{"id":"https://openalex.org/W4392173961","doi":"https://doi.org/10.1109/access.2024.3370604","title":"Pavement Defect Detection Algorithm Based on Improved YOLOv7 Complex Background","display_name":"Pavement Defect Detection Algorithm Based on Improved YOLOv7 Complex Background","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4392173961","doi":"https://doi.org/10.1109/access.2024.3370604"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3370604","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3370604","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10445452.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10445452.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082704903","display_name":"Chunlong Zou","orcid":"https://orcid.org/0009-0009-4295-5941"},"institutions":[{"id":"https://openalex.org/I4210126203","display_name":"Hubei University of Automotive Technology","ror":"https://ror.org/039m95m06","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210126203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zou Chunlong","raw_affiliation_strings":["School of Mechanical Engineering, Hubei University of Automotive Technology, Shiyan, China","Department of Mechanical Engineering, Hubei University of Automotive Technology, Shiyan, China"],"raw_orcid":"https://orcid.org/0009-0009-4295-5941","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Hubei University of Automotive Technology, Shiyan, China","institution_ids":["https://openalex.org/I4210126203"]},{"raw_affiliation_string":"Department of Mechanical Engineering, Hubei University of Automotive Technology, Shiyan, China","institution_ids":["https://openalex.org/I4210126203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5094006434","display_name":"Huang Peile","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126203","display_name":"Hubei University of Automotive Technology","ror":"https://ror.org/039m95m06","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210126203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huang Peile","raw_affiliation_strings":["School of Mechanical Engineering, Hubei University of Automotive Technology, Shiyan, China","Department of Mechanical Engineering, Hubei University of Automotive Technology, Shiyan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Hubei University of Automotive Technology, Shiyan, China","institution_ids":["https://openalex.org/I4210126203"]},{"raw_affiliation_string":"Department of Mechanical Engineering, Hubei University of Automotive Technology, Shiyan, China","institution_ids":["https://openalex.org/I4210126203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001399251","display_name":"Shenghuai Wang","orcid":"https://orcid.org/0000-0001-9017-2348"},"institutions":[{"id":"https://openalex.org/I4210126203","display_name":"Hubei University of Automotive Technology","ror":"https://ror.org/039m95m06","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210126203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Shenghuai","raw_affiliation_strings":["School of Mechanical Engineering, Hubei University of Automotive Technology, Shiyan, China","Department of Mechanical Engineering, Hubei University of Automotive Technology, Shiyan, China"],"raw_orcid":"https://orcid.org/0000-0001-9017-2348","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Hubei University of Automotive Technology, Shiyan, China","institution_ids":["https://openalex.org/I4210126203"]},{"raw_affiliation_string":"Department of Mechanical Engineering, Hubei University of Automotive Technology, Shiyan, China","institution_ids":["https://openalex.org/I4210126203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100337483","display_name":"Chen Wang","orcid":"https://orcid.org/0000-0001-6303-1507"},"institutions":[{"id":"https://openalex.org/I4210126203","display_name":"Hubei University of Automotive Technology","ror":"https://ror.org/039m95m06","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210126203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Chen","raw_affiliation_strings":["School of Mechanical Engineering, Hubei University of Automotive Technology, Shiyan, China","Department of Mechanical Engineering, Hubei University of Automotive Technology, Shiyan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Hubei University of Automotive Technology, Shiyan, China","institution_ids":["https://openalex.org/I4210126203"]},{"raw_affiliation_string":"Department of Mechanical Engineering, Hubei University of Automotive Technology, Shiyan, China","institution_ids":["https://openalex.org/I4210126203"]}]},{"author_position":"last","author":{"id":null,"display_name":"Wang Hongxia","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126203","display_name":"Hubei University of Automotive Technology","ror":"https://ror.org/039m95m06","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210126203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Hongxia","raw_affiliation_strings":["School of Mechanical Engineering, Hubei University of Automotive Technology, Shiyan, China","Department of Mechanical Engineering, Hubei University of Automotive Technology, Shiyan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Hubei University of Automotive Technology, Shiyan, China","institution_ids":["https://openalex.org/I4210126203"]},{"raw_affiliation_string":"Department of Mechanical Engineering, Hubei University of Automotive Technology, Shiyan, China","institution_ids":["https://openalex.org/I4210126203"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210126203"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.0176,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.84113681,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"12","issue":null,"first_page":"32870","last_page":"32880"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9995999932289124,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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":0.9775999784469604,"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":0.7604276537895203},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7214824557304382},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5928864479064941},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5704107880592346},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5477582216262817},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5410652160644531},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.48431482911109924},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4816669225692749},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4568610191345215},{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.4543943703174591},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