratory for Intelligent Driving Technology and Application, Hefei, China","institution_ids":[]},{"raw_affiliation_string":"Innovation Research Institute of Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Hefei, China","institution_ids":["https://openalex.org/I4210135175"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100454880","display_name":"Yajun Wang","orcid":"https://orcid.org/0000-0001-7133-8891"},"institutions":[{"id":"https://openalex.org/I91935597","display_name":"University of South China","ror":"https://ror.org/03mqfn238","country_code":"CN","type":"education","lineage":["https://openalex.org/I91935597"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yajun Wang","raw_affiliation_strings":["School of Electrical Engineering, University of South China, Hengyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, University of South China, Hengyang, China","institution_ids":["https://openalex.org/I91935597"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.354,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.88414035,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"9","issue":"1","first_page":"626","last_page":"641"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9957000017166138,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.7179843783378601},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.6559470891952515},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.642901599407196},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.583527147769928},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5478125214576721},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5243901610374451},{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.4907296895980835},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47968268394470215},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4579332172870636},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.4329444468021393},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42199116945266724},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4130743145942688},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3761367201805115},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.27260321378707886},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2567703127861023},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10404834151268005},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.062150001525878906}],"concepts":[{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.7179843783378601},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.6559470891952515},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.642901599407196},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.583527147769928},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5478125214576721},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5243901610374451},{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.4907296895980835},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47968268394470215},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4579332172870636},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4329444468021393},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42199116945266724},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4130743145942688},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3761367201805115},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27260321378707886},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2567703127861023},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10404834151268005},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.062150001525878906},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tiv.2023.3286979","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tiv.2023.3286979","pdf_url":null,"source":{"id":"https://openalex.org/S4210199657","display_name":"IEEE Transactions on Intelligent Vehicles","issn_l":"2379-8858","issn":["2379-8858","2379-8904"],"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 Intelligent Vehicles","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":41,"referenced_works":["https://openalex.org/W1559536185","https://openalex.org/W1967390957","https://openalex.org/W2074232022","https://openalex.org/W2124071321","https://openalex.org/W2148797803","https://openalex.org/W2150066425","https://openalex.org/W2156064084","https://openalex.org/W2156170806","https://openalex.org/W2399496192","https://openalex.org/W2538826137","https://openalex.org/W2578191626","https://openalex.org/W2612922558","https://openalex.org/W2739127893","https://openalex.org/W2783465527","https://openalex.org/W2946202387","https://openalex.org/W2957778574","https://openalex.org/W2969258685","https://openalex.org/W2970938561","https://openalex.org/W3095753995","https://openalex.org/W3118341329","https://openalex.org/W3124605968","https://openalex.org/W3132607695","https://openalex.org/W3165926952","https://openalex.org/W3204463990","https://openalex.org/W3206199195","https://openalex.org/W4214673677","https://openalex.org/W4214741277","https://openalex.org/W4220784186","https://openalex.org/W4226239849","https://openalex.org/W4226546914","https://openalex.org/W4229650308","https://openalex.org/W4230715394","https://openalex.org/W4232753567","https://openalex.org/W4292793982","https://openalex.org/W4293255378","https://openalex.org/W4293567233","https://openalex.org/W4297239485","https://openalex.org/W4312237470","https://openalex.org/W4312778480","https://openalex.org/W4313168910","https://openalex.org/W6622745955"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4281783339","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W3188333020","https://openalex.org/W2886934452","https://openalex.org/W1489099099","https://openalex.org/W2024369332"],"abstract_inverted_index":{"This":[0,158],"article":[1],"presents":[2],"a":[3,47,63,161],"novel":[4],"online":[5,77],"adaptive":[6],"method":[7,35,67,90,104,140,159],"for":[8,164,179],"estimating":[9],"the":[10,23,33,37,58,76,80,88,95,98,125,129,138,155,166],"process":[11],"and":[12,46,50,65,73,85,114,117,120,128,149,170,174],"measurement":[13],"noise":[14,27,38,48,81],"covariance":[15,39],"matrices":[16],"in":[17,29],"Kalman":[18],"filters":[19],"(KFs)":[20],"to":[21,56,70,107],"address":[22],"challenge":[24],"of":[25,79,87,168],"varying":[26],"characteristics":[28],"practical":[30,177],"applications.":[31,181],"Specifically,":[32],"proposed":[34,89,139],"decomposes":[36],"matrix":[40,45],"into":[41],"an":[42,52],"element":[43,59],"distribution":[44,60],"intensity":[49],"employs":[51],"improved":[53,143],"Sage":[54],"filter":[55],"estimate":[57],"matrix.":[61],"Additionally,":[62],"calibration":[64],"correction":[66],"is":[68,100,105,122],"introduced":[69],"accurately":[71],"determine":[72],"adaptively":[74],"correct":[75],"bias":[78],"intensity.":[82],"The":[83,133],"unbiasedness":[84],"convergence":[86],"are":[91],"mathematically":[92],"proven":[93],"under":[94],"condition":[96],"that":[97,137],"system":[99],"detectable.":[101],"Moreover,":[102],"this":[103],"applied":[106],"multiobject":[108],"tracking":[109],"(MOT)":[110],"based":[111,146],"on":[112,124,147,154],"KFs":[113,148,169],"light":[115],"detection":[116],"ranging":[118],"(LiDAR),":[119],"it":[121,175],"evaluated":[123],"KITTI":[126,131,156],"dataset":[127],"official":[130],"server.":[132],"experimental":[134],"results":[135],"demonstrate":[136],"achieves":[141],"significantly":[142],"MOT":[144],"performance":[145,167],"outperforms":[150],"other":[151],"LiDAR-based":[152],"methods":[153],"leaderboard.":[157],"provides":[160],"new":[162],"approach":[163],"enhancing":[165],"assisting":[171],"with":[172],"MOT,":[173],"has":[176],"feasibility":[178],"real-world":[180]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-25T09:21:30.201066","created_date":"2025-10-10T00:00:00"}