{"id":"https://openalex.org/W3136965486","doi":"https://doi.org/10.1109/bigdata50022.2020.9378245","title":"Detecting Various Road Damage Types in Global Countries Utilizing Faster R-CNN","display_name":"Detecting Various Road Damage Types in Global Countries Utilizing Faster R-CNN","publication_year":2020,"publication_date":"2020-12-10","ids":{"openalex":"https://openalex.org/W3136965486","doi":"https://doi.org/10.1109/bigdata50022.2020.9378245","mag":"3136965486"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata50022.2020.9378245","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9378245","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","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/A5071039206","display_name":"Felix Kortmann","orcid":"https://orcid.org/0000-0002-7074-1440"},"institutions":[{"id":"https://openalex.org/I454632","display_name":"Hella (Germany)","ror":"https://ror.org/02c5z9p32","country_code":"DE","type":"company","lineage":["https://openalex.org/I454632"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Felix Kortmann","raw_affiliation_strings":["HELLA GmbH & Co. KGaA,Lippstadt,Germany"],"affiliations":[{"raw_affiliation_string":"HELLA GmbH & Co. KGaA,Lippstadt,Germany","institution_ids":["https://openalex.org/I454632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035155181","display_name":"Kevin Talits","orcid":"https://orcid.org/0009-0006-0731-0716"},"institutions":[{"id":"https://openalex.org/I454632","display_name":"Hella (Germany)","ror":"https://ror.org/02c5z9p32","country_code":"DE","type":"company","lineage":["https://openalex.org/I454632"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kevin Talits","raw_affiliation_strings":["HELLA GmbH & Co. KGaA,Lippstadt,Germany"],"affiliations":[{"raw_affiliation_string":"HELLA GmbH & Co. KGaA,Lippstadt,Germany","institution_ids":["https://openalex.org/I454632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019916329","display_name":"Pascal Fassmeyer","orcid":null},"institutions":[{"id":"https://openalex.org/I113456305","display_name":"Leuphana University of L\u00fcneburg","ror":"https://ror.org/02w2y2t16","country_code":"DE","type":"education","lineage":["https://openalex.org/I113456305"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Pascal Fassmeyer","raw_affiliation_strings":["Leuphana University,Institute of Information Systems (IS),L\u00fcneburg,Germany"],"affiliations":[{"raw_affiliation_string":"Leuphana University,Institute of Information Systems (IS),L\u00fcneburg,Germany","institution_ids":["https://openalex.org/I113456305"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070293380","display_name":"Alexander Warnecke","orcid":"https://orcid.org/0009-0006-3617-3968"},"institutions":[{"id":"https://openalex.org/I454632","display_name":"Hella (Germany)","ror":"https://ror.org/02c5z9p32","country_code":"DE","type":"company","lineage":["https://openalex.org/I454632"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alexander Warnecke","raw_affiliation_strings":["HELLA GmbH & Co. KGaA,Lippstadt,Germany"],"affiliations":[{"raw_affiliation_string":"HELLA GmbH & Co. KGaA,Lippstadt,Germany","institution_ids":["https://openalex.org/I454632"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070338219","display_name":"Nicolas Meier","orcid":"https://orcid.org/0000-0003-2309-0726"},"institutions":[{"id":"https://openalex.org/I113456305","display_name":"Leuphana University of L\u00fcneburg","ror":"https://ror.org/02w2y2t16","country_code":"DE","type":"education","lineage":["https://openalex.org/I113456305"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nicolas Meier","raw_affiliation_strings":["Leuphana University,Institute of Product and Process Innovation (PPI),L\u00fcneburg,Germany"],"affiliations":[{"raw_affiliation_string":"Leuphana University,Institute of Product and Process Innovation (PPI),L\u00fcneburg,Germany","institution_ids":["https://openalex.org/I113456305"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011134963","display_name":"Jens Heger","orcid":"https://orcid.org/0000-0002-4863-5000"},"institutions":[{"id":"https://openalex.org/I113456305","display_name":"Leuphana University of L\u00fcneburg","ror":"https://ror.org/02w2y2t16","country_code":"DE","type":"education","lineage":["https://openalex.org/I113456305"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jens Heger","raw_affiliation_strings":["Leuphana University,Institute of Product and Process Innovation (PPI),L\u00fcneburg,Germany"],"affiliations":[{"raw_affiliation_string":"Leuphana University,Institute of Product and Process Innovation (PPI),L\u00fcneburg,Germany","institution_ids":["https://openalex.org/I113456305"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102939015","display_name":"Paul