{"id":"https://openalex.org/W4312195710","doi":"https://doi.org/10.3390/s22249943","title":"Driver Intent-Based Intersection Autonomous Driving Collision Avoidance Reinforcement Learning Algorithm","display_name":"Driver Intent-Based Intersection Autonomous Driving Collision Avoidance Reinforcement Learning Algorithm","publication_year":2022,"publication_date":"2022-12-16","ids":{"openalex":"https://openalex.org/W4312195710","doi":"https://doi.org/10.3390/s22249943","pmid":"https://pubmed.ncbi.nlm.nih.gov/36560308"},"language":"en","primary_location":{"id":"doi:10.3390/s22249943","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22249943","pdf_url":"https://www.mdpi.com/1424-8220/22/24/9943/pdf?version=1671194317","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/24/9943/pdf?version=1671194317","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017578300","display_name":"Ting Chen","orcid":"https://orcid.org/0000-0002-8134-6913"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Chen","raw_affiliation_strings":["School of Information Engineering, Chang\u2019an University, Xi\u2019an 710064, China","School of Information Engineering, Chang'an University, Xi'an 710064, China"],"raw_orcid":"https://orcid.org/0000-0002-8134-6913","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Chang\u2019an University, Xi\u2019an 710064, China","institution_ids":["https://openalex.org/I25355098"]},{"raw_affiliation_string":"School of Information Engineering, Chang'an University, Xi'an 710064, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025555715","display_name":"Youjing Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youjing Chen","raw_affiliation_strings":["School of Information Engineering, Chang\u2019an University, Xi\u2019an 710064, China","School of Information Engineering, Chang'an University, Xi'an 710064, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Chang\u2019an University, Xi\u2019an 710064, China","institution_ids":["https://openalex.org/I25355098"]},{"raw_affiliation_string":"School of Information Engineering, Chang'an University, Xi'an 710064, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100348523","display_name":"Hao Li","orcid":"https://orcid.org/0000-0001-9320-0105"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Li","raw_affiliation_strings":["Key Laboratory of Road and Traffic Engineering of the Ministry of Education, College of Transportation Engineering, Tongji University, Shanghai 201804, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Road and Traffic Engineering of the Ministry of Education, College of Transportation Engineering, Tongji University, Shanghai 201804, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100738072","display_name":"Tao Gao","orcid":"https://orcid.org/0000-0003-0325-7912"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tao Gao","raw_affiliation_strings":["School of Information Engineering, Chang\u2019an University, Xi\u2019an 710064, China","School of Information Engineering, Chang'an University, Xi'an 710064, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Chang\u2019an University, Xi\u2019an 710064, China","institution_ids":["https://openalex.org/I25355098"]},{"raw_affiliation_string":"School of Information Engineering, Chang'an University, Xi'an 710064, China","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030015882","display_name":"Huizhao Tu","orcid":"https://orcid.org/0000-0001-6042-2828"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huizhao Tu","raw_affiliation_strings":["Key Laboratory of Road and Traffic Engineering of the Ministry of Education, College of Transportation Engineering, Tongji University, Shanghai 201804, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Road and Traffic Engineering of the Ministry of Education, College of Transportation Engineering, Tongji University, Shanghai 201804, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100436442","display_name":"Siyu Li","orcid":"https://orcid.org/0009-0007-2961-8655"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyu Li","raw_affiliation_strings":["School of Information Engineering, Chang\u2019an University, Xi\u2019an 710064, China","School of Information Engineering, Chang'an University, Xi'an 710064, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Chang\u2019an University, Xi\u2019an 710064, China","institution_ids":["https://openalex.org/I25355098"]},{"raw_affiliation_string":"School of Information Engineering, Chang'an University, Xi'an 710064, China","institution_ids":["https://openalex.org/I25355098"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100738072"],"corresponding_institution_ids":["https://openalex.org/I25355098"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.3135,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.54941244,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"22","issue":"24","first_page":"9943","last_page":"9943"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9997000098228455,"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":0.9997000098228455,"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/T10370","display_name":"Traffic and Road Safety","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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":0.9908999800682068,"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":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7182519435882568},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7063710689544678},{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision avoidance","score":0.5905227661132812},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.5817145705223083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5445329546928406},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5248156785964966},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.45962846279144287},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4565713703632355},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4520350992679596},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.44649967551231384},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38560330867767334},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.377581924200058},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3433466851711273},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.32359904050827026},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1608828902244568},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11628919839859009}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7182519435882568},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7063710689544678},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.5905227661132812},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.5817145705223083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5445329546928406},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5248156785964966},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45962846279144287},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4565713703632355},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4520350992679596},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.44649967551231384},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38560330867767334},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.377581924200058},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3433466851711273},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.32359904050827026},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1608828902244568},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11628919839859009},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000063","descriptor_name":"Accidents, Traffic","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":false},{"descriptor_ui":"D000063","descriptor_name":"Accidents, Traffic","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":false},{"descriptor_ui":"D000063","descriptor_name":"Accidents, Traffic","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001334","descriptor_name":"Automobile