{"id":"https://openalex.org/W4313451527","doi":"https://doi.org/10.1109/dtpi55838.2022.9998956","title":"End to End Autonomous Driving Behavior Prediction Based on Deep Convolution Neural Network","display_name":"End to End Autonomous Driving Behavior Prediction Based on Deep Convolution Neural Network","publication_year":2022,"publication_date":"2022-10-24","ids":{"openalex":"https://openalex.org/W4313451527","doi":"https://doi.org/10.1109/dtpi55838.2022.9998956"},"language":"en","primary_location":{"id":"doi:10.1109/dtpi55838.2022.9998956","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dtpi55838.2022.9998956","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)","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/A5078255726","display_name":"Baicang Guo","orcid":"https://orcid.org/0000-0002-1130-4232"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bai-cang Guo","raw_affiliation_strings":["School of Vehicle and Energy, Yanshan University,Qinhuangdao,China","School of Vehicle and Energy, Yanshan University, Qinhuangdao, China"],"affiliations":[{"raw_affiliation_string":"School of Vehicle and Energy, Yanshan University,Qinhuangdao,China","institution_ids":["https://openalex.org/I39333907"]},{"raw_affiliation_string":"School of Vehicle and Energy, Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046095785","display_name":"Yin-lin Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yin-lin Wang","raw_affiliation_strings":["School of Vehicle and Energy, Yanshan University,Qinhuangdao,China","School of Vehicle and Energy, Yanshan University, Qinhuangdao, China"],"affiliations":[{"raw_affiliation_string":"School of Vehicle and Energy, Yanshan University,Qinhuangdao,China","institution_ids":["https://openalex.org/I39333907"]},{"raw_affiliation_string":"School of Vehicle and Energy, Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010984242","display_name":"Ming Gao","orcid":"https://orcid.org/0000-0003-4199-4470"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Gao","raw_affiliation_strings":["Hunan University,College of Mechanical and Vehicle Engineering,Qinhuangdao,China","College of Mechanical and Vehicle Engineering, Hunan University, Qinhuangdao, China"],"affiliations":[{"raw_affiliation_string":"Hunan University,College of Mechanical and Vehicle Engineering,Qinhuangdao,China","institution_ids":["https://openalex.org/I16609230"]},{"raw_affiliation_string":"College of Mechanical and Vehicle Engineering, Hunan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100778917","display_name":"Jia Lu","orcid":"https://orcid.org/0000-0001-7631-475X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jia Lu","raw_affiliation_strings":["Qiming Information Technology Co.,Ltd,Research and Development Centre,Changchun,China","Research and Development Centre, Qiming Information Technology Co.,Ltd, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Qiming Information Technology Co.,Ltd,Research and Development Centre,Changchun,China","institution_ids":[]},{"raw_affiliation_string":"Research and Development Centre, Qiming Information Technology Co.,Ltd, Changchun, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108276554","display_name":"Guangsheng Han","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094894","display_name":"China Automotive Technology and Research Center","ror":"https://ror.org/00r5r6807","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210094894"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guang-sheng Han","raw_affiliation_strings":["Automotive Engineering Research Institute, China Automotive Technology and Research Center Co., Ltd,Tianjin,China","Automotive Engineering Research Institute, China Automotive Technology and Research Center Co., Ltd, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Automotive Engineering Research Institute, China Automotive Technology and Research Center Co., Ltd,Tianjin,China","institution_ids":["https://openalex.org/I4210094894"]},{"raw_affiliation_string":"Automotive Engineering Research Institute, China Automotive Technology and Research Center Co., Ltd, Tianjin, China","institution_ids":["https://openalex.org/I4210094894"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102005478","display_name":"Libin Zhang","orcid":"https://orcid.org/0000-0001-7754-483X"},"institutions":[{"id":"https://openalex.org/I4210094894","display_name":"China Automotive Technology and Research Center","ror":"https://ror.org/00r5r6807","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210094894"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li-bin Zhang","raw_affiliation_strings":["Automotive Engineering Research Institute, China Automotive Technology and Research Center Co., Ltd,Tianjin,China","Automotive Engineering Research Institute, China Automotive Technology and Research Center Co., Ltd, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"Automotive Engineering Research Institute, China Automotive Technology and Research Center Co., Ltd,Tianjin,China","institution_ids":["https://openalex.org/I4210094894"]},{"raw_affiliation_string":"Automotive Engineering Research Institute, China Automotive Technology and Research Center