{"id":"https://openalex.org/W4313459295","doi":"https://doi.org/10.1109/dtpi55838.2022.9998932","title":"Pavement Crack Detection on BEV Based on Attention-Unet","display_name":"Pavement Crack Detection on BEV Based on Attention-Unet","publication_year":2022,"publication_date":"2022-10-24","ids":{"openalex":"https://openalex.org/W4313459295","doi":"https://doi.org/10.1109/dtpi55838.2022.9998932"},"language":"en","primary_location":{"id":"doi:10.1109/dtpi55838.2022.9998932","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dtpi55838.2022.9998932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100360690","display_name":"Jia Zhang","orcid":"https://orcid.org/0000-0002-4697-8237"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Zhang","raw_affiliation_strings":["Hubei University,Faculty of Mathematics and Statistics,Wuhan,China","Faculty of Mathematics and Statistics, Hubei University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei University,Faculty of Mathematics and Statistics,Wuhan,China","institution_ids":["https://openalex.org/I75900474"]},{"raw_affiliation_string":"Faculty of Mathematics and Statistics, Hubei University, Wuhan, China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027324847","display_name":"Na Chen","orcid":"https://orcid.org/0009-0003-4672-3247"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Na Chen","raw_affiliation_strings":["Hubei University,Hubei Key Laboratory of Applied Mathematics,Wuhan,China","Hubei Key Laboratory of Applied Mathematics, Hubei University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei University,Hubei Key Laboratory of Applied Mathematics,Wuhan,China","institution_ids":["https://openalex.org/I75900474"]},{"raw_affiliation_string":"Hubei Key Laboratory of Applied Mathematics, Hubei University, Wuhan, China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036030486","display_name":"Jiangtao Peng","orcid":"https://orcid.org/0000-0002-4759-0584"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangtao Peng","raw_affiliation_strings":["Hubei University,Hubei Key Laboratory of Applied Mathematics,Wuhan,China","Hubei Key Laboratory of Applied Mathematics, Hubei University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei University,Hubei Key Laboratory of Applied Mathematics,Wuhan,China","institution_ids":["https://openalex.org/I75900474"]},{"raw_affiliation_string":"Hubei Key Laboratory of Applied Mathematics, Hubei University, Wuhan, China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008231467","display_name":"Feng Cui","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feng Cui","raw_affiliation_strings":["Beijing Smarter Eye Technology Co. Ltd,Beijing,China","Beijing Smarter Eye Technology Co. Ltd, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Smarter Eye Technology Co. Ltd,Beijing,China","institution_ids":[]},{"raw_affiliation_string":"Beijing Smarter Eye Technology Co. Ltd, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8153,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.74493825,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9968000054359436,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9815999865531921,"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/parallax","display_name":"Parallax","score":0.655331015586853},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6524715423583984},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.62027508020401},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5629054307937622},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5447242856025696},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4823410212993622},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2443038523197174}],"concepts":[{"id":"https://openalex.org/C15759828","wikidata":"https://www.wikidata.org/wiki/Q165074","display_name":"Parallax","level":2,"score":0.655331015586853},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6524715423583984},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.62027508020401},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5629054307937622},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5447242856025696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4823410212993622},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2443038523197174},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dtpi55838.2022.9998932","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dtpi55838.2022.9998932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6700000166893005,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1974979630","https://openalex.org/W2058988978","https://openalex.org/W2511065100","https://openalex.org/W2589058957","https://openalex.org/W3013630101","https://openalex.org/W3202215623","https://openalex.org/W3213267434","https://openalex.org/W4210553364","https://openalex.org/W4210730192","https://openalex.org/W6684323423"],"related_works":["https://openalex.org/W1957820763","https://openalex.org/W2163153861","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407"],"abstract_inverted_index":{"Identifying":[0],"and":[1,6,71,103,134],"detecting":[2],"pavement":[3,102,139],"cracks":[4,77],"quickly":[5],"accurately":[7],"for":[8,107,122,137],"traffic":[9],"safety":[10],"is":[11,47,64,85,135],"one":[12],"of":[13,20,28,56,91,100,110,116],"the":[14,18,39,43,54,57,69,76,79,89,98,101,108,114,128],"important":[15],"problems":[16],"in":[17,113],"field":[19],"automatic":[21],"driving.":[22],"This":[23],"study":[24],"presents":[25],"a":[26,105,120],"framework":[27],"crack":[29,92,111],"detection":[30,132],"on":[31,38,78],"BEV":[32,52],"(Bird's":[33],"Eye":[34],"View).":[35],"Firstly,":[36],"based":[37],"binocular":[40],"parallax":[41],"information,":[42],"captured":[44],"road":[45],"image":[46],"transformed":[48],"from":[49],"perspective":[50],"to":[51,66,74,88],"as":[53],"input":[55],"network.":[58],"The":[59,94,125],"Unet":[60],"with":[61],"attention":[62],"mechanism":[63],"used":[65],"selectively":[67],"fuse":[68],"deep":[70],"shallow":[72],"features":[73],"identify":[75],"pavement.":[80],"In":[81],"addition,":[82],"further":[83],"processing":[84],"performed":[86],"according":[87],"results":[90,95],"detection.":[93],"help":[96],"judge":[97],"quality":[99],"provide":[104],"basis":[106],"measurement":[109],"width":[112],"direction":[115],"normal":[117],"vector,":[118],"laying":[119],"foundation":[121],"subsequent":[123],"application.":[124],"test":[126],"shows":[127],"method":[129],"has":[130],"high":[131],"accuracy":[133],"suitable":[136],"complex":[138],"conditions.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}