{"id":"https://openalex.org/W4399039291","doi":"https://doi.org/10.1109/tits.2024.3401150","title":"Detection and Statistics System of Pavement Distresses Based on Street View Videos","display_name":"Detection and Statistics System of Pavement Distresses Based on Street View Videos","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4399039291","doi":"https://doi.org/10.1109/tits.2024.3401150"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2024.3401150","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2024.3401150","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/A5027454088","display_name":"Zhiyuan Zhang","orcid":"https://orcid.org/0009-0001-6047-5513"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiyuan Zhang","raw_affiliation_strings":["School of Rail Transportation, Soochow University, Suzhou, China"],"raw_orcid":"https://orcid.org/0009-0001-6047-5513","affiliations":[{"raw_affiliation_string":"School of Rail Transportation, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103147812","display_name":"Fang Liu","orcid":"https://orcid.org/0009-0001-5892-990X"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Liu","raw_affiliation_strings":["Academy of Creative Technology, Xi&#x2019;an Jiaotong-Liverpool University, Suzhou, China"],"raw_orcid":"https://orcid.org/0009-0001-5892-990X","affiliations":[{"raw_affiliation_string":"Academy of Creative Technology, Xi&#x2019;an Jiaotong-Liverpool University, Suzhou, China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058181137","display_name":"Yucheng Huang","orcid":"https://orcid.org/0000-0003-1728-2246"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yucheng Huang","raw_affiliation_strings":["School of Rail Transportation, Soochow University, Suzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-1728-2246","affiliations":[{"raw_affiliation_string":"School of Rail Transportation, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091374776","display_name":"Yue Hou","orcid":"https://orcid.org/0000-0002-4334-2620"},"institutions":[{"id":"https://openalex.org/I39586589","display_name":"Swansea University","ror":"https://ror.org/053fq8t95","country_code":"GB","type":"education","lineage":["https://openalex.org/I39586589"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yue Hou","raw_affiliation_strings":["Department of Civil Engineering, Swansea University, Swansea, U.K"],"raw_orcid":"https://orcid.org/0000-0002-4334-2620","affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, Swansea University, Swansea, U.K","institution_ids":["https://openalex.org/I39586589"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5027454088"],"corresponding_institution_ids":["https://openalex.org/I3923682"],"apc_list":null,"apc_paid":null,"fwci":4.4173,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.94937892,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"25","issue":"10","first_page":"15106","last_page":"15115"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13535","display_name":"Wireless Sensor Networks and IoT","score":0.8715000152587891,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T13535","display_name":"Wireless Sensor Networks and IoT","score":0.8715000152587891,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T13955","display_name":"Evaluation Methods in Various Fields","score":0.8532999753952026,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14270","display_name":"Simulation and Modeling Applications","score":0.7670000195503235,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/transport-engineering","display_name":"Transport engineering","score":0.5065375566482544},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.493823379278183},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46945565938949585},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4071243703365326},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35899099707603455},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.315376341342926},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2610248923301697}],"concepts":[{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.5065375566482544},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.493823379278183},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46945565938949585},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4071243703365326},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35899099707603455},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.315376341342926},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2610248923301697}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2024.3401150","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2024.3401150","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/G4891918751","display_name":null,"funder_award_id":"52208360","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5364623855","display_name":null,"funder_award_id":"BK20210720","funder_id":"https://openalex.org/F4320323085","funder_display_name":"Natural