{"id":"https://openalex.org/W4405601871","doi":"https://doi.org/10.1109/iotais64014.2024.10799472","title":"Automatic Detection of Potholes Uses Deep Learning to Reduce Traffic Accidents","display_name":"Automatic Detection of Potholes Uses Deep Learning to Reduce Traffic Accidents","publication_year":2024,"publication_date":"2024-11-28","ids":{"openalex":"https://openalex.org/W4405601871","doi":"https://doi.org/10.1109/iotais64014.2024.10799472"},"language":"en","primary_location":{"id":"doi:10.1109/iotais64014.2024.10799472","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iotais64014.2024.10799472","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS)","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/A5088578178","display_name":"Uus Khusni","orcid":null},"institutions":[{"id":"https://openalex.org/I4387154144","display_name":"National Research and Innovation Agency","ror":"https://ror.org/02hmjzt55","country_code":"ID","type":"government","lineage":["https://openalex.org/I4387154144"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Uus Khusni","raw_affiliation_strings":["National Research and Innovation Agency of Indonesia,Research Center for Artificial Intelligence and Cyber Security,Bandung,Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Research and Innovation Agency of Indonesia,Research Center for Artificial Intelligence and Cyber Security,Bandung,Indonesia","institution_ids":["https://openalex.org/I4387154144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100625631","display_name":"Rachmat Hidayat","orcid":"https://orcid.org/0009-0001-3280-5773"},"institutions":[{"id":"https://openalex.org/I4387154144","display_name":"National Research and Innovation Agency","ror":"https://ror.org/02hmjzt55","country_code":"ID","type":"government","lineage":["https://openalex.org/I4387154144"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Rachmat Hidayat","raw_affiliation_strings":["National Research and Innovation Agency of Indonesia,Research Center for Artificial Intelligence and Cyber Security,Bandung,Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Research and Innovation Agency of Indonesia,Research Center for Artificial Intelligence and Cyber Security,Bandung,Indonesia","institution_ids":["https://openalex.org/I4387154144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019873371","display_name":"Heru Susanto","orcid":"https://orcid.org/0000-0002-1823-357X"},"institutions":[{"id":"https://openalex.org/I4387154144","display_name":"National Research and Innovation Agency","ror":"https://ror.org/02hmjzt55","country_code":"ID","type":"government","lineage":["https://openalex.org/I4387154144"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Heru Susanto","raw_affiliation_strings":["National Research and Innovation Agency of Indonesia,Research Center for Artificial Intelligence and Cyber Security,Bandung,Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Research and Innovation Agency of Indonesia,Research Center for Artificial Intelligence and Cyber Security,Bandung,Indonesia","institution_ids":["https://openalex.org/I4387154144"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032101353","display_name":"Asep Insani","orcid":null},"institutions":[{"id":"https://openalex.org/I4387154144","display_name":"National Research and Innovation Agency","ror":"https://ror.org/02hmjzt55","country_code":"ID","type":"government","lineage":["https://openalex.org/I4387154144"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Asep Insani","raw_affiliation_strings":["National Research and Innovation Agency of Indonesia,Research Center for Testing Technology and Standards,Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Research and Innovation Agency of Indonesia,Research Center for Testing Technology and Standards,Indonesia","institution_ids":["https://openalex.org/I4387154144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4387154144"],"apc_list":null,"apc_paid":null,"fwci":5.0684,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.96313364,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"8","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9925000071525574,"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":0.9925000071525574,"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/T12233","display_name":"Geotechnical Engineering and Underground Structures","score":0.9538000226020813,"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/T11220","display_name":"Water Systems and Optimization","score":0.9470000267028809,"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/computer-science","display_name":"Computer science","score":0.7029557824134827},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5521774888038635},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3740053176879883},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.35686397552490234}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7029557824134827},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5521774888038635},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3740053176879883},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.35686397552490234}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iotais64014.2024.10799472","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iotais64014.2024.10799472","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1996159834","https://openalex.org/W2097117768","https://openalex.org/W2194775991","https://openalex.org/W2915477576","https://openalex.org/W2954996726","https://openalex.org/W3081153061","https://openalex.org/W3081988561","https://openalex.org/W3086583298","https://openalex.org/W4205669084","https://openalex.org/W4221145385","https://openalex.org/W4287079008","https://openalex.org/W4295957496","https://openalex.org/W4366375399","https://openalex.org/W4386441417","https://openalex.org/W4391564655","https://openalex.org/W4402577473","https://openalex.org/W6620707391","https://openalex.org/W6798827822","https://openalex.org/W6907197030"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4321369474","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W3086377361"],"abstract_inverted_index":{"Traffic":[0],"accidents":[1,56,93,114],"are":[2,10,62,71,108,116],"events":[3],"that":[4,9,65,115,200],"occur":[5],"on":[6],"the":[7,50,58,72,104,111,119,155,169,176,187,191,201,208,217],"road":[8,18,23],"unexpected":[11],"and":[12,77,82,98,123,193,216],"unplanned,":[13],"involving":[14],"vehicles":[15],"with":[16,181,186],"other":[17,22,30],"users":[19],"or":[20,29],"without":[21],"users,":[24],"resulting":[25],"in":[26,35,57,118],"human":[27],"casualties":[28],"property":[31],"losses.":[32],"In":[33,152],"Indonesia":[34],"2019,":[36],"there":[37],"were":[38],"116,411":[39],"traffic":[40,55,67,88,130],"accidents.":[41,68,89,131],"This":[42],"number":[43,51,91],"has":[44],"increased":[45],"by":[46,95],"0.06%":[47],"compared":[48],"to":[49,147,167],"of":[52,54,74,87,92,110,113,121,129,134,223],"cases":[53],"previous":[59,177],"year.":[60],"There":[61],"several":[63],"factors":[64,73,84,97],"cause":[66,85,127],"Among":[69],"them":[70],"supporting":[75],"facilities":[76],"infrastructure":[78,99,122],"for":[79],"traffic.":[80],"Infrastructure":[81],"environmental":[83,96,124],"30%":[86],"The":[90,132,163,183,211],"caused":[94],"requires":[100],"great":[101],"concern":[102],"from":[103,175,190],"parties":[105],"concerned.":[106],"Potholes":[107,126,188],"one":[109,145],"causes":[112],"included":[117],"category":[120],"factors.":[125],"15%":[128],"development":[133],"Artificial":[135],"Intelligence":[136],"(AI)":[137],"technology,":[138],"especially":[139],"Deep":[140],"Learning":[141],"(DL),":[142],"could":[143],"be":[144],"solution":[146],"help":[148],"identify":[149],"potholes":[150],"automatically.":[151],"this":[153],"research,":[154],"DL":[156],"model":[157,165,178,219],"was":[158],"developed":[159],"using":[160,179],"Faster":[161],"R-CNN.":[162],"proposed":[164,202,212],"is":[166],"replace":[168],"backbone":[170],"convolutional":[171],"neural":[172],"network":[173],"(CNN)":[174],"Inception-V2":[180],"ResNet-101.":[182],"test":[184],"results":[185],"dataset":[189],"Electrical":[192],"Electronic":[194],"Department":[195],"at":[196],"Stellenbosch":[197],"University":[198],"show":[199],"method":[203,213],"produces":[204,214,220],"better":[205],"accuracy":[206,222],"than":[207],"baseline":[209,218],"model.":[210],"73.77%,":[215],"an":[221],"67.83%.":[224]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}
