乐胖代购免代理版

{"id":"https://openalex.org/W2916513866","doi":"https://doi.org/10.1109/cyberc.2018.00038","title":"Research on Vehicle Taillight Detection and Semantic Recognition Based on Internet of Vehicle","display_name":"Research on Vehicle Taillight Detection and Semantic Recognition Based on Internet of Vehicle","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2916513866","doi":"https://doi.org/10.1109/cyberc.2018.00038","mag":"2916513866"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/cyberc.2018.00038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109572692","display_name":"Zhenzhou Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I34155123","display_name":"Hebei University of Science and Technology","ror":"https://ror.org/05h3pkk68","country_code":"CN","type":"education","lineage":["https://openalex.org/I34155123"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenzhou Wang","raw_affiliation_strings":["School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, China","institution_ids":["https://openalex.org/I34155123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101744670","display_name":"Wei Huo","orcid":"https://orcid.org/0000-0002-0096-6898"},"institutions":[{"id":"https://openalex.org/I34155123","display_name":"Hebei University of Science and Technology","ror":"https://ror.org/05h3pkk68","country_code":"CN","type":"education","lineage":["https://openalex.org/I34155123"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Huo","raw_affiliation_strings":["School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, China","institution_ids":["https://openalex.org/I34155123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101543754","display_name":"Pingping Yu","orcid":"https://orcid.org/0000-0002-0988-635X"},"institutions":[{"id":"https://openalex.org/I34155123","display_name":"Hebei University of Science and Technology","ror":"https://ror.org/05h3pkk68","country_code":"CN","type":"education","lineage":["https://openalex.org/I34155123"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pingping Yu","raw_affiliation_strings":["School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, China","institution_ids":["https://openalex.org/I34155123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101410859","display_name":"Lin Qi","orcid":"https://orcid.org/0000-0001-6991-4669"},"institutions":[{"id":"https://openalex.org/I34155123","display_name":"Hebei University of Science and Technology","ror":"https://ror.org/05h3pkk68","country_code":"CN","type":"education","lineage":["https://openalex.org/I34155123"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Qi","raw_affiliation_strings":["School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, China","institution_ids":["https://openalex.org/I34155123"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057973707","display_name":"Ning Cao","orcid":"https://orcid.org/0000-0001-6430-3586"},"institutions":[{"id":"https://openalex.org/I100930933","display_name":"University College Dublin","ror":"https://ror.org/05m7pjf47","country_code":"IE","type":"education","lineage":["https://openalex.org/I100930933"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Ning Cao","raw_affiliation_strings":["School of Computer Science, University College Dublin, Belfield, Ireland"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University College Dublin, Belfield, Ireland","institution_ids":["https://openalex.org/I100930933"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.39,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":5,"citation_normalized_percentile":{"value":0.649144,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":79,"max":80},"biblio":{"volume":null,"issue":null,"first_page":"147","last_page":"1473"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9986,"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":0.9986,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9884,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9858,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/basis","display_name":"Basis (linear algebra)","score":0.4743425},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42027706}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.73477197},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5960146},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.5514072},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.538504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5354804},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.50512797},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.4953498},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.4743425},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.44368586},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42470977},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42027706},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17222649},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1376754},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/cyberc.2018.00038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, justice, and strong institutions","score":0.42}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":7,"referenced_works":["https://openalex.org/W1674505557","https://openalex.org/W1983473365","https://openalex.org/W2385823475","https://openalex.org/W2592802329","https://openalex.org/W2613718673","https://openalex.org/W2699159235","https://openalex.org/W639708223"],"related_works":["https://openalex.org/W645600747","https://openalex.org/W4382644535","https://openalex.org/W2765894405","https://openalex.org/W2560421750","https://openalex.org/W2522768275","https://openalex.org/W2373392303","https://openalex.org/W2372668238","https://openalex.org/W2352938035","https://openalex.org/W2351672553","https://openalex.org/W1884735063"],"abstract_inverted_index":{"Internet":[0,15],"of":[1,16,23,44,53,72,100,124,135,150,162],"Things(IOT)":[2],"technology":[3,7],"provides":[4],"sufficient":[5],"information":[6,73],"and":[8,29,49,57,64,85,91,103,114,131,157],"necessary":[9],"decision-making":[10],"basis":[11],"for":[12],"intelligent":[13],"transportation.":[14],"vehicles(IOV)":[17],"is":[18],"based":[19,59],"on":[20,35,60],"the":[21,24,36,41,70,76,80,98,106,121,133,142,147,151,155,160],"architecture":[22],"perception":[25,42,74],"layer,":[26,28],"network":[27,90],"application":[30],"layer.":[31],"This":[32],"article":[33],"focuses":[34],"tail":[37],"light":[38,167],"status":[39],"in":[40,128,154],"layer":[43],"automotive":[45],"active":[46,61,92],"safety":[47],"systems":[48],"proposes":[50],"a":[51],"method":[52,143],"vehicle":[54,153],"taillamp":[55,101,108,125,148],"detection":[56],"recognition":[58,134],"contour":[62,93],"extraction":[63],"color":[65,111],"feature":[66],"analysis":[67],"to":[68],"solve":[69],"problem":[71],"against":[75],"front":[77,81,152],"vehicle.":[78],"First,":[79],"vehicles":[82],"are":[83,126],"detected":[84],"extracted":[86],"by":[87,110,166],"convolutional":[88],"neural":[89],"models.":[94],"Second,":[95],"it":[96],"analyzes":[97],"characteristics":[99],"pair":[102,109],"then":[104],"segment":[105],"correct":[107],"space":[112],"conversion":[113],"location":[115],"correlation":[116],"principle.":[117],"On":[118],"this":[119],"basis,":[120],"histograms":[122],"distribution":[123],"analyzed":[127],"different":[129],"states":[130],"complete":[132],"taillamp.":[136],"The":[137],"experimental":[138],"results":[139],"show":[140],"that":[141],"can":[144],"accurately":[145],"identify":[146],"signal":[149],"daytime":[156],"effectively":[158],"reduce":[159],"rate":[161],"false":[163],"judgement":[164],"caused":[165],"interference.":[168]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2916513866","counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-01-18T18:10:31.210138","created_date":"2019-03-02"}