{"id":"https://openalex.org/W4400296909","doi":"https://doi.org/10.32604/cmc.2024.052667","title":"A Hybrid Feature Fusion Traffic Sign Detection Algorithm Based on YOLOv7","display_name":"A Hybrid Feature Fusion Traffic Sign Detection Algorithm Based on YOLOv7","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4400296909","doi":"https://doi.org/10.32604/cmc.2024.052667"},"language":"en","primary_location":{"id":"doi:10.32604/cmc.2024.052667","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2024.052667","pdf_url":"https://file.techscience.com/files/cmc/2024/TSP_CMC-80-1/TSP_CMC_52667/TSP_CMC_52667.pdf","source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials & Continua","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://file.techscience.com/files/cmc/2024/TSP_CMC-80-1/TSP_CMC_52667/TSP_CMC_52667.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101872331","display_name":"Bingyi Ren","orcid":"https://orcid.org/0009-0009-1234-3194"},"institutions":[{"id":"https://openalex.org/I167383011","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58","country_code":"CN","type":"education","lineage":["https://openalex.org/I167383011"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingyi Ren","raw_affiliation_strings":["School of Mechanical Engineering, Henan University of Science and Technology, Luoyang, 471000, China","Henan Province New Energy Vehicle Power Electronics and Power Transmission Engineering Research Center, Luoyang, 471000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Henan University of Science and Technology, Luoyang, 471000, China","institution_ids":["https://openalex.org/I167383011"]},{"raw_affiliation_string":"Henan Province New Energy Vehicle Power Electronics and Power Transmission Engineering Research Center, Luoyang, 471000, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060632261","display_name":"Juwei Zhang","orcid":"https://orcid.org/0000-0001-6603-1932"},"institutions":[{"id":"https://openalex.org/I167383011","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58","country_code":"CN","type":"education","lineage":["https://openalex.org/I167383011"]},{"id":"https://openalex.org/I192868223","display_name":"Zhengzhou University of Aeronautics","ror":"https://ror.org/01qjyzh50","country_code":"CN","type":"education","lineage":["https://openalex.org/I192868223"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Juwei Zhang","raw_affiliation_strings":["School of Electronic Information, Zhengzhou Institute of Aeronautical Industry Management, Zhengzhou, 450046, China","School of Information Engineering, Henan University of Science and Technology, Luoyang, 471000, China","Henan Province New Energy Vehicle Power Electronics and Power Transmission Engineering Research Center, Luoyang, 471000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic Information, Zhengzhou Institute of Aeronautical Industry Management, Zhengzhou, 450046, China","institution_ids":["https://openalex.org/I192868223"]},{"raw_affiliation_string":"School of Information Engineering, Henan University of Science and Technology, Luoyang, 471000, China","institution_ids":["https://openalex.org/I167383011"]},{"raw_affiliation_string":"Henan Province New Energy Vehicle Power Electronics and Power Transmission Engineering Research Center, Luoyang, 471000, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100451016","display_name":"Tong Wang","orcid":"https://orcid.org/0000-0002-9403-7167"},"institutions":[{"id":"https://openalex.org/I167383011","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58","country_code":"CN","type":"education","lineage":["https://openalex.org/I167383011"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Wang","raw_affiliation_strings":["School of Information Engineering, Henan University of Science and Technology, Luoyang, 471000, China","Henan Province New Energy Vehicle Power Electronics and Power Transmission Engineering Research Center, Luoyang, 471000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Henan University of Science and Technology, Luoyang, 471000, China","institution_ids":["https://openalex.org/I167383011"]},{"raw_affiliation_string":"Henan Province New Energy Vehicle Power Electronics and Power Transmission Engineering Research Center, Luoyang, 471000, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5060632261"],"corresponding_institution_ids":["https://openalex.org/I167383011","https://openalex.org/I192868223"],"apc_list":null,"apc_paid":null,"fwci":0.6131,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.66575028,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"80","issue":"1","first_page":"1425","last_page":"1440"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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":0.9854000210762024,"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":0.6981148719787598},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.6304140686988831},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5979653596878052},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5704963207244873},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.5362173318862915},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.49245771765708923},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4409591555595398},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.417469322681427},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41309839487075806},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4043271243572235},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3351372480392456},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14233079552650452},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13223013281822205}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6981148719787598},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.6304140686988831},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5979653596878052},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5704963207244873},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.5362173318862915},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.49245771765708923},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4409591555595398},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.417469322681427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41309839487075806},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4043271243572235},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3351372480392456},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14233079552650452},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13223013281822205},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C548081761","wikidata":"https://www.wikidata.org/wiki/Q180388","display_name":"Waste