Science Foundation of Heilongjiang Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323085","display_name":"Natural Science Foundation of Heilongjiang Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W2102605133","https://openalex.org/W2193145675","https://openalex.org/W2511065100","https://openalex.org/W2570343428","https://openalex.org/W2737302881","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2964121718","https://openalex.org/W2970987838","https://openalex.org/W2989604896","https://openalex.org/W3018757597","https://openalex.org/W3034971973","https://openalex.org/W3042011474","https://openalex.org/W3106250896","https://openalex.org/W3127234776","https://openalex.org/W3153614472","https://openalex.org/W3175630421","https://openalex.org/W3214291416","https://openalex.org/W4213153107","https://openalex.org/W4226095742","https://openalex.org/W4226148227","https://openalex.org/W4281679836","https://openalex.org/W4283748233","https://openalex.org/W4286904999","https://openalex.org/W4293584584","https://openalex.org/W4296544680","https://openalex.org/W4297676427","https://openalex.org/W4307959636","https://openalex.org/W4312041865","https://openalex.org/W4319866011","https://openalex.org/W4321447187","https://openalex.org/W4385775088","https://openalex.org/W4386076204","https://openalex.org/W4386590375","https://openalex.org/W4387503356","https://openalex.org/W4393153514","https://openalex.org/W4402754006","https://openalex.org/W6620707391","https://openalex.org/W6750227808","https://openalex.org/W6838598217","https://openalex.org/W6839744764","https://openalex.org/W6843295864","https://openalex.org/W6855390429","https://openalex.org/W6873058455"],"related_works":["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","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Timely":[0],"detection":[1,21,42,69,170,193],"and":[2,27,43,95,138,158,171,189,194],"statistical":[3,44],"analysis":[4],"of":[5,66,205],"pavement":[6,19,40,168,206],"distresses":[7],"are":[8,98],"essential":[9],"for":[10,18,119,201],"improving":[11],"road":[12,179],"maintenance":[13],"efficiency.":[14],"However,":[15],"traditional":[16],"methods":[17],"defect":[20,41,192],"face":[22],"challenges":[23],"such":[24],"as":[25],"inefficiency":[26],"high":[28],"equipment":[29],"costs.":[30],"In":[31,174],"response":[32],"to":[33,62,87,100,177],"these":[34],"challenges,":[35],"this":[36],"paper":[37],"proposes":[38],"a":[39,139,166,198],"system":[45,185],"based":[46],"on":[47,133],"street":[48,180],"view":[49,181],"videos.":[50],"Initially,":[51],"we":[52,164],"introduce":[53],"an":[54],"enhanced":[55],"algorithm":[56,147,157],"named":[57],"SN-YOLO":[58,146,156],"(Slim-neck":[59],"YOLO)":[60],"designed":[61],"address":[63],"the":[64,80,89,93,102,108,122,134,144,155,159,175,184],"issue":[65],"low":[67],"model":[68,77,90],"accuracy":[70,188],"in":[71,112,125,191],"complex":[72],"background":[73],"environments":[74],"meanwhile":[75],"achieve":[76],"lightweighting.":[78],"Specifically,":[79],"GSConv":[81],"lightweight":[82],"convolution":[83],"module":[84],"is":[85,129],"employed":[86],"minimize":[88],"size,":[91],"while":[92],"VoVGSCSP":[94],"VoVGSCSP-cheap":[96],"modules":[97],"incorporated":[99],"augment":[101],"original":[103],"C2f":[104],"module,":[105],"thereby":[106],"refining":[107],"model\u2019s":[109,123],"recognition":[110],"capabilities":[111],"intricate":[113],"backgrounds.":[114],"Moreover,":[115],"by":[116,153],"incorporating":[117],"Soft-NMS":[118],"post-processing":[120],"optimization,":[121],"robustness":[124],"detecting":[126],"multi-scale":[127],"defects":[128],"enhanced.":[130],"Experimental":[131],"results":[132],"open-source":[135],"dataset":[136,141],"RDD2022":[137],"proprietary":[140],"demonstrate":[142],"that":[143],"improved":[145],"surpasses":[148],"current":[149],"state-of-the-art":[150],"methods.":[151],"Furthermore,":[152],"leveraging":[154],"Deep":[160],"oc-sort":[161],"tracking":[162],"algorithm,":[163],"develop":[165],"deployable":[167],"distress":[169],"statistic":[172],"system.":[173],"application":[176],"real-world":[178],"video":[182],"analysis,":[183],"exhibits":[186],"unparalleled":[187],"efficiency":[190],"data":[195],"compilation,":[196],"presenting":[197],"robust":[199],"solution":[200],"expedited,":[202],"large-scale":[203],"assessment":[204],"conditions.":[207]},"counts_by_year":[{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
