{"id":"https://openalex.org/W4414184166","doi":"https://doi.org/10.32604/cmc.2025.069348","title":"Pavement Crack Detection Based on Star-YOLO11","display_name":"Pavement Crack Detection Based on Star-YOLO11","publication_year":2025,"publication_date":"2025-09-15","ids":{"openalex":"https://openalex.org/W4414184166","doi":"https://doi.org/10.32604/cmc.2025.069348"},"language":"en","primary_location":{"id":"doi:10.32604/cmc.2025.069348","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.069348","pdf_url":null,"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://doi.org/10.32604/cmc.2025.069348","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119614566","display_name":"Jiang Mi","orcid":null},"institutions":[{"id":"https://openalex.org/I927504317","display_name":"Nanchang Hangkong University","ror":"https://ror.org/0369pvp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I927504317"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiang Mi","raw_affiliation_strings":["Digital Research Center, Jiangxi Jiaotou Maintenance Technology Group Co., Ltd., Nanchang, 330200, China 2 School of Software, Nanchang Hangkong University, Nanchang, 330063, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Digital Research Center, Jiangxi Jiaotou Maintenance Technology Group Co., Ltd., Nanchang, 330200, China 2 School of Software, Nanchang Hangkong University, Nanchang, 330063, China","institution_ids":["https://openalex.org/I927504317"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhijian Gan","orcid":null},"institutions":[{"id":"https://openalex.org/I927504317","display_name":"Nanchang Hangkong University","ror":"https://ror.org/0369pvp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I927504317"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijian Gan","raw_affiliation_strings":["Digital Research Center, Jiangxi Jiaotou Maintenance Technology Group Co., Ltd., Nanchang, 330200, China 2 School of Software, Nanchang Hangkong University, Nanchang, 330063, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Digital Research Center, Jiangxi Jiaotou Maintenance Technology Group Co., Ltd., Nanchang, 330200, China 2 School of Software, Nanchang Hangkong University, Nanchang, 330063, China","institution_ids":["https://openalex.org/I927504317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058604730","display_name":"Pengliu Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I927504317","display_name":"Nanchang Hangkong University","ror":"https://ror.org/0369pvp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I927504317"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengliu Tan","raw_affiliation_strings":["Digital Research Center, Jiangxi Jiaotou Maintenance Technology Group Co., Ltd., Nanchang, 330200, China 2 School of Software, Nanchang Hangkong University, Nanchang, 330063, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Digital Research Center, Jiangxi Jiaotou Maintenance Technology Group Co., Ltd., Nanchang, 330200, China 2 School of Software, Nanchang Hangkong University, Nanchang, 330063, China","institution_ids":["https://openalex.org/I927504317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103405269","display_name":"Xin Ya Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I927504317","display_name":"Nanchang Hangkong University","ror":"https://ror.org/0369pvp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I927504317"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Chang","raw_affiliation_strings":["Digital Research Center, Jiangxi Jiaotou Maintenance Technology Group Co., Ltd., Nanchang, 330200, China 2 School of Software, Nanchang Hangkong University, Nanchang, 330063, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Digital Research Center, Jiangxi Jiaotou Maintenance Technology Group Co., Ltd., Nanchang, 330200, China 2 School of Software, Nanchang Hangkong University, Nanchang, 330063, China","institution_ids":["https://openalex.org/I927504317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101713364","display_name":"Zhi Wang","orcid":"https://orcid.org/0009-0008-6343-7601"},"institutions":[{"id":"https://openalex.org/I927504317","display_name":"Nanchang Hangkong University","ror":"https://ror.org/0369pvp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I927504317"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Wang","raw_affiliation_strings":["Digital Research Center, Jiangxi Jiaotou Maintenance Technology Group Co., Ltd., Nanchang, 330200, China 2 School of Software, Nanchang Hangkong University, Nanchang, 330063, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Digital Research Center, Jiangxi Jiaotou Maintenance Technology Group Co., Ltd., Nanchang, 330200, China 2 School of Software, Nanchang Hangkong University, Nanchang, 330063, China","institution_ids":["https://openalex.org/I927504317"]}]},{"author_position":"last","author":{"id":null,"display_name":"Haisheng Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I927504317","display_name":"Nanchang Hangkong University","ror":"https://ror.org/0369pvp92","country_code":"CN","type":"education","lineage":["https://openalex.org/I927504317"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haisheng Xie","raw_affiliation_strings":["Digital Research Center, Jiangxi Jiaotou Maintenance Technology Group Co., Ltd., Nanchang, 330200, China 2 School of Software, Nanchang Hangkong University, Nanchang, 330063, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Digital Research Center, Jiangxi Jiaotou Maintenance Technology Group Co., Ltd., Nanchang, 330200, China 2 School of Software, Nanchang Hangkong University, Nanchang, 330063, China","institution_ids":["https://openalex.org/I927504317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I927504317"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23325941,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"86","issue":"1","first_page":"1","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9143000245094299,"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":0.9143000245094299,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6460000276565552},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.597599983215332},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5857999920845032},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5063999891281128},{"id":"https://openalex.org/keywords/backbone-network","display_name":"Backbone