{"id":"https://openalex.org/W4283780049","doi":"https://doi.org/10.1109/iv51971.2022.9826998","title":"A Two-Stage Bayesian optimisation for Automatic Tuning of an Unscented Kalman Filter for Vehicle Sideslip Angle Estimation","display_name":"A Two-Stage Bayesian optimisation for Automatic Tuning of an Unscented Kalman Filter for Vehicle Sideslip Angle Estimation","publication_year":2022,"publication_date":"2022-06-05","ids":{"openalex":"https://openalex.org/W4283780049","doi":"https://doi.org/10.1109/iv51971.2022.9826998"},"language":"en","primary_location":{"id":"doi:10.1109/iv51971.2022.9826998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv51971.2022.9826998","pdf_url":null,"source":{"id":"https://openalex.org/S4363605370","display_name":"2022 IEEE Intelligent Vehicles Symposium (IV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2206.15115","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001424518","display_name":"Alberto Bertipaglia","orcid":"https://orcid.org/0000-0003-0364-8833"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Alberto Bertipaglia","raw_affiliation_strings":["Delft University of Technology,Department of Cognitive Robotics,Delft,CD,The Netherlands,2628"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delft University of Technology,Department of Cognitive Robotics,Delft,CD,The Netherlands,2628","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087543232","display_name":"Barys Shyrokau","orcid":"https://orcid.org/0000-0003-4530-8853"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Barys Shyrokau","raw_affiliation_strings":["Delft University of Technology,Department of Cognitive Robotics,Delft,CD,The Netherlands,2628"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delft University of Technology,Department of Cognitive Robotics,Delft,CD,The Netherlands,2628","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070235275","display_name":"Mohsen Alirezaei","orcid":"https://orcid.org/0000-0002-2858-6408"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Mohsen Alirezaei","raw_affiliation_strings":["University of Eindhoven,Department of Mechanical Engineering,Eindhoven,AZ,The Netherlands,5612"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Eindhoven,Department of Mechanical Engineering,Eindhoven,AZ,The Netherlands,5612","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002136525","display_name":"Riender Happee","orcid":"https://orcid.org/0000-0001-5878-3472"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Riender Happee","raw_affiliation_strings":["Delft University of Technology,Department of Cognitive Robotics,Delft,CD,The Netherlands,2628"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Delft University of Technology,Department of Cognitive Robotics,Delft,CD,The Netherlands,2628","institution_ids":["https://openalex.org/I98358874"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"670","last_page":"677"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12759","display_name":"Vehicle Noise and Vibration Control","score":0.9954000115394592,"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/T12759","display_name":"Vehicle Noise and Vibration Control","score":0.9954000115394592,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9930999875068665,"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/T10805","display_name":"Vehicle Dynamics and Control Systems","score":0.9921000003814697,"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/kalman-filter","display_name":"Kalman filter","score":0.8267228603363037},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5631161332130432},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5549203753471375},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5383061170578003},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5063897371292114},{"id":"https://openalex.org/keywords/unscented-transform","display_name":"Unscented transform","score":0.4993124008178711},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.48797672986984253},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44591429829597473},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.40843069553375244},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.33180171251296997},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2765861451625824},{"id":"https://openalex.org/keywords/ensemble-kalman-filter","display_name":"Ensemble Kalman filter","score":0.18816089630126953},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.0905090868473053}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.8267228603363037},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5631161332130432},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5549203753471375},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5383061170578003},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5063897371292114},{"id":"https://openalex.org/C139399703","wikidata":"https://www.wikidata.org/wiki/Q7897426","display_name":"Unscented