{"id":"https://openalex.org/W4408352042","doi":"https://doi.org/10.1109/icassp49660.2025.10888616","title":"TD-RD: A Top-Down Benchmark with Real-Time Framework for Road Damage Detection","display_name":"TD-RD: A Top-Down Benchmark with Real-Time Framework for Road Damage Detection","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408352042","doi":"https://doi.org/10.1109/icassp49660.2025.10888616"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10888616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888616","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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/A5047737162","display_name":"Xi Xiao","orcid":"https://orcid.org/0000-0002-6921-0669"},"institutions":[{"id":"https://openalex.org/I32389192","display_name":"University of Alabama at Birmingham","ror":"https://ror.org/008s83205","country_code":"US","type":"education","lineage":["https://openalex.org/I32389192"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xi Xiao","raw_affiliation_strings":["University of Alabama at Birmingham"],"affiliations":[{"raw_affiliation_string":"University of Alabama at Birmingham","institution_ids":["https://openalex.org/I32389192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061227677","display_name":"Zhengji Li","orcid":"https://orcid.org/0000-0002-1215-5902"},"institutions":[{"id":"https://openalex.org/I32389192","display_name":"University of Alabama at Birmingham","ror":"https://ror.org/008s83205","country_code":"US","type":"education","lineage":["https://openalex.org/I32389192"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhengji Li","raw_affiliation_strings":["University of Alabama at Birmingham"],"affiliations":[{"raw_affiliation_string":"University of Alabama at Birmingham","institution_ids":["https://openalex.org/I32389192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100394149","display_name":"Wentao Wang","orcid":"https://orcid.org/0000-0003-4216-4938"},"institutions":[{"id":"https://openalex.org/I32389192","display_name":"University of Alabama at Birmingham","ror":"https://ror.org/008s83205","country_code":"US","type":"education","lineage":["https://openalex.org/I32389192"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wentao Wang","raw_affiliation_strings":["University of Alabama at Birmingham"],"affiliations":[{"raw_affiliation_string":"University of Alabama at Birmingham","institution_ids":["https://openalex.org/I32389192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028377983","display_name":"Jiacheng Xie","orcid":"https://orcid.org/0000-0002-7136-1140"},"institutions":[{"id":"https://openalex.org/I32389192","display_name":"University of Alabama at Birmingham","ror":"https://ror.org/008s83205","country_code":"US","type":"education","lineage":["https://openalex.org/I32389192"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiacheng Xie","raw_affiliation_strings":["University of Alabama at Birmingham"],"affiliations":[{"raw_affiliation_string":"University of Alabama at Birmingham","institution_ids":["https://openalex.org/I32389192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006625645","display_name":"Hsiung\u2010Cheng Lin","orcid":"https://orcid.org/0000-0002-4523-9942"},"institutions":[{"id":"https://openalex.org/I32389192","display_name":"University of Alabama at Birmingham","ror":"https://ror.org/008s83205","country_code":"US","type":"education","lineage":["https://openalex.org/I32389192"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Houjie Lin","raw_affiliation_strings":["University of Alabama at Birmingham"],"affiliations":[{"raw_affiliation_string":"University of Alabama at Birmingham","institution_ids":["https://openalex.org/I32389192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087427076","display_name":"Swalpa Kumar Roy","orcid":"https://orcid.org/0000-0002-6580-3977"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Swalpa Kumar Roy","raw_affiliation_strings":["Alipurduar Government Engineering and Management College"],"affiliations":[{"raw_affiliation_string":"Alipurduar Government Engineering and Management College","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100656830","display_name":"Tianyang Wang","orcid":"https://orcid.org/0000-0002-7256-883X"},"institutions":[{"id":"https://openalex.org/I32389192","display_name":"University of Alabama at Birmingham","ror":"https://ror.org/008s83205","country_code":"US","type":"education","lineage":["https://openalex.org/I32389192"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tianyang Wang","raw_affiliation_strings":["University of Alabama at Birmingham"],"affiliations":[{"raw_affiliation_string":"University of Alabama at Birmingham","institution_ids":["https://openalex.org/I32389192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000807861","display_name":"Min Xu","orcid":"https://orcid.org/0000-0002-0881-5891"},"institutions":[{"id":"https://openalex.org/I4210113480","display_name":"Mohamed bin Zayed University of Artificial Intelligence","ror":"https://ror.org/0258gkt32","country_code":"AE","type":"education","lineage":["https://openalex.org/I4210113480"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Min