{"id":"https://openalex.org/W4400646214","doi":"https://doi.org/10.1109/iv55156.2024.10588606","title":"Data-Driven Trajectory Tracking Control Algorithm Design for Fast Migration to Different Autonomous Vehicles","display_name":"Data-Driven Trajectory Tracking Control Algorithm Design for Fast Migration to Different Autonomous Vehicles","publication_year":2024,"publication_date":"2024-06-02","ids":{"openalex":"https://openalex.org/W4400646214","doi":"https://doi.org/10.1109/iv55156.2024.10588606"},"language":"en","primary_location":{"id":"doi:10.1109/iv55156.2024.10588606","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iv55156.2024.10588606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 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/A5113289279","display_name":"Yueming Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yueming Cao","raw_affiliation_strings":["Tsinghua University,Xingjian College,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Xingjian College,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113084570","display_name":"Zehong Ke","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zehong Ke","raw_affiliation_strings":["Tsinghua University,Xingjian College,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,Xingjian College,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085738753","display_name":"Shangyi Li","orcid":"https://orcid.org/0000-0002-4030-7280"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shangyi Li","raw_affiliation_strings":["Tsinghua University,School of Vehicle and Mobility,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,School of Vehicle and Mobility,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109166544","display_name":"Shibin Zhao","orcid":"https://orcid.org/0000-0001-5143-8481"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shibin Zhao","raw_affiliation_strings":["University of Chinese Academy of Sciences,School of Electronic, Electrical and Communication Engineering,Beijing,China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences,School of Electronic, Electrical and Communication Engineering,Beijing,China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100436358","display_name":"Jianqiang Wang","orcid":"https://orcid.org/0000-0002-1087-5762"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianqiang Wang","raw_affiliation_strings":["Tsinghua University,School of Vehicle and Mobility,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,School of Vehicle and Mobility,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011184498","display_name":"Shaobing Xu","orcid":"https://orcid.org/0000-0002-4127-2411"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaobing Xu","raw_affiliation_strings":["Tsinghua University,School of Vehicle and Mobility,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Tsinghua University,School of Vehicle and Mobility,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5113289279"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.2162,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47925892,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"29","issue":null,"first_page":"2709","last_page":"2716"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10805","display_name":"Vehicle Dynamics and Control Systems","score":0.9991000294685364,"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":0.9991000294685364,"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/T10524","display_name":"Traffic control and management","score":0.9980000257492065,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9973999857902527,"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/trajectory","display_name":"Trajectory","score":0.8073064088821411},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6792518496513367},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.6583720445632935},{"id":"https://openalex.org/keywords/algorithm-design","display_name":"Algorithm design","score":0.4915975034236908},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4564734101295471},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36321425437927246},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.36132341623306274},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35235410928726196},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.33494076132774353},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30975180864334106},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1648803949356079}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.8073064088821411},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6792518496513367},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.6583720445632935},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.4915975034236908},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4564734101295471},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36321425437927246},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.36132341623306274},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35235410928726196},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.33494076132774353},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30975180864334106},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1648803949356079},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iv55156.2024.10588606","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iv55156.2024.10588606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7799999713897705}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W2035612270","https://openalex.org/W2334638534","https://openalex.org/W2523246573","https://openalex.org/W2619842829","https://openalex.org/W2896447996","https://openalex.org/W2913416895","https://openalex.org/W2920383363","https://openalex.org/W2939569248","https://openalex.org/W2970531300","https://openalex.org/W3000193750","https://openalex.org/W3017736836","https://openalex.org/W3047772261","https://openalex.org/W3085640145","https://openalex.org/W3102280263","https://openalex.org/W3112384063","https://openalex.org/W3196025000","https://openalex.org/W3214067022","https://openalex.org/W4200552493","https://openalex.org/W4285241557","https://openalex.org/W4313291329","https://openalex.org/W6640586965","https://openalex.org/W6727249380","https://openalex.org/W6800238379"],"related_works":["https://openalex.org/W1941703695","https://openalex.org/W4248382324","https://openalex.org/W3131574667","https://openalex.org/W4323768008","https://openalex.org/W4360995134","https://openalex.org/W2373557848","https://openalex.org/W2088970451","https://openalex.org/W2002488624","https://openalex.org/W2157008402","https://openalex.org/W2592302855"],"abstract_inverted_index":{"Deploying":[0],"a":[1,8,24,49,176,192],"certain":[2,193],"trajectory":[3],"tracking":[4,112],"control":[5,16,64,97,123,131,160,189,207,222],"algorithm":[6,68,120],"to":[7,19,30,85,88,144,156,210,216],"different":[9],"autonomous":[10,90],"vehicle":[11],"is":[12,102,107,154],"time-consuming":[13],"as":[14,38,65],"most":[15],"parameters":[17,34,57],"need":[18],"be":[20],"fine-tuned,":[21],"which":[22,204],"necessitates":[23],"series":[25],"of":[26,55,139,201,233],"experiments":[27],"and":[28,43,83,124,147,168,175,235],"computations":[29],"ascertain":[31],"the":[32,56,66,96,109,119,129,151,158,162,183,188,206,217,221,225,238],"appropriate":[33],"considering":[35],"factors":[36],"such":[37],"tire":[39],"stiffness,":[40],"inertia,":[41],"wheelbase,":[42],"speed":[44,194,240],"levels.":[45],"This":[46],"paper":[47],"introduces":[48],"data-driven":[50],"method":[51,227],"for":[52,58,161,191],"automatic":[53],"optimization":[54],"fast":[59],"migration.":[60],"We":[61],"leverage":[62],"preview":[63,159],"fundamental":[67],"whose":[69],"effectiveness":[70],"has":[71],"been":[72],"proven":[73],"on":[74,172],"an":[75],"automated":[76],"Lincoln":[77],"MKZ":[78],"in":[79,231],"our":[80],"previous":[81],"studies":[82],"aim":[84],"deploy":[86],"it":[87],"other":[89],"cars":[91],"more":[92],"efficiently.":[93],"To":[94],"learn":[95,187],"parameters,":[98],"naturalistic":[99],"driving":[100,202],"data":[101,110],"collected,":[103],"but":[104],"one":[105],"challenge":[106],"that":[108,182],"lacks":[111],"error":[113],"information.":[114],"The":[115,166],"proposed":[116,184,226],"strategy":[117],"decouples":[118],"into":[121],"feedforward":[122,146],"feedback":[125,148],"control,":[126,220],"then":[127,150],"learns":[128],"two":[130],"parts":[132],"separately":[133],"with":[134,196],"well-designed":[135],"experiments.":[136],"Multiple":[137],"schemes":[138],"neural":[140],"networks":[141],"are":[142],"devised":[143],"identify":[145],"gains,":[149],"optimal":[152],"scheme":[153],"selected":[155],"form":[157],"given":[163],"target":[164],"vehicle.":[165],"deployment":[167,208],"validation":[169],"take":[170],"place":[171],"both":[173],"simulation":[174],"4\u00d74":[177],"off-road":[178],"platform.":[179],"Tests":[180],"show":[181],"pipeline":[185],"can":[186],"gains":[190],"range":[195],"only":[197],"around":[198],"0.5":[199],"hours":[200],"data,":[203],"accelerates":[205],"compared":[209],"empirical":[211],"human-based":[212],"fine":[213],"tuning.":[214],"Compared":[215],"pure":[218],"pursuit":[219],"identified":[223],"by":[224],"demonstrates":[228],"outstanding":[229],"performance":[230],"terms":[232],"accuracy":[234],"stability":[236],"at":[237],"specific":[239],"range.":[241]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}