transform","level":5,"score":0.4993124008178711},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.48797672986984253},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44591429829597473},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.40843069553375244},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.33180171251296997},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2765861451625824},{"id":"https://openalex.org/C79334102","wikidata":"https://www.wikidata.org/wiki/Q3072268","display_name":"Ensemble Kalman filter","level":4,"score":0.18816089630126953},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0905090868473053},{"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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":3,"locations":[{"id":"doi:10.1109/iv51971.2022.9826998","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv51971.2022.9826998","pdf_url":null,"source":{"id":"https://openalex.org/S4363605370","display_name":"2022 IEEE Intelligent Vehicles Symposium (IV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2206.15115","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2206.15115","pdf_url":"https://arxiv.org/pdf/2206.15115","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"pmh:oai:tudelft.nl:uuid:5ad8312a-e7df-410a-bb0e-cd1e97856d3c","is_oa":false,"landing_page_url":"http://resolver.tudelft.nl/uuid:5ad8312a-e7df-410a-bb0e-cd1e97856d3c","pdf_url":null,"source":{"id":"https://openalex.org/S4306400906","display_name":"Research Repository (Delft University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98358874","host_organization_name":"Delft University of Technology","host_organization_lineage":["https://openalex.org/I98358874"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference paper"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2206.15115","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2206.15115","pdf_url":"https://arxiv.org/pdf/2206.15115","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W169414593","https://openalex.org/W1972637587","https://openalex.org/W2102261079","https://openalex.org/W2139998722","https://openalex.org/W2783693896","https://openalex.org/W2799390374","https://openalex.org/W2892159560","https://openalex.org/W2900979075","https://openalex.org/W2914952844","https://openalex.org/W2962771180","https://openalex.org/W2968679427","https://openalex.org/W2995890675","https://openalex.org/W3134667573","https://openalex.org/W3184591755","https://openalex.org/W3194412638","https://openalex.org/W3205447877","https://openalex.org/W3208683079","https://openalex.org/W4211049957","https://openalex.org/W6680633967","https://openalex.org/W6771830055"],"related_works":["https://openalex.org/W2390558238","https://openalex.org/W4206622494","https://openalex.org/W3145670798","https://openalex.org/W2013776962","https://openalex.org/W2099544223","https://openalex.org/W2360000509","https://openalex.org/W2375426323","https://openalex.org/W2368128009","https://openalex.org/W2011604740","https://openalex.org/W3086876622"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,16,23,33,62,75,81,115],"novel":[4],"methodology":[5],"to":[6,26,79,105,123,135],"auto-tune":[7],"an":[8,99,129],"Unscented":[9],"Kalman":[10],"Filter":[11],"(UKF).":[12],"It":[13],"involves":[14],"using":[15,114],"Two-Stage":[17],"Bayesian":[18],"Optimisation":[19],"(TSBO),":[20],"based":[21],"on":[22,98],"t-Student":[24],"Process":[25],"optimise":[27],"the":[28,47,51,84,89,93,103,107,120,125,136],"process":[29],"noise":[30],"parameters":[31],"of":[32,50,65,91,133],"UKF":[34,108],"for":[35,57],"vehicle":[36,59,66],"sideslip":[37],"angle":[38],"estimation.":[39],"Our":[40],"method":[41],"minimises":[42],"performance":[43,127],"metrics,":[44],"given":[45],"by":[46],"average":[48],"sum":[49],"states\u2019":[52],"and":[53,119],"measurement\u2019":[54],"estimation":[55,126],"error":[56],"various":[58],"manoeuvres":[60],"covering":[61],"wide":[63],"range":[64],"behaviour.":[67],"The":[68],"predefined":[69],"cost":[70],"function":[71],"is":[72],"minimised":[73],"through":[74],"TSBO":[76],"which":[77],"aims":[78],"find":[80],"location":[82],"in":[83,109,128],"feasible":[85],"region":[86],"that":[87],"maximises":[88],"probability":[90],"improving":[92],"current":[94,137],"best":[95],"solution.":[96],"Results":[97],"experimental":[100,130],"dataset":[101,132],"show":[102],"capability":[104],"tune":[106],"79.9%":[110],"less":[111],"time":[112],"than":[113],"genetic":[116],"algorithm":[117],"(GA)":[118],"overall":[121],"capacity":[122],"improve":[124],"test":[131],"9.9%":[134],"state-of-the-art":[138],"GA.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}