network","score":0.47600001096725464},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.45260000228881836},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41350001096725464},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.37439998984336853}],"concepts":[{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6460000276565552},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6334999799728394},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.597599983215332},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5857999920845032},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5063999891281128},{"id":"https://openalex.org/C88796919","wikidata":"https://www.wikidata.org/wiki/Q1142907","display_name":"Backbone network","level":2,"score":0.47600001096725464},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.45260000228881836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4415999948978424},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41350001096725464},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.37439998984336853},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.37130001187324524},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.35690000653266907},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34769999980926514},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.32510000467300415},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.3131999969482422},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.28859999775886536},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.272599995136261},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.27219998836517334},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.2590000033378601},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.2563000023365021},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2529999911785126}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32604/cmc.2025.069348","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.069348","pdf_url":null,"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.2025.069348","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.069348","pdf_url":null,"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":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"response":[1],"to":[2,71,94,129,173],"the":[3,42,47,62,68,81,95,101,112,131,134,145,157,167,184,244,255,273],"challenges":[4],"in":[5,16,67,140,298],"highway":[6],"pavement":[7,32,84,228,299],"distress":[8],"detection,":[9],"such":[10],"as":[11],"multiple":[12],"defect":[13],"categories,":[14],"difficulties":[15],"feature":[17,55,114],"extraction":[18,56,115,205],"for":[19,235,289,295],"different":[20],"damage":[21],"types,":[22],"and":[23,75,87,196,203,215,238,265,278],"slow":[24],"identification":[25],"speeds,":[26],"this":[27],"paper":[28],"proposes":[29],"an":[30,248,266],"enhanced":[31,59],"crack":[33,85,143,233,300],"detection":[34,73,86,126,301],"model":[35,77,89,274],"named":[36],"Star-YOLO11.":[37],"This":[38,118,221],"improved":[39],"algorithm":[40],"modifies":[41],"YOLO11":[43,96],"architecture":[44,97],"by":[45,276],"substituting":[46],"original":[48,102,135,168],"C3k2":[49,103,204],"backbone":[50,104,116],"network":[51],"with":[52,107],"a":[53,108,161,174,208,226,257,280],"Star-s50":[54,113,201],"network.":[57,117],"The":[58],"structure":[60,170],"adjusts":[61],"number":[63],"of":[64,83,133,250,262,268,283],"stacked":[65],"layers":[66],"StarBlock":[69],"module":[70],"optimize":[72],"accuracy":[74,82,249],"improve":[76,88],"efficiency.":[78],"To":[79],"enhance":[80],"efficiency,":[90],"three":[91],"key":[92],"modifications":[93],"are":[98],"proposed.":[99],"Firstly,":[100],"is":[105,154,171,219,223],"replaced":[106],"StarBlock-based":[109],"structure,":[110],"forming":[111],"lightweight":[119,296],"redesign":[120],"reduces":[121],"computational":[122],"complexity":[123],"while":[124,271],"maintaining":[125],"precision.":[127],"Secondly,":[128],"address":[130],"inefficiency":[132],"Partial":[136],"Self-attention":[137],"(PSA)":[138],"mechanism":[139,153],"capturing":[141],"localized":[142],"features,":[144],"convolutional":[146],"prior-aware":[147],"Channel":[148],"Prior":[149],"Convolutional":[150],"Attention":[151],"(CPCA)":[152],"integrated":[155],"into":[156],"channel":[158],"dimension,":[159],"creating":[160],"hybrid":[162],"CPC-C2PSA":[163],"attention":[164],"structure.":[165],"Thirdly,":[166],"neck":[169],"upgraded":[172],"Star":[175],"Multi-Branch":[176,185],"Auxiliary":[177,186],"Feature":[178,187],"Pyramid":[179,188],"Network":[180,189],"(SMAFPN)":[181],"based":[182],"on":[183,225],"architecture,":[190],"which":[191],"adaptively":[192],"fuses":[193],"high-level":[194],"semantic":[195],"low-level":[197],"spatial":[198],"information":[199],"through":[200],"connections":[202],"blocks.":[206],"Additionally,":[207],"composite":[209],"dataset":[210,229],"augmentation":[211,217],"strategy":[212,222],"combining":[213],"traditional":[214],"advanced":[216],"techniques":[218],"developed.":[220],"validated":[224],"specialized":[227],"containing":[230],"five":[231],"distinct":[232],"categories":[234],"comprehensive":[236],"training":[237],"evaluation.":[239],"Experimental":[240],"results":[241],"indicate":[242],"that":[243],"proposed":[245],"Star-YOLO11":[246],"achieves":[247],"89.9%":[251],"(3.5%":[252],"higher":[253],"than":[254],"baseline),":[256],"mean":[258],"average":[259],"precision":[260],"(mAP)":[261],"90.3%":[263],"(+2.6%),":[264],"F1-score":[267],"85.8%":[269],"(+0.5%),":[270],"reducing":[272],"size":[275],"18.8%":[277],"reaching":[279],"frame":[281],"rate":[282],"225.73":[284],"frames":[285],"per":[286],"second":[287],"(FPS)":[288],"real-time":[290],"detection.":[291],"It":[292],"shows":[293],"potential":[294],"deployment":[297],"tasks.":[302]},"counts_by_year":[],"updated_date":"2026-06-25T06:16:34.145877","created_date":"2025-10-10T00:00:00"}