{"id":"https://openalex.org/W4306964812","doi":"https://doi.org/10.3390/s22208027","title":"A Deep Learning Framework for Accurate Vehicle Yaw Angle Estimation from a Monocular Camera Based on Part Arrangement","display_name":"A Deep Learning Framework for Accurate Vehicle Yaw Angle Estimation from a Monocular Camera Based on Part Arrangement","publication_year":2022,"publication_date":"2022-10-20","ids":{"openalex":"https://openalex.org/W4306964812","doi":"https://doi.org/10.3390/s22208027","pmid":"https://pubmed.ncbi.nlm.nih.gov/36298375"},"language":"en","primary_location":{"id":"doi:10.3390/s22208027","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22208027","pdf_url":"https://www.mdpi.com/1424-8220/22/20/8027/pdf?version=1666698830","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/1424-8220/22/20/8027/pdf?version=1666698830","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101646249","display_name":"Wenjun Huang","orcid":"https://orcid.org/0000-0003-4520-4827"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]},{"id":"https://openalex.org/I4210089285","display_name":"Ji Hua Laboratory","ror":"https://ror.org/006aydy55","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210089285"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjun Huang","raw_affiliation_strings":["Foshan Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory, Xianhu Hydrogen Valley, Foshan 528200, China","Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan University of Technology, Wuhan 430070, China","Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430070, China","Hubei Research Center for New Energy and Intelligent Connected Vehicle, Wuhan 430070, China"],"raw_orcid":"https://orcid.org/0000-0003-4520-4827","affiliations":[{"raw_affiliation_string":"Foshan Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory, Xianhu Hydrogen Valley, Foshan 528200, China","institution_ids":["https://openalex.org/I4210089285"]},{"raw_affiliation_string":"Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan University of Technology, Wuhan 430070, China","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430070, China","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"Hubei Research Center for New Energy and Intelligent Connected Vehicle, Wuhan 430070, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100336597","display_name":"Wenbo Li","orcid":"https://orcid.org/0000-0003-2123-5151"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]},{"id":"https://openalex.org/I4210089285","display_name":"Ji Hua Laboratory","ror":"https://ror.org/006aydy55","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210089285"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbo Li","raw_affiliation_strings":["Foshan Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory, Xianhu Hydrogen Valley, Foshan 528200, China","Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan University of Technology, Wuhan 430070, China","Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430070, China","Hubei Research Center for New Energy and Intelligent Connected Vehicle, Wuhan 430070, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Foshan Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory, Xianhu Hydrogen Valley, Foshan 528200, China","institution_ids":["https://openalex.org/I4210089285"]},{"raw_affiliation_string":"Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan University of Technology, Wuhan 430070, China","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430070, China","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"Hubei Research Center for New Energy and Intelligent Connected Vehicle, Wuhan 430070, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066826601","display_name":"Luqi Tang","orcid":"https://orcid.org/0000-0001-7116-8108"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]},{"id":"https://openalex.org/I4210089285","display_name":"Ji Hua Laboratory","ror":"https://ror.org/006aydy55","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210089285"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luqi Tang","raw_affiliation_strings":["Foshan Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory, Xianhu Hydrogen Valley, Foshan 528200, China","Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan University of Technology, Wuhan 430070, China","Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430070, China","Hubei Research Center for New Energy and Intelligent Connected Vehicle, Wuhan 430070, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Foshan Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory, Xianhu Hydrogen Valley, Foshan 528200, China","institution_ids":["https://openalex.org/I4210089285"]},{"raw_affiliation_string":"Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan University of Technology, Wuhan 430070, China","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430070, China","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"Hubei Research Center for New Energy and Intelligent Connected Vehicle, Wuhan 430070, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100462580","display_name":"Xiaoming Zhu","orcid":"https://orcid.org/0000-0002-0764-3960"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]},{"id":"https://openalex.org/I4210089285","display_name":"Ji Hua Laboratory","ror":"https://ror.org/006aydy55","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210089285"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoming Zhu","raw_affiliation_strings":["Foshan Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory, Xianhu Hydrogen Valley, Foshan 528200, China","Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan University of Technology, Wuhan 430070, China","Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430070, China","Hubei Research Center for New Energy and Intelligent Connected Vehicle, Wuhan 430070, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Foshan Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory, Xianhu Hydrogen Valley, Foshan 528200, China","institution_ids":["https://openalex.org/I4210089285"]},{"raw_affiliation_string":"Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan University of Technology, Wuhan 430070, China","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430070, China","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"Hubei Research Center for New Energy and Intelligent Connected Vehicle, Wuhan 