{"id":"https://openalex.org/W4413018309","doi":"https://doi.org/10.1109/iv64158.2025.11097410","title":"Bayesian Optimization-based Tire Parameter and Uncertainty Estimation for Real-World Data","display_name":"Bayesian Optimization-based Tire Parameter and Uncertainty Estimation for Real-World Data","publication_year":2025,"publication_date":"2025-06-22","ids":{"openalex":"https://openalex.org/W4413018309","doi":"https://doi.org/10.1109/iv64158.2025.11097410"},"language":"en","primary_location":{"id":"doi:10.1109/iv64158.2025.11097410","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv64158.2025.11097410","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Intelligent Vehicles Symposium (IV)","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/A5107454266","display_name":"Sven Goblirsch","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sven Goblirsch","raw_affiliation_strings":["TUM School of Engineering and Design, Technical University of Munich,Department of Mobility Systems Engineering,Garching,Germany,85748"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TUM School of Engineering and Design, Technical University of Munich,Department of Mobility Systems Engineering,Garching,Germany,85748","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119232351","display_name":"Benedikt Ruhland","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Benedikt Ruhland","raw_affiliation_strings":["TUM School of Engineering and Design, Technical University of Munich,Department of Mobility Systems Engineering,Garching,Germany,85748"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TUM School of Engineering and Design, Technical University of Munich,Department of Mobility Systems Engineering,Garching,Germany,85748","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063677428","display_name":"Johannes Betz","orcid":"https://orcid.org/0000-0001-9197-2849"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Johannes Betz","raw_affiliation_strings":["TUM School of Engineering and Design, Technical University of Munich,Professorship of Autonomous Vehicle Systems,Garching,Germany,85748"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TUM School of Engineering and Design, Technical University of Munich,Professorship of Autonomous Vehicle Systems,Garching,Germany,85748","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079718896","display_name":"Markus Lienkamp","orcid":"https://orcid.org/0000-0002-9263-5323"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Markus Lienkamp","raw_affiliation_strings":["TUM School of Engineering and Design, Technical University of Munich,Department of Mobility Systems Engineering,Garching,Germany,85748"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TUM School of Engineering and Design, Technical University of Munich,Department of Mobility Systems Engineering,Garching,Germany,85748","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9938,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.86751059,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1114","last_page":"1120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10805","display_name":"Vehicle Dynamics and Control Systems","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10805","display_name":"Vehicle Dynamics and Control Systems","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/bayesian-optimization","display_name":"Bayesian optimization","score":0.6261255145072937},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6045352816581726},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5488971471786499},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.45969003438949585},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.4314122498035431},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.415760338306427},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3649895191192627},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.33938342332839966},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.32636791467666626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29032766819000244},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19343438744544983},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.175613135099411},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1710290014743805}],"concepts":[{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.6261255145072937},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6045352816581726},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5488971471786499},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.45969003438949585},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4314122498035431},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.415760338306427},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3649895191192627},