management","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32604/cmc.2024.052667","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2024.052667","pdf_url":"https://file.techscience.com/files/cmc/2024/TSP_CMC-80-1/TSP_CMC_52667/TSP_CMC_52667.pdf","source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials & Continua","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.32604/cmc.2024.052667","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2024.052667","pdf_url":"https://file.techscience.com/files/cmc/2024/TSP_CMC-80-1/TSP_CMC_52667/TSP_CMC_52667.pdf","source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials & Continua","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4400296909.pdf"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2102605133","https://openalex.org/W2479866714","https://openalex.org/W2504335775","https://openalex.org/W2962766617","https://openalex.org/W2963037989","https://openalex.org/W2997747012","https://openalex.org/W3094502228","https://openalex.org/W3106250896","https://openalex.org/W3122173535","https://openalex.org/W3146366485","https://openalex.org/W3208154594","https://openalex.org/W3214133616","https://openalex.org/W4205306821","https://openalex.org/W4310428497","https://openalex.org/W4312183515","https://openalex.org/W4318255578","https://openalex.org/W4366400469","https://openalex.org/W4379468926","https://openalex.org/W4379648956","https://openalex.org/W4384652394","https://openalex.org/W4385245566","https://openalex.org/W4385248064","https://openalex.org/W4385805808","https://openalex.org/W4386075524","https://openalex.org/W4387385605","https://openalex.org/W4389889473","https://openalex.org/W4390187137","https://openalex.org/W4391562142","https://openalex.org/W4391848450","https://openalex.org/W6620707391","https://openalex.org/W6628973269","https://openalex.org/W6675026286","https://openalex.org/W6721476862","https://openalex.org/W6764024669","https://openalex.org/W6770715449","https://openalex.org/W6785652829","https://openalex.org/W6846652169","https://openalex.org/W6849520326","https://openalex.org/W6851020903","https://openalex.org/W6851531119","https://openalex.org/W6853459642","https://openalex.org/W6861048008","https://openalex.org/W6861135943","https://openalex.org/W6948074861"],"related_works":["https://openalex.org/W2384475851","https://openalex.org/W2000444236","https://openalex.org/W2353602216","https://openalex.org/W2367078749","https://openalex.org/W2381798600","https://openalex.org/W1910583078","https://openalex.org/W2351618306","https://openalex.org/W2133117170","https://openalex.org/W2999162218","https://openalex.org/W1537443268"],"abstract_inverted_index":{"Autonomous":[0],"driving":[1],"technology":[2],"has":[3],"entered":[4],"a":[5,54,67,94,126,139],"period":[6],"of":[7,16,75,90,105,114,128,137,152,202],"rapid":[8],"development,":[9],"and":[10,36,42,130,165,204,207,211,216],"traffic":[11,37],"sign":[12,38],"detection":[13,22,48,60],"is":[14,70,144,159],"one":[15],"the":[17,73,76,86,91,103,106,121,132,150,156,160,163,172,190,195,200],"important":[18],"tasks.":[19],"Existing":[20],"target":[21,31],"networks":[23],"are":[24,33,40,167],"difficult":[25],"to":[26,28,79,111,175],"adapt":[27],"scenarios":[29],"where":[30],"sizes":[32],"seriously":[34],"imbalanced,":[35],"targets":[39],"small":[41],"have":[43],"unclear":[44],"features,":[45],"which":[46,146],"makes":[47],"more":[49],"difficult.":[50],"Therefore,":[51],"we":[52,119],"propose":[53],"Hybrid":[55],"Feature":[56],"Fusion":[57],"Traffic":[58],"Sign":[59],"algorithm":[61],"based":[62],"on":[63,189],"YOLOv7":[64],"(HFFT-YOLO).":[65],"First,":[66],"self-attention":[68],"mechanism":[69],"incorporated":[71],"at":[72,102,178],"end":[74,104],"backbone":[77],"network":[78],"calculate":[80],"feature":[81],"interactions":[82],"within":[83],"scales;":[84],"Secondly,":[85],"cross-scale":[87,112],"fusion":[88,97,113],"part":[89],"neck":[92],"introduces":[93],"bottom-up":[95],"multi-path":[96],"method.":[98],"Design":[99],"reuse":[100],"paths":[101],"neck,":[107],"paying":[108],"particular":[109],"attention":[110],"high-level":[115],"features.":[116],"In":[117,135],"addition,":[118],"found":[120],"appropriate":[122],"channel":[123],"width":[124,164],"through":[125],"lot":[127],"experiments":[129],"reduced":[131],"superfluous":[133],"parameters.":[134],"terms":[136],"training,":[138],"new":[140],"regression":[141],"loss":[142,153],"CMPDIoU":[143],"proposed,":[145],"not":[147],"only":[148],"considers":[149],"problem":[151],"degradation":[154],"when":[155],"aspect":[157],"ratio":[158],"same":[161],"but":[162,169],"height":[166],"different,":[168],"also":[170],"enables":[171],"penalty":[173],"term":[174],"dynamically":[176],"change":[177],"different":[179],"scales.":[180],"Finally,":[181],"our":[182],"proposed":[183],"improved":[184],"method":[185],"shows":[186],"excellent":[187],"results":[188],"TT100K":[191],"dataset.":[192],"Compared":[193],"with":[194],"baseline":[196],"model,":[197],"without":[198],"increasing":[199],"number":[201],"parameters":[203],"computational":[205],"complexity,":[206],"increased":[208],"by":[209],"2.2%":[210],"2.7%,":[212],"respectively,":[213],"reaching":[214],"92.9%":[215],"58.1%.":[217]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}