430070, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101698135","display_name":"Bin Zou","orcid":"https://orcid.org/0000-0002-0064-7424"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]},{"id":"https://openalex.org/I4210089285","display_name":"Ji Hua Laboratory","ror":"https://ror.org/006aydy55","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210089285"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bin Zou","raw_affiliation_strings":["Foshan Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory, Xianhu Hydrogen Valley, Foshan 528200, China","Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan University of Technology, Wuhan 430070, China","Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430070, China","Hubei Research Center for New Energy and Intelligent Connected Vehicle, Wuhan 430070, China"],"raw_orcid":"https://orcid.org/0000-0002-0064-7424","affiliations":[{"raw_affiliation_string":"Foshan Xianhu Laboratory of the Advanced Energy Science and Technology Guangdong Laboratory, Xianhu Hydrogen Valley, Foshan 528200, China","institution_ids":["https://openalex.org/I4210089285"]},{"raw_affiliation_string":"Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan University of Technology, Wuhan 430070, China","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430070, China","institution_ids":["https://openalex.org/I196699116"]},{"raw_affiliation_string":"Hubei Research Center for New Energy and Intelligent Connected Vehicle, Wuhan 430070, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101698135"],"corresponding_institution_ids":["https://openalex.org/I196699116","https://openalex.org/I4210089285"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.8625,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.71251529,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"22","issue":"20","first_page":"8027","last_page":"8027"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9972000122070312,"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":0.9972000122070312,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.996399998664856,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9958000183105469,"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-vision","display_name":"Computer vision","score":0.7229040861129761},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7226271629333496},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7012922763824463},{"id":"https://openalex.org/keywords/euler-angles","display_name":"Euler angles","score":0.680046021938324},{"id":"https://openalex.org/keywords/yaw","display_name":"Yaw","score":0.6550388932228088},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.576423704624176},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5249108076095581},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5114384889602661},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5033380389213562},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.43762776255607605},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1628967821598053},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1252124011516571},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08924028277397156}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7229040861129761},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7226271629333496},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7012922763824463},{"id":"https://openalex.org/C146160929","wikidata":"https://www.wikidata.org/wiki/Q751290","display_name":"Euler angles","level":2,"score":0.680046021938324},{"id":"https://openalex.org/C206831581","wikidata":"https://www.wikidata.org/wiki/Q9288712","display_name":"Yaw","level":2,"score":0.6550388932228088},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.576423704624176},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5249108076095581},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5114384889602661},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5033380389213562},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.43762776255607605},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1628967821598053},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1252124011516571},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08924028277397156},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","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":"D001334","descriptor_name":"Automobile Driving","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003625","descriptor_name":"Data Collection","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003625","descriptor_name":"Data Collection","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003625","descriptor_name":"Data Collection","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22208027","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22208027","pdf_url":"https://www.mdpi.com/1424-8220/22/20/8027/pdf?version=1666698830","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:36298375","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36298375","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:31341c78827f49d0b711b7745e2e49b1","is_oa":true,"landing_page_url":"https://doaj.org/article/31341c78827f49d0b711b7745e2e49b1","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 20, p 8027 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/20/8027/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22208027","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 20; Pages: 8027","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9607309","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9607309","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/s22208027","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22208027","pdf_url":"https://www.mdpi.com/1424-8220/22/20/8027/pdf?version=1666698830","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":[{"score":0.8199999928474426,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G1139207190","display_name":null,"funder_award_id":"B17034","funder_id":"https://openalex.org/F4320321106","funder_display_name":"Ministry of Education of the People's Republic of China"},{"id":"https://openalex.org/G3698331860","display_name":null,"funder_award_id":"XHD2020-003","funder_id":"https://openalex.org/F7804342559","funder_display_name":"Foshan Xianhu Laboratory of Advanced Energy Science and Technology Guangdong