{"id":"https://openalex.org/W3119215434","doi":"https://doi.org/10.1109/iv47402.2020.9304778","title":"Autonomous Driving Vehicle Control Auto-Calibration System: An Industry-Level, Data-Driven and Learning-based Vehicle Longitudinal Dynamic Calibrating Algorithm","display_name":"Autonomous Driving Vehicle Control Auto-Calibration System: An Industry-Level, Data-Driven and Learning-based Vehicle Longitudinal Dynamic Calibrating Algorithm","publication_year":2020,"publication_date":"2020-10-19","ids":{"openalex":"https://openalex.org/W3119215434","doi":"https://doi.org/10.1109/iv47402.2020.9304778","mag":"3119215434"},"language":"en","primary_location":{"id":"doi:10.1109/iv47402.2020.9304778","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv47402.2020.9304778","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Intelligent Vehicles Symposium (IV)","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/A5101876548","display_name":"Fan Zhu","orcid":"https://orcid.org/0009-0001-5841-5335"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fan Zhu","raw_affiliation_strings":["Baidu USA LLC, Sunnyvale, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu USA LLC, Sunnyvale, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053112608","display_name":"Xin Xu","orcid":"https://orcid.org/0000-0003-3238-745X"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Xu","raw_affiliation_strings":["Baidu Inc., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103172321","display_name":"Lin Ma","orcid":"https://orcid.org/0000-0003-4140-0302"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Ma","raw_affiliation_strings":["Baidu Inc., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008871820","display_name":"Dingfeng Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dingfeng Guo","raw_affiliation_strings":["Baidu Inc., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102960867","display_name":"Xiao Cui","orcid":"https://orcid.org/0009-0006-3166-7483"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Cui","raw_affiliation_strings":["Baidu Inc., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023365320","display_name":"Qi Kong","orcid":"https://orcid.org/0000-0003-2867-7382"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qi Kong","raw_affiliation_strings":["Baidu USA LLC, Sunnyvale, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu USA LLC, Sunnyvale, CA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"391","last_page":"397"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.9943000078201294,"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/T12095","display_name":"Vehicle emissions and performance","score":0.9943000078201294,"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":0.9842000007629395,"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":0.9815000295639038,"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/calibration","display_name":"Calibration","score":0.7697277665138245},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.7077714800834656},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7019908428192139},{"id":"https://openalex.org/keywords/offline-learning","display_name":"Offline learning","score":0.4870343804359436},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4863872826099396},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.47471535205841064},{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.43976709246635437},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.40165045857429504},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31114310026168823},{"id":"https://openalex.org/keywords/online-learning","display_name":"Online learning","score":0.21909379959106445},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18598777055740356},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.15555480122566223},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.14564216136932373}],"concepts":[{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.7697277665138245},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.7077714800834656},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7019908428192139},{"id":"https://openalex.org/C2780490138","wikidata":"https://www.wikidata.org/wiki/Q7079636","display_name":"Offline