{"id":"https://openalex.org/W7137056560","doi":"https://doi.org/10.1109/itsc60802.2025.11423578","title":"A Learning-Based Planning and Control Framework for Inertia Drift Vehicles","display_name":"A Learning-Based Planning and Control Framework for Inertia Drift Vehicles","publication_year":2025,"publication_date":"2025-11-18","ids":{"openalex":"https://openalex.org/W7137056560","doi":"https://doi.org/10.1109/itsc60802.2025.11423578"},"language":null,"primary_location":{"id":"doi:10.1109/itsc60802.2025.11423578","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc60802.2025.11423578","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100335204","display_name":"Bo Zhou","orcid":"https://orcid.org/0000-0001-8133-5299"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bei Zhou","raw_affiliation_strings":["Zhejiang University,State Key Laboratory of Industrial Control Technology,Hang zhou,China,310058"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University,State Key Laboratory of Industrial Control Technology,Hang zhou,China,310058","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129479474","display_name":"Zhouheng Li","orcid":null},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhouheng Li","raw_affiliation_strings":["Zhejiang University,State Key Laboratory of Industrial Control Technology,Hang zhou,China,310058"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University,State Key Laboratory of Industrial Control Technology,Hang zhou,China,310058","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129430643","display_name":"Lei Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Xie","raw_affiliation_strings":["Zhejiang University,State Key Laboratory of Industrial Control Technology,Hang zhou,China,310058"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University,State Key Laboratory of Industrial Control Technology,Hang zhou,China,310058","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089754029","display_name":"Hongye Su","orcid":null},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongye Su","raw_affiliation_strings":["Zhejiang University,State Key Laboratory of Industrial Control Technology,Hang zhou,China,310058"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University,State Key Laboratory of Industrial Control Technology,Hang zhou,China,310058","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5129575267","display_name":"Johannes Betz","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":"Johannes Betz","raw_affiliation_strings":["Professorship of Autonomous Vehicle Systems, Technical University of Munich, Munich Institute of Robotics and Machine Intelligence (MIRMI),Garching,Germany,85748"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Professorship of Autonomous Vehicle Systems, Technical University of Munich, Munich Institute of Robotics and Machine Intelligence (MIRMI),Garching,Germany,85748","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2289","last_page":"2294"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10805","display_name":"Vehicle Dynamics and Control Systems","score":0.3483999967575073,"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":0.3483999967575073,"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/T11615","display_name":"Control and Dynamics of Mobile Robots","score":0.09520000219345093,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.0729999989271164,"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/control","display_name":"Control (management)","score":0.5188999772071838},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5120999813079834},{"id":"https://openalex.org/keywords/inertia","display_name":"Inertia","score":0.4185999929904938},{"id":"https://openalex.org/keywords/control-system","display_name":"Control system","score":0.3693999946117401},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.3061999976634979},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.29109999537467957}],"concepts":[{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5188999772071838},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5120999813079834},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4932999908924103},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.4219000041484833},{"id":"https://openalex.org/C110407247","wikidata":"https://www.wikidata.org/wiki/Q122508","display_name":"Inertia","level":2,"score":0.4185999929904938},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.3693999946117401},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3686000108718872},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.3061999976634979},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.29109999537467957},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.25529998540878296},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.2547000050544739},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2533000111579895},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.25049999356269836},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc60802.2025.11423578","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc60802.2025.11423578","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5894944667816162,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"},{"score":0.4756441116333008,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1964565648","https://openalex.org/W2147524078","https://openalex.org/W2192203593","https://openalex.org/W3129348882","https://openalex.org/W3209639379","https://openalex.org/W4285228542","https://openalex.org/W4293009479","https://openalex.org/W4313886728","https://openalex.org/W4389474010","https://openalex.org/W4389667488","https://openalex.org/W4392389262","https://openalex.org/W4402262580","https://openalex.org/W4407558816","https://openalex.org/W4408605173","https://openalex.org/W4408929014"],"related_works":[],"abstract_inverted_index":{"Inertia":[0],"drift":[1,9,35,52,62,79,120,159],"is":[2,71,123],"a":[3,30,56,92,104,109,128],"transitional":[4],"maneuver":[5],"between":[6,41,116],"two":[7],"sustained":[8,119],"stages":[10],"in":[11],"opposite":[12],"directions,":[13],"which":[14,102],"provides":[15],"valuable":[16],"insights":[17],"for":[18,23,33,136],"navigating":[19],"consecutive":[20],"sharp":[21,161],"corners":[22],"autonomous":[24],"racing.":[25],"However,":[26],"this":[27,70,89],"can":[28,153],"be":[29],"challenging":[31],"scenario":[32],"the":[34,75,150],"controller":[36],"to":[37,60,107,126],"handle":[38],"rapid":[39],"transitions":[40],"opposing":[42],"sideslip":[43],"angles":[44],"while":[45],"maintaining":[46],"accurate":[47,51],"path":[48,147],"tracking.":[49],"Moreover,":[50],"control":[53,96,130],"depends":[54],"on":[55,142],"high-fidelity":[57],"vehicle":[58,67],"model":[59],"derive":[61],"equilibrium":[63],"points":[64],"and":[65,81,95,112,118,156],"predict":[66],"states,":[68],"but":[69],"often":[72],"compromised":[73],"by":[74],"strongly":[76],"coupled":[77],"longitudinal-lateral":[78],"dynamics":[80],"unpredictable":[82],"environmental":[83],"variations.":[84],"To":[85],"address":[86],"these":[87],"challenges,":[88],"paper":[90],"proposes":[91],"learning-based":[93],"planning":[94,105],"framework":[97,152],"utilizing":[98],"Bayesian":[99],"optimization":[100],"(BO),":[101],"develops":[103],"logic":[106],"ensure":[108],"smooth":[110,155],"transition":[111],"minimal":[113],"velocity":[114],"loss":[115],"inertia":[117,158],"phases.":[121],"BO":[122],"further":[124],"employed":[125],"learn":[127],"performance-driven":[129],"policy":[131],"that":[132,149],"mitigates":[133],"modeling":[134],"errors":[135],"enhanced":[137],"system":[138],"performance.":[139],"Simulation":[140],"results":[141],"an":[143],"8":[144],"-shape":[145],"reference":[146],"demonstrate":[148],"proposed":[151],"achieve":[154],"stable":[157],"through":[160],"corners.":[162]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-03-17T00:00:00"}