Laboratory"},{"id":"https://openalex.org/G5246889802","display_name":null,"funder_award_id":"IRT_17R83","funder_id":"https://openalex.org/F4320321106","funder_display_name":"Ministry of Education of the People's Republic of China"},{"id":"https://openalex.org/G5943063571","display_name":null,"funder_award_id":"B17034","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"},{"id":"https://openalex.org/G7612288357","display_name":null,"funder_award_id":"111 Project","funder_id":"https://openalex.org/F4320321106","funder_display_name":"Ministry of Education of the People's Republic of China"},{"id":"https://openalex.org/G884403994","display_name":null,"funder_award_id":"IRT_17R83","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"}],"funders":[{"id":"https://openalex.org/F4320321106","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934"},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null},{"id":"https://openalex.org/F7804342559","display_name":"Foshan Xianhu Laboratory of Advanced Energy Science and Technology Guangdong Laboratory","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4306964812.pdf","grobid_xml":"https://content.openalex.org/works/W4306964812.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W132147841","https://openalex.org/W639708223","https://openalex.org/W1519402791","https://openalex.org/W1677409904","https://openalex.org/W1991264156","https://openalex.org/W1991544872","https://openalex.org/W1996735906","https://openalex.org/W2020149918","https://openalex.org/W2037227137","https://openalex.org/W2101199297","https://openalex.org/W2115579991","https://openalex.org/W2150066425","https://openalex.org/W2183341477","https://openalex.org/W2193145675","https://openalex.org/W2262304729","https://openalex.org/W2395611524","https://openalex.org/W2520707372","https://openalex.org/W2524986418","https://openalex.org/W2560934276","https://openalex.org/W2604236302","https://openalex.org/W2775435206","https://openalex.org/W2784322884","https://openalex.org/W2789938689","https://openalex.org/W2806070179","https://openalex.org/W2891330063","https://openalex.org/W2892614179","https://openalex.org/W2948080642","https://openalex.org/W2953303875","https://openalex.org/W2955787963","https://openalex.org/W2956121407","https://openalex.org/W2963188159","https://openalex.org/W2963217716","https://openalex.org/W2963488291","https://openalex.org/W2963756608","https://openalex.org/W2964249569","https://openalex.org/W2964350391","https://openalex.org/W2972815165","https://openalex.org/W2981117175","https://openalex.org/W2984013788","https://openalex.org/W2989915422","https://openalex.org/W3004356397","https://openalex.org/W3005718951","https://openalex.org/W3025966514","https://openalex.org/W3096175651","https://openalex.org/W3106250896","https://openalex.org/W3131309013","https://openalex.org/W3163527364","https://openalex.org/W3166089996","https://openalex.org/W3193939309","https://openalex.org/W4200291178","https://openalex.org/W6727528828","https://openalex.org/W6803003410"],"related_works":["https://openalex.org/W4388953196","https://openalex.org/W1950940422","https://openalex.org/W4283822356","https://openalex.org/W2129146436","https://openalex.org/W2032507829","https://openalex.org/W2147282173","https://openalex.org/W3144671390","https://openalex.org/W609366245","https://openalex.org/W2513886483","https://openalex.org/W4206599012"],"abstract_inverted_index":{"An":[0],"accurate":[1,97,218],"object":[2,21,70,77,98],"pose":[3,37],"is":[4,127,137,154,163],"essential":[5],"to":[6],"assess":[7],"its":[8,12],"state":[9],"and":[10,86,133,172,196,263],"predict":[11],"movements.":[13],"In":[14,79],"recent":[15],"years,":[16],"scholars":[17],"have":[18],"often":[19],"predicted":[20],"poses":[22],"by":[23,33,129,144,156],"matching":[24],"an":[25,114,217,255,264],"image":[26],"with":[27,225,229,254],"a":[28,55,84,103,175,181],"virtual":[29],"3D":[30],"model":[31,167],"or":[32],"regressing":[34],"the":[35,39,43,61,76,108,130,134,145,157,159,165,187,206,210],"six-degree-of-freedom":[36],"of":[38,64,110,178,189,199,204,212,259,266,271],"target":[40],"directly":[41],"from":[42,102,139],"pixel":[44],"data":[45],"via":[46],"deep":[47,88],"learning":[48,89],"methods.":[49],"However,":[50],"these":[51],"approaches":[52],"may":[53],"ignore":[54],"fact":[56],"that":[57,69,236],"was":[58],"proposed":[59],"in":[60,75,244,246,275],"early":[62],"days":[63],"computer":[65],"vision":[66],"research,":[67],"i.e.,":[68],"parts":[71],"are":[72],"strongly":[73],"represented":[74],"pose.":[78],"this":[80,213],"study,":[81],"we":[82,192,215],"propose":[83],"novel":[85],"lightweight":[87],"framework,":[90],"YAEN":[91,112,166],"(yaw":[92],"angle":[93,100,120,136,147,220],"estimation":[94],"network),":[95],"for":[96,117,268],"yaw":[99,119,135,146,219],"prediction":[101,242,257,269],"monocular":[104],"camera":[105],"based":[106],"on":[107,180],"arrangement":[109,125,142],"parts.":[111],"uses":[113],"encoding\u2212decoding":[115],"structure":[116,162],"vehicle":[118,123,140,151],"prediction.":[121],"The":[122],"part":[124,141,152],"information":[126,143,153],"extracted":[128,138],"part-encoding":[131],"network,":[132],"decoding":[148,160],"network.":[149],"Because":[150],"refined":[155],"encoder,":[158],"network":[161],"lightweight;":[164],"has":[168],"low":[169],"hardware":[170],"requirements":[171],"can":[173,239],"reach":[174],"detection":[176],"speed":[177],"97FPS":[179],"2070s":[182],"graphics":[183],"cards.":[184],"To":[185,208],"improve":[186],"performance":[188,243],"our":[190,237],"model,":[191,214],"used":[193],"asymmetric":[194],"convolution":[195],"SSE":[197],"(sum":[198],"squared":[200],"errors)":[201],"loss":[202],"functions":[203],"adding":[205],"sign.":[207],"verify":[209],"effectiveness":[211],"constructed":[216],"dataset":[221],"under":[222],"real-world":[223],"conditions":[224],"two":[226],"vehicles":[227,248],"equipped":[228],"high-precision":[230],"positioning":[231],"devices.":[232],"Experimental":[233],"results":[234],"prove":[235],"method":[238],"achieve":[240],"satisfactory":[241],"scenarios":[245],"which":[247],"do":[249],"not":[250],"obscure":[251],"each":[252],"other,":[253],"average":[256],"error":[258],"less":[260,272],"than":[261,273],"3.1\u00b0":[262],"accuracy":[265],"96.45%":[267],"errors":[270],"10\u00b0":[274],"real":[276],"driving":[277],"scenarios.":[278]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-22T08:00:12.763002","created_date":"2025-10-10T00:00:00"}