Xu","raw_affiliation_strings":["MBZUAI"],"affiliations":[{"raw_affiliation_string":"MBZUAI","institution_ids":["https://openalex.org/I4210113480"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5047737162"],"corresponding_institution_ids":["https://openalex.org/I32389192"],"apc_list":null,"apc_paid":null,"fwci":7.1186,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.97019183,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9969000220298767,"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":0.9969000220298767,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.97079998254776,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.968999981880188,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/benchmark","display_name":"Benchmark (surveying)","score":0.7597431540489197},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6332866549491882},{"id":"https://openalex.org/keywords/top-down-and-bottom-up-design","display_name":"Top-down and bottom-up design","score":0.48246410489082336},{"id":"https://openalex.org/keywords/road-traffic","display_name":"Road traffic","score":0.42605364322662354},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4255220293998718},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.320422887802124},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.18082007765769958},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1571708619594574},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.11169469356536865},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07969403266906738}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7597431540489197},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6332866549491882},{"id":"https://openalex.org/C135798126","wikidata":"https://www.wikidata.org/wiki/Q2167279","display_name":"Top-down and bottom-up design","level":2,"score":0.48246410489082336},{"id":"https://openalex.org/C2985695025","wikidata":"https://www.wikidata.org/wiki/Q4323994","display_name":"Road traffic","level":2,"score":0.42605364322662354},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4255220293998718},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.320422887802124},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.18082007765769958},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1571708619594574},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.11169469356536865},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07969403266906738},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10888616","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888616","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2193145675","https://openalex.org/W2962834855","https://openalex.org/W3024104158","https://openalex.org/W3171398643","https://openalex.org/W4213019189","https://openalex.org/W4213052444","https://openalex.org/W4214604703","https://openalex.org/W4301373693","https://openalex.org/W4320024091","https://openalex.org/W4385805011","https://openalex.org/W4386076325","https://openalex.org/W4401594570","https://openalex.org/W4402754006","https://openalex.org/W4403331861","https://openalex.org/W4403770406","https://openalex.org/W4411555708","https://openalex.org/W6620707391"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W915438175","https://openalex.org/W4230315250"],"abstract_inverted_index":{"Object":[0],"detection":[1,29,114],"has":[2],"witnessed":[3],"remarkable":[4],"advancements":[5],"over":[6],"the":[7,18,24,120,125,152,160],"past":[8],"decade,":[9],"largely":[10],"driven":[11],"by":[12,51,124],"breakthroughs":[13],"in":[14,145],"deep":[15],"learning":[16],"and":[17,43,87],"proliferation":[19],"of":[20,26,83,96,104,151],"large-scale":[21],"datasets.":[22],"However,":[23],"domain":[25],"road":[27,44,68,84,105],"damage":[28,69],"remains":[30],"relatively":[31],"underexplored,":[32],"despite":[33],"its":[34],"critical":[35],"significance":[36],"for":[37,67],"applications":[38],"such":[39],"as":[40],"infrastructure":[41],"maintenance":[42],"safety.":[45],"This":[46],"paper":[47],"addresses":[48],"this":[49,146],"gap":[50],"introducing":[52],"a":[53,59,110],"novel":[54,111],"top-down":[55,91],"benchmark":[56],"that":[57],"offers":[58],"complementary":[60],"perspective":[61],"to":[62,118,142],"existing":[63],"datasets,":[64],"specifically":[65],"tailored":[66],"detection.":[70],"Our":[71],"proposed":[72],"Top-Down":[73],"Road":[74],"Damage":[75],"Detection":[76],"Dataset":[77],"(TD-RD)":[78],"includes":[79],"three":[80],"primary":[81],"categories":[82],"damage\u2014cracks,":[85],"potholes,":[86],"patches\u2014captured":[88],"from":[89],"an":[90],"viewpoint.":[92],"The":[93],"dataset":[94,153],"consists":[95],"7,088":[97],"high-resolution":[98],"images,":[99],"encompassing":[100],"12,882":[101],"annotated":[102],"instances":[103],"damage.":[106],"Additionally,":[107],"we":[108,140],"present":[109],"real-time":[112],"object":[113],"framework,":[115],"TD-YOLOV10,":[116],"designed":[117],"handle":[119],"unique":[121],"challenges":[122],"posed":[123],"TD-RD":[126],"dataset.":[127],"Comparative":[128],"studies":[129],"with":[130],"state-of-the-art":[131],"models":[132],"demonstrate":[133],"competitive":[134],"baseline":[135],"results.":[136],"By":[137],"releasing":[138],"TD-RD,":[139],"aim":[141],"accelerate":[143],"research":[144],"crucial":[147],"area.":[148],"A":[149],"sample":[150],"will":[154],"be":[155],"made":[156],"publicly":[157],"available":[158],"upon":[159],"paper\u2019s":[161],"acceptance.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":7}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}