Driving","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001334","descriptor_name":"Automobile Driving","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001334","descriptor_name":"Automobile Driving","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D033182","descriptor_name":"Intention","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D033182","descriptor_name":"Intention","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D033182","descriptor_name":"Intention","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22249943","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22249943","pdf_url":"https://www.mdpi.com/1424-8220/22/24/9943/pdf?version=1671194317","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:36560308","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36560308","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:a5338b87f11c406cb0ef9e143e8a76a2","is_oa":true,"landing_page_url":"https://doaj.org/article/a5338b87f11c406cb0ef9e143e8a76a2","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 24, p 9943 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/24/9943/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22249943","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 24; Pages: 9943","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9788537","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9788537","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22249943","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22249943","pdf_url":"https://www.mdpi.com/1424-8220/22/24/9943/pdf?version=1671194317","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6399999856948853}],"awards":[{"id":"https://openalex.org/G164662072","display_name":null,"funder_award_id":"300102241201","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G1723379777","display_name":null,"funder_award_id":"2019-03418","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G1990737959","display_name":null,"funder_award_id":"62001058","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4115157426","display_name":null,"funder_award_id":"62001058","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4736897068","display_name":null,"funder_award_id":"52172379","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4978508039","display_name":null,"funder_award_id":"300102242901","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5418843175","display_name":null,"funder_award_id":"300102242901","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6820885690","display_name":null,"funder_award_id":"300102241201","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7635329979","display_name":null,"funder_award_id":"2019YFE0108300","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8023445152","display_name":null,"funder_award_id":"52172379","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8353024542","display_name":null,"funder_award_id":"300102242806","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G997547991","display_name":null,"funder_award_id":"300102242806","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4312195710.pdf","grobid_xml":"https://content.openalex.org/works/W4312195710.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W219040644","https://openalex.org/W1605929701","https://openalex.org/W1965555277","https://openalex.org/W2152374007","https://openalex.org/W2173681125","https://openalex.org/W2188365844","https://openalex.org/W2194775991","https://openalex.org/W2344396459","https://openalex.org/W2487442924","https://openalex.org/W2594201198","https://openalex.org/W2739770424","https://openalex.org/W2800727637","https://openalex.org/W2963223306","https://openalex.org/W2963915700","https://openalex.org/W2964147651","https://openalex.org/W2977191322","https://openalex.org/W2991197804","https://openalex.org/W3104790740","https://openalex.org/W3112335585","https://openalex.org/W3115517346","https://openalex.org/W3116651890","https://openalex.org/W3154345605","https://openalex.org/W3200438282","https://openalex.org/W3205373118","https://openalex.org/W3205400264","https://openalex.org/W6685356407","https://openalex.org/W6781247893"],"related_works":["https://openalex.org/W4293202849","https://openalex.org/W1980965563","https://openalex.org/W1819938260","https://openalex.org/W2340892746","https://openalex.org/W4391307509","https://openalex.org/W3163022373","https://openalex.org/W626552678","https://openalex.org/W2742483371","https://openalex.org/W607781325","https://openalex.org/W3005999311"],"abstract_inverted_index":{"With":[0],"the":[1,8,37,46,53,87,94,103,109,116,120,125,132,136,183,194,204,208,219],"rapid":[2],"development":[3],"of":[4,25,30,48,96,124,135,154,161,176,197,207,221],"artificial":[5],"intelligent":[6],"technology,":[7],"deep":[9,69],"learning":[10,72],"method":[11,62,185,200],"is":[12,28,73],"widely":[13],"applied":[14],"to":[15,21,44,82,92,114,130,146],"predict":[16],"human":[17],"driving":[18,40],"intentions":[19],"due":[20],"its":[22],"relative":[23],"accuracy":[24],"prediction,":[26],"which":[27,217],"one":[29],"critical":[31],"links":[32],"for":[33,63],"security":[34],"guarantee":[35],"in":[36,105,119,212],"distributed,":[38],"mixed":[39],"scenario.":[41],"In":[42],"order":[43],"sense":[45],"intention":[47,60],"human-driven":[49],"vehicles":[50,65,156],"and":[51,99,168,179,187],"reduce":[52],"self-driving":[54,155],"collision":[55],"avoidance":[56],"rate,":[57],"an":[58],"improved":[59,172],"prediction":[61,195,215],"human-driving":[64],"based":[66],"on":[67,144],"unsupervised,":[68],"inverse":[70],"reinforcement":[71],"proposed.":[74],"Firstly,":[75],"a":[76,174,213],"contrast":[77],"discriminator":[78],"module":[79,89],"was":[80,90,112],"proposed":[81,149,199,223],"extract":[83],"richer":[84],"features.":[85],"Then,":[86],"residual":[88],"created":[91],"overcome":[93],"drawbacks":[95],"gradient":[97],"disappearance":[98],"network":[100,106,137],"degradation":[101],"with":[102,157,182,203],"increase":[104],"layers.":[107],"Furthermore,":[108],"dropout":[110],"layer":[111],"generated":[113],"prevent":[115],"over-fitting":[117],"phenomenon":[118],"whole":[121],"training":[122],"process":[123],"GRU":[126],"network,":[127],"so":[128],"as":[129],"improve":[131],"generalization":[133],"ability":[134],"model.":[138],"Finally,":[139],"abundant":[140],"experiments":[141],"were":[142],"conducted":[143],"datasets":[145],"evaluate":[147],"our":[148,198,222],"method.":[150,224],"The":[151],"pass":[152],"rate":[153],"conservative":[158],"driver":[159],"probabilities":[160],"p":[162,165,169],"=":[163,166,170],"0.25,":[164],"0.4,":[167],"0.6":[171],"by":[173],"maximum":[175],"8%,":[177],"10%,":[178],"3%,":[180],"compared":[181],"classical":[184],"LSTM":[186],"VAE":[188],"+":[189],"RNN.":[190],"It":[191],"indicates":[192],"that":[193],"results":[196],"fit":[201],"more":[202],"basic":[205],"structure":[206],"given":[209],"traffic":[210],"scenario":[211],"long-term":[214],"range,":[216],"verifies":[218],"effectiveness":[220]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}