.4269120395183563},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.3457144498825073},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.21374666690826416},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13356485962867737}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7604276537895203},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7214824557304382},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5928864479064941},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5704107880592346},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5477582216262817},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5410652160644531},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.48431482911109924},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4816669225692749},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4568610191345215},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.4543943703174591},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.4269120395183563},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.3457144498825073},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.21374666690826416},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13356485962867737},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3370604","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3370604","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10445452.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9527c674c8fd49a496c5549dd30be290","is_oa":true,"landing_page_url":"https://doaj.org/article/9527c674c8fd49a496c5549dd30be290","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":"IEEE Access, Vol 12, Pp 32870-32880 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3370604","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3370604","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10445452.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4381756012","display_name":null,"funder_award_id":"51675167","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5896723515","display_name":null,"funder_award_id":"2021BAA056","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G6199842367","display_name":null,"funder_award_id":"2020CFB755","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"},{"id":"https://openalex.org/G6898230208","display_name":null,"funder_award_id":"T2022027","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321135","display_name":"Chongqing University","ror":"https://ror.org/023rhb549"},{"id":"https://openalex.org/F4320321883","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53"},{"id":"https://openalex.org/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null},{"id":"https://openalex.org/F4320322684","display_name":"Hubei University of Automotive Technology","ror":"https://ror.org/039m95m06"},{"id":"https://openalex.org/F4320324116","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17"},{"id":"https://openalex.org/F4320325431","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88"},{"id":"https://openalex.org/F4320326712","display_name":"Weifang University of Science and Technology","ror":"https://ror.org/04ha2bb10"},{"id":"https://openalex.org/F4320329781","display_name":"Hubei University","ror":"https://ror.org/03a60m280"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392173961.pdf","grobid_xml":"https://content.openalex.org/works/W4392173961.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W2899663614","https://openalex.org/W3034059856","https://openalex.org/W3099452838","https://openalex.org/W4308206660","https://openalex.org/W4313452645","https://openalex.org/W4319319913","https://openalex.org/W4327960857","https://openalex.org/W4353065795","https://openalex.org/W4366422209","https://openalex.org/W4378573919","https://openalex.org/W4379779864","https://openalex.org/W4381681572","https://openalex.org/W4384103472","https://openalex.org/W4385759009","https://openalex.org/W4386076325","https://openalex.org/W4399769493","https://openalex.org/W6755977528"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W1987287817","https://openalex.org/W4405810158","https://openalex.org/W2123129869","https://openalex.org/W3094443322","https://openalex.org/W3031536623"],"abstract_inverted_index":{"The":[0,148],"detection":[1,55,61,115,146,159,163,209,225],"of":[2,53,108,128,156,171,175,192,210],"pavement":[3,196],"diseases":[4],"is":[5,67,74,95,122,204],"an":[6,169,190],"important":[7],"and":[8,32,43,111,142,177,182,185,194],"basic":[9],"link":[10],"in":[11,37,133,212],"the":[12,51,70,88,99,105,114,118,125,129,134,153,157,173,186,220],"road":[13],"maintenance":[14],"process.":[15],"Many":[16],"methods":[17,27],"based":[18,63],"on":[19,64,227],"deep":[20],"learning":[21],"have":[22],"been":[23],"applied.":[24],"However,":[25],"these":[26],"are":[28,198],"not":[29],"accurate":[30],"enough":[31],"cannot":[33],"accurately":[34],"identify":[35],"defects":[36,197,211],"complex":[38,58,213,228],"background":[39,59,229],"with":[40],"shadow":[41],"occlusion":[42],"uneven":[44],"lighting":[45],"brightness.":[46],"In":[47],"order":[48],"to":[49,81,97,103,167],"overcome":[50],"shortcomings":[52],"previous":[54],"methods,":[56],"a":[57],"defect":[60],"algorithm":[62,73,160],"improved":[65,158,221],"YOLOv7":[66,135,222],"proposed.":[68],"First,":[69],"K-means++":[71],"clustering":[72],"used":[75,123],"for":[76,161,207],"initial":[77],"anchor":[78,84],"box":[79,85],"setting":[80],"obtain":[82],"better":[83,224],"parameters;":[86],"then,":[87],"group":[89],"spatial":[90],"pyramid":[91],"pooling":[92],"module":[93,102,132],"SPPCSPC_G":[94],"introduced":[96],"replace":[98],"original":[100],"SPPCSPC":[101],"improve":[104,113],"fusion":[106],"speed":[107],"image":[109],"features":[110],"thereby":[112,143],"accuracy;":[116],"Finally,":[117],"GELU":[119],"activation":[120,126],"function":[121,127],"as":[124],"REPConv":[130],"convolution":[131],"model,":[136],"which":[137],"effectively":[138],"reduces":[139],"model":[140,145],"overfitting":[141],"improves":[144],"accuracy.":[147],"test":[149],"results":[150],"show":[151],"that":[152,219],"average":[154],"accuracy":[155],"disease":[162],"increased":[164],"from":[165],"65.4%":[166],"72.3%,":[168],"increase":[170,191],"6.9%,":[172],"amount":[174],"calculation":[176],"parameters":[178],"decreased":[179],"by":[180],"4%":[181],"14.9%":[183],"respectively,":[184],"FPS":[187],"reached":[188],"80,":[189],"17%,":[193],"no":[195],"missed":[199],"or":[200],"wrongly":[201],"detected.":[202],"It":[203,215],"more":[205],"suitable":[206],"real-time":[208],"background.":[214],"can":[216],"be":[217],"seen":[218],"has":[223],"effect":[226],"defects.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}