Co., Ltd, Tianjin, China","institution_ids":["https://openalex.org/I4210094894"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5078255726"],"corresponding_institution_ids":["https://openalex.org/I39333907"],"apc_list":null,"apc_paid":null,"fwci":0.1549,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.45445885,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9993000030517578,"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":0.9993000030517578,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.7551982402801514},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6815850138664246},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6784107685089111},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.620222270488739},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5895894765853882},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5693495273590088},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5130102038383484},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5017192363739014},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4864673316478729},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46319741010665894},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.459835946559906},{"id":"https://openalex.org/keywords/end-to-end-principle","display_name":"End-to-end principle","score":0.4482373297214508},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42129606008529663},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4104382395744324},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2363719344139099}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7551982402801514},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6815850138664246},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6784107685089111},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.620222270488739},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5895894765853882},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5693495273590088},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5130102038383484},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5017192363739014},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4864673316478729},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46319741010665894},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.459835946559906},{"id":"https://openalex.org/C74296488","wikidata":"https://www.wikidata.org/wiki/Q2527392","display_name":"End-to-end principle","level":2,"score":0.4482373297214508},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42129606008529663},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4104382395744324},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2363719344139099},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dtpi55838.2022.9998956","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dtpi55838.2022.9998956","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"}],"awards":[{"id":"https://openalex.org/G2375550858","display_name":null,"funder_award_id":"52202503","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1849277567","https://openalex.org/W2112796928","https://openalex.org/W2194775991","https://openalex.org/W2609292110","https://openalex.org/W2734677449","https://openalex.org/W2740067745","https://openalex.org/W2752782242","https://openalex.org/W2884585870","https://openalex.org/W2897079667","https://openalex.org/W2914304175","https://openalex.org/W3011462663","https://openalex.org/W3022980567","https://openalex.org/W3034552520","https://openalex.org/W3174295900","https://openalex.org/W3176129639","https://openalex.org/W3208016204","https://openalex.org/W4206397369","https://openalex.org/W4225990618"],"related_works":["https://openalex.org/W3179968364","https://openalex.org/W1999612375","https://openalex.org/W2938107654","https://openalex.org/W2151749779","https://openalex.org/W3008587939","https://openalex.org/W3196421258","https://openalex.org/W4387301579","https://openalex.org/W2951281592","https://openalex.org/W2486460843","https://openalex.org/W3178608096"],"abstract_inverted_index":{"The":[0],"end-to-end":[1,28,57],"automatic":[2,16,58],"driving":[3,17,29,59,164],"behavior":[4,30,60,165],"prediction":[5,31,128,166],"has":[6],"become":[7],"an":[8,146],"important":[9],"research":[10],"direction":[11],"in":[12,48,163],"the":[13,26,64,68,79,86,96,101,108,118,125,134,140,158,177,188],"field":[14],"of":[15,19,25,120,139,160],"because":[18],"its":[20,184],"simplicity":[21],"and":[22,42,71,104,107],"efficiency.":[23],"Most":[24],"existing":[27],"models":[32],"use":[33],"simple":[34],"CNN":[35,171],"structure.":[36],"However,":[37],"this":[38],"method":[39],"is":[40,89,114,130,186],"vulnerable":[41],"captures":[43],"less":[44],"deep":[45],"information,":[46],"resulting":[47],"poor":[49],"accuracy.":[50],"In":[51,173],"order":[52],"to":[53,91,116],"achieve":[54],"more":[55],"accurate":[56],"prediction,":[61],"we":[62],"combined":[63],"attention":[65,82,111,119,182],"mechanism":[66,83],"with":[67,176],"depth":[69],"network":[70,75,88],"developed":[72],"a":[73],"residual":[74,87],"(ResNet50)":[76],"model":[77,178],"integrating":[78],"effective":[80,109],"channel":[81,110],"(ECANet).":[84],"First,":[85],"used":[90],"extract":[92],"spatial":[93,136],"features":[94],"from":[95],"RGB":[97],"images":[98],"collected":[99],"by":[100,132],"left,":[102],"middle":[103],"right":[105],"cameras,":[106],"module":[112],"(ECA)":[113],"embedded":[115],"weight":[117],"each":[121],"feature":[122,137],"channel.":[123],"Secondly,":[124],"steering":[126],"angle":[127],"result":[129],"output":[131],"using":[133,150],"weighted":[135],"information":[138],"full":[141],"connection":[142],"layer":[143],"fusion.":[144],"Finally,":[145],"experiment":[147],"was":[148,167],"conducted":[149],"Udacity's":[151],"public":[152],"data":[153],"set,":[154],"which":[155],"showed":[156],"that":[157],"accuracy":[159,185],"ECA":[161],"resnet50":[162],"better":[168],"than":[169],"other":[170,181],"models.":[172],"addition,":[174],"compared":[175],"based":[179],"on":[180],"mechanisms,":[183],"also":[187],"highest.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}