{"id":"https://openalex.org/W4409473915","doi":"https://doi.org/10.1109/tits.2025.3556941","title":"A Shadow-Robust Pavement Damage Detection Framework Based on RACycle-GAN and DDE-YOLOv8","display_name":"A Shadow-Robust Pavement Damage Detection Framework Based on RACycle-GAN and DDE-YOLOv8","publication_year":2025,"publication_date":"2025-04-15","ids":{"openalex":"https://openalex.org/W4409473915","doi":"https://doi.org/10.1109/tits.2025.3556941"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2025.3556941","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3556941","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Intelligent Transportation Systems","raw_type":"journal-article"},"type":"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/A5000645671","display_name":"Weiyi Kong","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiyi Kong","raw_affiliation_strings":["Intelligent Transportation System Research Center, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Transportation System Research Center, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100657989","display_name":"Yicheng Li","orcid":"https://orcid.org/0000-0003-4447-7452"},"institutions":[{"id":"https://openalex.org/I4210125878","display_name":"Suzhou Research Institute","ror":"https://ror.org/03ebk0c60","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210125878"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yicheng Li","raw_affiliation_strings":["Suzhou Jiaotou Construction Management Company Ltd., Suzhou, China","Suzhou Jiaotou Construction Management Company Ltd, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Suzhou Jiaotou Construction Management Company Ltd., Suzhou, China","institution_ids":["https://openalex.org/I4210125878"]},{"raw_affiliation_string":"Suzhou Jiaotou Construction Management Company Ltd, Suzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101614498","display_name":"Jing Hu","orcid":"https://orcid.org/0000-0001-7134-2532"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Hu","raw_affiliation_strings":["Intelligent Transportation System Research Center, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-7134-2532","affiliations":[{"raw_affiliation_string":"Intelligent Transportation System Research Center, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023934462","display_name":"Sang Luo","orcid":"https://orcid.org/0000-0003-2291-4295"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sang Luo","raw_affiliation_strings":["Intelligent Transportation System Research Center, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-2291-4295","affiliations":[{"raw_affiliation_string":"Intelligent Transportation System Research Center, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jiangqiu Rui","orcid":null},"institutions":[{"id":"https://openalex.org/I4210125878","display_name":"Suzhou Research Institute","ror":"https://ror.org/03ebk0c60","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210125878"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangqiu Rui","raw_affiliation_strings":["Suzhou Intelligent Transportation Information Technology Company Ltd., Suzhou, China","Suzhou Intelligent Transportation Information Technology Company Ltd, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Suzhou Intelligent Transportation Information Technology Company Ltd., Suzhou, China","institution_ids":["https://openalex.org/I4210125878"]},{"raw_affiliation_string":"Suzhou Intelligent Transportation Information Technology Company Ltd, Suzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0904,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.85009699,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"26","issue":"8","first_page":"11342","last_page":"11355"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":1.0,"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":1.0,"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/T10264","display_name":"Asphalt Pavement Performance Evaluation","score":0.9976000189781189,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/shadow","display_name":"Shadow (psychology)","score":0.6156713366508484},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4499179720878601},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3503897190093994},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3485799729824066},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.0786815881729126}],"concepts":[{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.6156713366508484},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4499179720878601},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3503897190093994},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3485799729824066},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0786815881729126},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2025.3556941","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3556941","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4800407016","display_name":null,"funder_award_id":"2023Z07-1","funder_id":"https://openalex.org/F4320327500","funder_display_name":"Jiangsu