{"id":"https://openalex.org/W2053859658","doi":"https://doi.org/10.1109/roman.2007.4415072","title":"A Run-time Estimate Method of Measurement Error Variance for Kalman Estimator","display_name":"A Run-time Estimate Method of Measurement Error Variance for Kalman Estimator","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2053859658","doi":"https://doi.org/10.1109/roman.2007.4415072","mag":"2053859658"},"language":"en","primary_location":{"id":"doi:10.1109/roman.2007.4415072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/roman.2007.4415072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RO-MAN 2007 - The 16th IEEE International Symposium on Robot and Human Interactive Communication","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/A5058405698","display_name":"Jae-gu Kang","orcid":"https://orcid.org/0000-0002-4408-7481"},"institutions":[{"id":"https://openalex.org/I88761825","display_name":"Korea University of Science and Technology","ror":"https://ror.org/000qzf213","country_code":"KR","type":"education","lineage":["https://openalex.org/I88761825"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae-gu Kang","raw_affiliation_strings":["Korea University of Science and Technology, Daejeon, South Korea","Korea Univ. of Sci. & Technol., Daejeon"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea University of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I88761825"]},{"raw_affiliation_string":"Korea Univ. of Sci. & Technol., Daejeon","institution_ids":["https://openalex.org/I88761825"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102148147","display_name":"Bum-Jae You","orcid":null},"institutions":[{"id":"https://openalex.org/I58716616","display_name":"Korea Institute of Science and Technology","ror":"https://ror.org/05kzfa883","country_code":"KR","type":"facility","lineage":["https://openalex.org/I27494661","https://openalex.org/I2801339556","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I4387152098","https://openalex.org/I58716616"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Bum-jae You","raw_affiliation_strings":["Korea Institute of Science and Technology, Seoul, South Korea","Korea Institute of Science and Technology (KIST), Seoul, Korea, ybj@kist.re.kr"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea Institute of Science and Technology, Seoul, South Korea","institution_ids":["https://openalex.org/I58716616"]},{"raw_affiliation_string":"Korea Institute of Science and Technology (KIST), Seoul, Korea, ybj@kist.re.kr","institution_ids":["https://openalex.org/I58716616"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59533672,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"140","issue":null,"first_page":"157","last_page":"162"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11325","display_name":"Inertial Sensor and Navigation","score":0.9732999801635742,"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"}},"topics":[{"id":"https://openalex.org/T11325","display_name":"Inertial Sensor and Navigation","score":0.9732999801635742,"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"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9714000225067139,"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"}},{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9700999855995178,"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/estimator","display_name":"Estimator","score":0.8222025632858276},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.780381977558136},{"id":"https://openalex.org/keywords/observational-error","display_name":"Observational error","score":0.7690761685371399},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.7249898910522461},{"id":"https://openalex.org/keywords/minimum-variance-unbiased-estimator","display_name":"Minimum-variance unbiased estimator","score":0.5494928359985352},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5086653828620911},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4529215395450592},{"id":"https://openalex.org/keywords/bias-of-an-estimator","display_name":"Bias of an estimator","score":0.41577839851379395},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.371665894985199},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3263248801231384},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.22172322869300842},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.05492177605628967}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.8222025632858276},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.780381977558136},{"id":"https://openalex.org/C19619285","wikidata":"https://www.wikidata.org/wiki/Q196372","display_name":"Observational error","level":2,"score":0.7690761685371399},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.7249898910522461},{"id":"https://openalex.org/C165646398","wikidata":"https://www.wikidata.org/wiki/Q3755281","display_name":"Minimum-variance unbiased estimator","level":3,"score":0.5494928359985352},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5086653828620911},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4529215395450592},{"id":"https://openalex.org/C191393472","wikidata":"https://www.wikidata.org/wiki/Q15222032","display_name":"Bias of an estimator","level":4,"score":0.41577839851379395},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.371665894985199},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3263248801231384},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.22172322869300842},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.05492177605628967},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/roman.2007.4415072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/roman.2007.4415072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RO-MAN 2007 - The 16th IEEE International Symposium on Robot and Human Interactive Communication","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W570785039","https://openalex.org/W1561292745","https://openalex.org/W1741603703","https://openalex.org/W1923252420","https://openalex.org/W1955116508","https://openalex.org/W1980837811","https://openalex.org/W1989421500","https://openalex.org/W2106297762","https://openalex.org/W2141473805","https://openalex.org/W2145938889","https://openalex.org/W2165471849","https://openalex.org/W2168291804","https://openalex.org/W2171411455","https://openalex.org/W2491009754","https://openalex.org/W2528175431","https://openalex.org/W2542496137","https://openalex.org/W4328052011","https://openalex.org/W6640764252","https://openalex.org/W6645514351","https://openalex.org/W6681158678","https://openalex.org/W6850916629"],"related_works":["https://openalex.org/W2349547417","https://openalex.org/W4237435333","https://openalex.org/W4210503132","https://openalex.org/W2999390738","https://openalex.org/W2352602506","https://openalex.org/W3092888124","https://openalex.org/W2093865141","https://openalex.org/W4239491110","https://openalex.org/W2368191880","https://openalex.org/W2910434125"],"abstract_inverted_index":{"In":[0,19],"this":[1],"paper,":[2],"an":[3],"estimate":[4,93],"method":[5,91],"of":[6,36,69,75,78,80,97,109,126],"control":[7,21,44],"system":[8,45,70,81,99],"measurement":[9,23,46,59,71,94],"error":[10,24,47,60,72,95],"variance":[11,25,48,61,73,96],"for":[12,100],"Kalman":[13,37,101],"estimator":[14,102],"at":[15,103],"run-time":[16,104],"is":[17,26,49],"proposed.":[18],"general,":[20],"system's":[22],"measured":[27],"by":[28],"some":[29],"measuring":[30,42],"instruments":[31],"or":[32,83],"tuned":[33],"after":[34],"implementation":[35],"estimator,":[38],"but":[39],"the":[40,43,58,76,98,107,110,124,127],"precise":[41],"too":[50],"hard.":[51],"Moreover,":[52],"even":[53],"though":[54],"we":[55,88],"could":[56,64],"tune":[57],"value,":[62],"it":[63],"not":[65],"deal":[66],"with":[67],"changes":[68],"because":[74],"phenomena":[77],"aging":[79],"sensors":[82],"unpredictable":[84],"external":[85],"disturbances.":[86],"So":[87],"introduce":[89],"a":[90,113],"to":[92,105,122],"improve":[106],"performance":[108],"estimator.":[111],"Also":[112],"simple":[114],"simulation":[115],"and":[116],"experimental":[117],"result":[118],"will":[119],"be":[120],"presented":[121],"show":[123],"effect":[125],"proposed":[128],"method.":[129]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
