{"id":"https://openalex.org/W2791814097","doi":"https://doi.org/10.1109/itsc.2017.8317874","title":"Convolution neural network-based lane change intention prediction of surrounding vehicles for ACC","display_name":"Convolution neural network-based lane change intention prediction of surrounding vehicles for ACC","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2791814097","doi":"https://doi.org/10.1109/itsc.2017.8317874","mag":"2791814097"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2017.8317874","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2017.8317874","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC)","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/A5100436245","display_name":"Donghan Lee","orcid":"https://orcid.org/0000-0002-1974-0223"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Donghan Lee","raw_affiliation_strings":["Department of Mechanical Engineering, University of California, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of California, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032742136","display_name":"Youngwook Paul Kwon","orcid":"https://orcid.org/0009-0003-0529-3578"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Youngwook Paul Kwon","raw_affiliation_strings":["Department of Mechanical Engineering, University of California, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of California, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028643684","display_name":"Sara McMains","orcid":"https://orcid.org/0000-0002-7152-9409"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sara McMains","raw_affiliation_strings":["Department of Mechanical Engineering, University of California, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of California, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083232991","display_name":"J. Karl Hedrick","orcid":null},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Karl Hedrick","raw_affiliation_strings":["Department of Mechanical Engineering, University of California, Berkeley, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of California, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100436245"],"corresponding_institution_ids":["https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":4.8074,"has_fulltext":false,"cited_by_count":125,"citation_normalized_percentile":{"value":0.95229195,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9995999932289124,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/cruise-control","display_name":"Cruise control","score":0.7989537715911865},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7607546448707581},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7297449707984924},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7280445694923401},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6483646035194397},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5541073679924011},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4921354651451111},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48435863852500916},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.4148680567741394},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36916959285736084},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3219592571258545},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.31933051347732544}],"concepts":[{"id":"https://openalex.org/C113168747","wikidata":"https://www.wikidata.org/wiki/Q507295","display_name":"Cruise control","level":3,"score":0.7989537715911865},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7607546448707581},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7297449707984924},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7280445694923401},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6483646035194397},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5541073679924011},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4921354651451111},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48435863852500916},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.4148680567741394},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36916959285736084},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3219592571258545},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.31933051347732544},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2017.8317874","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2017.8317874","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC)","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":29,"referenced_works":["https://openalex.org/W46659105","https://openalex.org/W631263868","https://openalex.org/W1505721114","https://openalex.org/W1520813427","https://openalex.org/W1686810756","https://openalex.org/W1903029394","https://openalex.org/W1961245208","https://openalex.org/W1978529738","https://openalex.org/W2012849708","https://openalex.org/W2030032449","https://openalex.org/W2055556996","https://openalex.org/W2095705004","https://openalex.org/W2097545165","https://openalex.org/W2098450792","https://openalex.org/W2100488636","https://openalex.org/W2109322262","https://openalex.org/W2138997468","https://openalex.org/W2152239535","https://openalex.org/W2212363941","https://openalex.org/W2507412229","https://openalex.org/W2573790557","https://openalex.org/W2742011098","https://openalex.org/W2784927274","https://openalex.org/W2962835968","https://openalex.org/W2963037989","https://openalex.org/W6620229239","https://openalex.org/W6631209646","https://openalex.org/W6637373629","https://openalex.org/W6674330103"],"related_works":["https://openalex.org/W4253720181","https://openalex.org/W644513019","https://openalex.org/W2586244547","https://openalex.org/W2964954556","https://openalex.org/W2517167844","https://openalex.org/W2246414322","https://openalex.org/W1122978781","https://openalex.org/W173875111","https://openalex.org/W651900853","https://openalex.org/W2140688431"],"abstract_inverted_index":{"Adaptive":[0],"cruise":[1,36],"control":[2,37],"is":[3,93],"one":[4],"of":[5,87,116],"the":[6,113,119],"most":[7],"widely":[8],"used":[9],"vehicle":[10],"driver":[11],"assistance":[12],"systems.":[13],"However,":[14],"uncertainty":[15],"about":[16],"drivers'":[17],"lane":[18,90],"change":[19,91],"maneuvers":[20],"in":[21],"surrounding":[22],"vehicles,":[23],"such":[24],"as":[25,123,125],"unexpected":[26],"cut-in,":[27],"remains":[28],"a":[29,33,47,65,71],"challenge.":[30],"We":[31,50],"propose":[32],"novel":[34],"adaptive":[35],"framework":[38],"combining":[39],"convolution":[40],"neural":[41],"network":[42],"(CNN)-based":[43],"lane-change-intention":[44],"inference":[45,73,86,117],"and":[46,79,98,128],"predictive":[48,103],"controller.":[49],"transform":[51],"real-world":[52],"driving":[53,109],"data,":[54],"collected":[55],"on":[56,108],"public":[57],"roads":[58],"with":[59,75,101],"only":[60],"standard":[61],"production":[62],"sensors,":[63],"to":[64,81,95],"simplified":[66],"bird's-eye":[67],"view.":[68],"This":[69],"enables":[70],"CNN-based":[72,121],"approach":[74],"low":[76],"computational":[77],"cost":[78],"robustness":[80],"noisy":[82],"input.":[83],"The":[84],"predicted":[85],"traffic":[88],"participants'":[89],"intention":[92],"utilized":[94],"improve":[96],"safety":[97,127],"ride":[99,129],"comfort":[100],"model":[102],"control.":[104],"Simulation":[105],"results":[106],"based":[107],"scene":[110],"reconstruction":[111],"demonstrate":[112],"superior":[114],"performance":[115],"using":[118],"proposed":[120],"approach,":[122],"well":[124],"enhanced":[126],"comfort.":[130]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":23},{"year":2021,"cited_by_count":36},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}