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33938342332839966},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.32636791467666626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29032766819000244},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19343438744544983},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.175613135099411},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1710290014743805},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iv64158.2025.11097410","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv64158.2025.11097410","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},{"id":"pmh:oai:mediatum.ub.tum.de:node/1839844","is_oa":false,"landing_page_url":"https://mediatum.ub.tum.de/1839844","pdf_url":null,"source":{"id":"https://openalex.org/S4377196330","display_name":"mediaTUM  (Technical University of Munich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I62916508","host_organization_name":"Technical University of Munich","host_organization_lineage":["https://openalex.org/I62916508"],"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":"ConferencePaper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1964565648","https://openalex.org/W1971910275","https://openalex.org/W1974358072","https://openalex.org/W2004922694","https://openalex.org/W2009708846","https://openalex.org/W2101589741","https://openalex.org/W2168623919","https://openalex.org/W2187313725","https://openalex.org/W2225156818","https://openalex.org/W2548659524","https://openalex.org/W2759309029","https://openalex.org/W2762164945","https://openalex.org/W2794309357","https://openalex.org/W2897613819","https://openalex.org/W2900503498","https://openalex.org/W2948791037","https://openalex.org/W3117772524","https://openalex.org/W4206713226","https://openalex.org/W4285071846","https://openalex.org/W4294562888","https://openalex.org/W4315797158","https://openalex.org/W4361000527","https://openalex.org/W4390357653","https://openalex.org/W4392408449","https://openalex.org/W4394812058","https://openalex.org/W4399714956","https://openalex.org/W4402647297","https://openalex.org/W4405787116","https://openalex.org/W4406171728","https://openalex.org/W6684578138","https://openalex.org/W6755447188","https://openalex.org/W6761530850"],"related_works":["https://openalex.org/W3106461837","https://openalex.org/W4283700523","https://openalex.org/W3168182983","https://openalex.org/W4387079005","https://openalex.org/W4321472004","https://openalex.org/W4221166418","https://openalex.org/W2968265130","https://openalex.org/W2973085194","https://openalex.org/W3117893869","https://openalex.org/W4401858220"],"abstract_inverted_index":{"This":[0],"work":[1],"presents":[2],"a":[3,13,55,72,108,112],"methodology":[4,56],"to":[5,57,71,91,107,148,181],"estimate":[6,58],"tire":[7,24,116,190,201],"parameters":[8,25,62,146,165,192],"and":[9,35,63,78,136,144,161,186,196],"their":[10,64],"uncertainty":[11],"using":[12],"Bayesian":[14],"optimization":[15],"approach.":[16],"The":[17,81,103,151],"literature":[18],"mainly":[19],"considers":[20,84],"the":[21,31,36,48,61,68,93,120,123,130,138,142,157,183,187,200],"estimation":[22],"of":[23,30,50,100,122,189],"but":[26],"lacks":[27],"an":[28,41,97],"evaluation":[29],"parameter":[32,85],"identification":[33],"quality":[34],"required":[37,94],"slip":[38,89,168],"ratios":[39,90,169],"for":[40,76,96,111,199],"adequate":[42,98],"model":[43,191],"fit.":[44],"Therefore,":[45],"we":[46],"examine":[47],"use":[49],"Stochastical":[51],"Variational":[52],"Inference":[53],"as":[54],"both":[59],"-":[60],"uncertainties.":[65],"We":[66,118,172],"evaluate":[67,92],"method":[69,177],"compared":[70,106],"state-of-the-art":[73],"Neider-Mead":[74],"algorithm":[75,124],"theoretical":[77,82],"real-world":[79,126,194],"application.":[80],"study":[83],"fitting":[86,99],"at":[87],"different":[88],"excitation":[95],"each":[101],"parameter.":[102],"results":[104],"are":[105,170],"sensitivity":[109],"analysis":[110],"Pacejka":[113],"Magic":[114],"Formula":[115],"model.":[117],"show":[119,173],"application":[121],"on":[125,204],"data":[127],"acquired":[128,158],"during":[129],"Abu":[131],"Dhabi":[132],"Autonomous":[133],"Racing":[134],"League":[135],"highlight":[137],"uncertainties":[139,188],"in":[140,193],"identifying":[141],"curvature":[143],"shape":[145],"due":[147],"insufficient":[149],"excitation.":[150],"gathered":[152],"insights":[153],"can":[154,178],"help":[155],"assess":[156,182],"data's":[159],"limitations":[160],"instead":[162],"utilize":[163],"standardized":[164],"until":[166],"higher":[167],"captured.":[171],"that":[174],"our":[175,205],"proposed":[176],"be":[179],"used":[180],"mean":[184],"values":[185],"conditions":[195],"derive":[197],"actions":[198],"modeling":[202],"based":[203],"simulative":[206],"study.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}