University of Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320327500","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W2008543119","https://openalex.org/W2012383019","https://openalex.org/W2062413904","https://openalex.org/W2100495367","https://openalex.org/W2102605133","https://openalex.org/W2120419212","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2289283324","https://openalex.org/W2535388113","https://openalex.org/W2566750370","https://openalex.org/W2607589938","https://openalex.org/W2887597701","https://openalex.org/W2913071089","https://openalex.org/W2921353216","https://openalex.org/W2923942255","https://openalex.org/W2947833581","https://openalex.org/W2962793481","https://openalex.org/W2962820504","https://openalex.org/W2963014378","https://openalex.org/W2963684088","https://openalex.org/W2964241181","https://openalex.org/W2997085666","https://openalex.org/W3000110218","https://openalex.org/W3001456352","https://openalex.org/W3045822672","https://openalex.org/W3104943862","https://openalex.org/W3106250896","https://openalex.org/W3108948338","https://openalex.org/W3136965486","https://openalex.org/W3137588588","https://openalex.org/W3200966602","https://openalex.org/W4224102420","https://openalex.org/W4285254182","https://openalex.org/W4289752563","https://openalex.org/W4306735878","https://openalex.org/W4311415873","https://openalex.org/W4327960857","https://openalex.org/W4360839306","https://openalex.org/W4375862278","https://openalex.org/W4386066096","https://openalex.org/W4387184629","https://openalex.org/W4387837081","https://openalex.org/W4389107895","https://openalex.org/W4390052241","https://openalex.org/W4390754714","https://openalex.org/W4394564078","https://openalex.org/W4394597971","https://openalex.org/W4394891779","https://openalex.org/W4399258237","https://openalex.org/W4402426673","https://openalex.org/W4402537325","https://openalex.org/W4406714277","https://openalex.org/W4407115758","https://openalex.org/W4407449481","https://openalex.org/W4408706102","https://openalex.org/W4409368079","https://openalex.org/W6620707391","https://openalex.org/W6634804536","https://openalex.org/W6679045638","https://openalex.org/W6685352114","https://openalex.org/W6758800702","https://openalex.org/W6872453317"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2893218741","https://openalex.org/W4392589133","https://openalex.org/W2390279801","https://openalex.org/W2558319350","https://openalex.org/W1492594177","https://openalex.org/W4391913857","https://openalex.org/W2358668433"],"abstract_inverted_index":{"Pavement":[0],"construction":[1],"worldwide":[2],"has":[3],"expanded":[4],"significantly,":[5],"making":[6],"maintenance":[7],"of":[8,98,131,146],"pavement":[9,37,65,140],"infrastructure":[10],"a":[11,45,63,136],"highly":[12],"challenging":[13],"task.":[14],"Traditional":[15],"manual":[16],"inspection":[17],"methods":[18],"are":[19],"inefficient":[20],"and":[21,54,78,123,133],"costly,":[22],"while":[23],"deep":[24],"learning-based":[25],"object":[26],"detection":[27,67,99,112,121,150],"algorithms":[28],"often":[29],"underperform":[30],"in":[31,139,152],"complex":[32],"scenarios":[33],"such":[34],"as":[35],"shadowed":[36],"surfaces.":[38],"To":[39],"address":[40],"these":[41],"issues,":[42],"by":[43],"combining":[44],"shadow":[46,91,101],"removal":[47,92],"model":[48],"(Residual":[49],"Attention":[50],"Cycle":[51],"GAN,":[52],"RACycle-GAN)":[53],"Damage":[55],"Detection":[56],"Enhanced":[57],"YOLOv8":[58],"(DDE-YOLOv8),":[59],"this":[60,153],"paper":[61],"proposes":[62],"shadow-robust":[64,148],"damage":[66,111,141,149],"framework.":[68],"By":[69],"integrating":[70],"the":[71,82,86,96,110,126,144,147],"Residual":[72],"Encoder-Decoder":[73],"Block,":[74],"two-branch":[75],"spatial":[76],"attention,":[77],"cycle":[79],"consistency":[80],"into":[81],"original":[83,127],"DCGAN":[84],"architecture,":[85],"proposed":[87],"RACycle-GAN":[88,118,132],"significantly":[89],"enhances":[90],"performance,":[93,122],"fundamentally":[94],"solving":[95],"issue":[97],"under":[100],"interference.":[102],"Additionally,":[103],"DDE-YOLOv8":[104,124,134],"is":[105],"introduced":[106],"to":[107],"further":[108],"enhance":[109],"performance.":[113],"Experimental":[114],"results":[115],"demonstrate":[116],"that":[117],"greatly":[119],"improves":[120],"outperforms":[125],"version.":[128],"The":[129],"combination":[130],"achieves":[135],"leading":[137],"performance":[138],"detection,":[142],"demonstrating":[143],"effectiveness":[145],"method":[151],"paper.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