learning","level":3,"score":0.4870343804359436},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4863872826099396},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.47471535205841064},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.43976709246635437},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.40165045857429504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31114310026168823},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.21909379959106445},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18598777055740356},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.15555480122566223},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.14564216136932373},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iv47402.2020.9304778","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv47402.2020.9304778","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1490488263","https://openalex.org/W1502922572","https://openalex.org/W1538799060","https://openalex.org/W1544016679","https://openalex.org/W1968105121","https://openalex.org/W2008056655","https://openalex.org/W2034190723","https://openalex.org/W2039889697","https://openalex.org/W2050232403","https://openalex.org/W2076196386","https://openalex.org/W2091537908","https://openalex.org/W2093072099","https://openalex.org/W2118529059","https://openalex.org/W2133990480","https://openalex.org/W2134822252","https://openalex.org/W2136268177","https://openalex.org/W2139137304","https://openalex.org/W2140305633","https://openalex.org/W2150876197","https://openalex.org/W2153951588","https://openalex.org/W2160741122","https://openalex.org/W2172117433","https://openalex.org/W2481690165","https://openalex.org/W2517073520","https://openalex.org/W2559177759","https://openalex.org/W2884634491","https://openalex.org/W2886616503","https://openalex.org/W2911964244"],"related_works":["https://openalex.org/W4394360958","https://openalex.org/W2948670949","https://openalex.org/W4288047943","https://openalex.org/W4394193569","https://openalex.org/W1797990060","https://openalex.org/W4232484699","https://openalex.org/W2473636215","https://openalex.org/W3175944335","https://openalex.org/W2062829680","https://openalex.org/W2516638161"],"abstract_inverted_index":{"The":[0,104],"control":[1,13,57,156,176],"module":[2],"is":[3,36,165],"a":[4,11,38,51,55,78,154],"crucial":[5],"part":[6],"for":[7,66,112,207],"autonomous":[8],"driving":[9,102],"systems,":[10],"typical":[12],"algorithm":[14,132],"often":[15],"requires":[16,118],"vehicle":[17],"dynamics":[18,46],"(such":[19],"as":[20,23,108],"longitudinal":[21,45,80],"dynamics)":[22],"inputs,":[24],"which,":[25],"unfortunately":[26],"are":[27],"difficult":[28],"to":[29,40,87,133,153,167,183,222],"calibrate":[30],"in":[31,44,91],"real":[32,92,174],"time.":[33,93],"Further,":[34],"it":[35,116],"also":[37],"challenge":[39],"reflect":[41],"instantaneous":[42],"changes":[43,63,90,170],"(e.g.":[47],"load":[48,62,89,169],"changes)":[49],"using":[50,83],"calibration":[52,81,98],"table.":[53],"As":[54],"result,":[56],"performance":[58,145],"may":[59],"deteriorate":[60],"when":[61],"considerably":[64],"(especially":[65],"small":[67],"cargoes).":[68],"In":[69],"this":[70],"paper,":[71],"we":[72,76],"will":[73],"show":[74],"how":[75],"build":[77],"data-driven":[79],"procedure":[82],"machine":[84],"learning":[85,131],"techniques":[86],"adapt":[88],"We":[94,126],"first":[95],"generated":[96],"offline":[97,105,140,150],"tables":[99],"from":[100],"human":[101],"data.":[103],"table":[106,138],"serves":[107],"an":[109,129],"initial":[110,137],"guess":[111],"later":[113],"uses,":[114],"and":[115,124,171,193,212,218],"only":[117],"twenty":[119],"minutes":[120],"of":[121],"data":[122],"collection":[123],"processing.":[125],"then":[127],"used":[128],"online":[130,163],"appropriately":[134],"update":[135],"the":[136,202],"(the":[139],"table)":[141],"based":[142],"on":[143],"real-time":[144],"analysis.":[146],"Experiments":[147],"indicated":[148],"(a)":[149],"auto-calibration":[151,164],"leads":[152],"better":[155],"accuracy,":[157],"compared":[158],"with":[159],"manual":[160],"calibration;":[161],"(b)":[162],"capable":[166],"handle":[168],"significantly":[172],"reduce":[173],"time":[175],"error.":[177],"This":[178],"system":[179,203],"has":[180],"been":[181,205],"deployed":[182],"more":[184,208],"than":[185,209],"one":[186],"hundred":[187],"Baidu":[188],"self-driving":[189],"vehicles":[190],"(both":[191],"hybrid":[192],"electronic":[194],"vehicles)":[195],"since":[196],"April":[197],"2018.":[198],"By":[199],"January":[200],"2019,":[201],"had":[204],"tested":[206],"2,000":[210],"hours":[211],"over":[213],"10,000":[214],"kilometers":[215],"(6,213":[216],"miles)":[217],"was":[219],"still":[220],"proven":[221],"be":[223],"effective.":[224]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}