{"id":"https://openalex.org/W2989630914","doi":"https://doi.org/10.1109/itsc.2019.8916969","title":"Dynamic States Prediction in Autonomous Vehicles: Comparison of Three Different Methods","display_name":"Dynamic States Prediction in Autonomous Vehicles: Comparison of Three Different Methods","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2989630914","doi":"https://doi.org/10.1109/itsc.2019.8916969","mag":"2989630914"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2019.8916969","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5100416715","display_name":"Teng Liu","orcid":"https://orcid.org/0000-0001-5862-0518"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"funder","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Teng Liu","raw_affiliation_strings":["Mechanical and Mechatronics Engineering Department, University of Waterloo, Canada"],"affiliations":[{"raw_affiliation_string":"Mechanical and Mechatronics Engineering Department, University of Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112113074","display_name":"Bin Tian","orcid":"https://orcid.org/0000-0003-1050-1282"},"institutions":[{"id":"https://openalex.org/I4210112270","display_name":"Qingdao Academy of Intelligent Industries","ror":"https://ror.org/02a0rnh86","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210112270"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Tian","raw_affiliation_strings":["Vehicle Intelligence Pioneers Inc., Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Vehicle Intelligence Pioneers Inc., Qingdao, China","institution_ids":["https://openalex.org/I4210112270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022489675","display_name":"Yunfeng Ai","orcid":"https://orcid.org/0000-0002-2673-1368"},"institutions":[{"id":"https://openalex.org/I4210112270","display_name":"Qingdao Academy of Intelligent Industries","ror":"https://ror.org/02a0rnh86","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210112270"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunfeng Ai","raw_affiliation_strings":["Vehicle Intelligence Pioneers Inc., Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Vehicle Intelligence Pioneers Inc., Qingdao, China","institution_ids":["https://openalex.org/I4210112270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100336450","display_name":"Long Chen","orcid":"https://orcid.org/0000-0003-4925-0572"},"institutions":[{"id":"https://openalex.org/I4210112270","display_name":"Qingdao Academy of Intelligent Industries","ror":"https://ror.org/02a0rnh86","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210112270"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Chen","raw_affiliation_strings":["Vehicle Intelligence Pioneers Inc., Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Vehicle Intelligence Pioneers Inc., Qingdao, China","institution_ids":["https://openalex.org/I4210112270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100394628","display_name":"Fei Liu","orcid":"https://orcid.org/0000-0002-5625-7484"},"institutions":[],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Liu","raw_affiliation_strings":["Xilinx Technology Beijing Limited, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Xilinx Technology Beijing Limited, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031991761","display_name":"Dongpu Cao","orcid":"https://orcid.org/0000-0001-7929-4336"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"funder","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Dongpu Cao","raw_affiliation_strings":["Department of Mechanical and Mechatronics Engineering, University of Waterloo, Ontario, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Mechatronics Engineering, University of Waterloo, Ontario, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019699053","display_name":"Ning Bian","orcid":"https://orcid.org/0000-0002-4779-8641"},"institutions":[{"id":"https://openalex.org/I4210158664","display_name":"Dongfeng Motor (China)","ror":"https://ror.org/049j15k39","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210158664"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Bian","raw_affiliation_strings":["dongfeng motor corporation, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"dongfeng motor corporation, Wuhan, China","institution_ids":["https://openalex.org/I4210158664"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113600509","display_name":"Fei\u2010Yue Wang","orcid":"https://orcid.org/0000-0001-9185-3989"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei-Yue Wang","raw_affiliation_strings":["State Key Lab. of Manage. and Control for Complex Syst., Inst. of Autom., Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Lab. of Manage. and Control for Complex Syst., Inst. of Autom., Beijing, China","institution_ids":["https://openalex.org/I4210094879"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.933,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.701727,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":85,"max":86},"biblio":{"volume":null,"issue":null,"first_page":"3750","last_page":"3755"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.999,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.999,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.994,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":0.9927,"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"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7485168},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.55673003},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5346277},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5268423},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47754487},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.4762792},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.44921213},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.42504254},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4121313},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36550668},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17993364},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.15199378},{"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},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.0},{"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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2019.8916969","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, justice, and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.62}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":19,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1522760561","https://openalex.org/W1590594658","https://openalex.org/W1601655980","https://openalex.org/W2036785686","https://openalex.org/W2054469884","https://openalex.org/W2097545165","https://openalex.org/W2118688707","https://openalex.org/W2177262641","https://openalex.org/W2594167370","https://openalex.org/W2618149076","https://openalex.org/W2737658251","https://openalex.org/W2744745135","https://openalex.org/W2754582354","https://openalex.org/W2769653144","https://openalex.org/W2774231091","https://openalex.org/W2901472231","https://openalex.org/W2919115771","https://openalex.org/W2962841471"],"related_works":["https://openalex.org/W4309045103","https://openalex.org/W4306674287","https://openalex.org/W4306321456","https://openalex.org/W4286629047","https://openalex.org/W4285260836","https://openalex.org/W4224009465","https://openalex.org/W4213225422","https://openalex.org/W3046775127","https://openalex.org/W2961085424","https://openalex.org/W2771477631"],"abstract_inverted_index":{"As":[0],"a":[1,12,92],"combination":[2],"of":[3,6,14,114],"various":[4],"kinds":[5],"technologies,":[7],"autonomous":[8,56],"vehicles":[9],"could":[10],"complete":[11],"series":[13,54],"driving":[15],"tasks":[16],"by":[17],"itself,":[18],"such":[19],"as":[20,91],"perception,":[21],"decision-making,":[22],"planning":[23],"and":[24,67,76,95,112,120],"control.":[25],"Since":[26],"there":[27],"is":[28,40,89,99],"no":[29],"human":[30],"driver":[31],"to":[32,50,101],"handle":[33],"the":[34,52,60,74,86,96,109,115],"emergency":[35],"situation,":[36],"future":[37,103],"transportation":[38],"information":[39,104],"significant":[41],"for":[42,55,79],"automated":[43],"vehicles.":[44],"This":[45],"paper":[46],"proposes":[47],"different":[48],"methods":[49,117],"forecast":[51],"time":[53],"vehicles,":[57],"which":[58],"are":[59,83,118],"nearest":[61],"neighborhood":[62],"(NN),":[63],"fuzzy":[64],"coding":[65],"(FC)":[66],"long":[68],"short":[69],"term":[70],"memory":[71],"(LSTM).":[72],"First,":[73],"formulation":[75],"operational":[77],"process":[78],"these":[80,106],"three":[81],"approaches":[82],"introduced.":[84],"Then,":[85],"vehicle":[87],"velocity":[88],"regarded":[90],"case":[93],"study":[94],"real-world":[97],"dataset":[98],"utilized":[100],"predict":[102],"via":[105],"techniques.":[107],"Finally,":[108],"performance,":[110],"merits":[111],"drawbacks":[113],"presented":[116],"analyzed":[119],"discussed.":[121]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2989630914","counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":5}],"updated_date":"2025-04-23T02:40:37.080634","created_date":"2019-12-05"}