Drews","orcid":"https://orcid.org/0000-0002-9845-5024"},"institutions":[{"id":"https://openalex.org/I113456305","display_name":"Leuphana University of L\u00fcneburg","ror":"https://ror.org/02w2y2t16","country_code":"DE","type":"education","lineage":["https://openalex.org/I113456305"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Paul Drews","raw_affiliation_strings":["Leuphana University,Institute of Information Systems (IS),L\u00fcneburg,Germany"],"affiliations":[{"raw_affiliation_string":"Leuphana University,Institute of Information Systems (IS),L\u00fcneburg,Germany","institution_ids":["https://openalex.org/I113456305"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085924325","display_name":"Burkhardt Funk","orcid":"https://orcid.org/0000-0001-5855-2666"},"institutions":[{"id":"https://openalex.org/I113456305","display_name":"Leuphana University of L\u00fcneburg","ror":"https://ror.org/02w2y2t16","country_code":"DE","type":"education","lineage":["https://openalex.org/I113456305"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Burkhardt Funk","raw_affiliation_strings":["Leuphana University,Institute of Information Systems (IS),L\u00fcneburg,Germany"],"affiliations":[{"raw_affiliation_string":"Leuphana University,Institute of Information Systems (IS),L\u00fcneburg,Germany","institution_ids":["https://openalex.org/I113456305"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5071039206"],"corresponding_institution_ids":["https://openalex.org/I454632"],"apc_list":null,"apc_paid":null,"fwci":2.0439,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.85649865,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"5563","last_page":"5571"},"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/T11850","display_name":"Concrete Corrosion and Durability","score":0.9836999773979187,"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":0.9769999980926514,"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/damages","display_name":"Damages","score":0.7484622001647949},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7311384677886963},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6973437070846558},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6091563701629639},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5646398663520813},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5134835839271545},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.47760912775993347},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1224471926689148}],"concepts":[{"id":"https://openalex.org/C2777381055","wikidata":"https://www.wikidata.org/wiki/Q308922","display_name":"Damages","level":2,"score":0.7484622001647949},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7311384677886963},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6973437070846558},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6091563701629639},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5646398663520813},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5134835839271545},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.47760912775993347},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1224471926689148},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/bigdata50022.2020.9378245","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9378245","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.leuphana.de:openaire_cris_publications/286c5afa-a6fa-4515-baab-29e9f431f0ce","is_oa":false,"landing_page_url":"http://fis.leuphana.de/de/publications/detecting-various-road-damage-types-in-global-countries-utilizing-faster-rcnn(286c5afa-a6fa-4515-baab-29e9f431f0ce).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400489","display_name":"Multilingual Matters (Channel View Publications)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Kortmann, F, Talits, K, Fassmeyer, P, Warnecke, A, Meier, N, Heger, J, Drews, P & Funk, B 2020, Detecting Various Road Damage Types in Global Countries Utilizing Faster R-CNN. in X Wu, C Jermaine, L Xiong, X T Hu, O Kotevska, S Lu, W Xu, S Aluru, C Zhai, E Al-Masri, Z Chen & J Saltz (eds), Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020 : Proceedings, Dec 10 - Dec 13, 2020 \u2022 Virtual Event., 9378245, Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020, IEEE - Institute of Electrical and Electronics Engineers Inc., Piscataway, pp. 5563-5571, IEEE International Conference on Big Data - BigData2020, Atlanta, United States, 10.12.20. https://doi.org/10.1109/BigData50022.2020.9378245","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pure.leuphana.de:publications/286c5afa-a6fa-4515-baab-29e9f431f0ce","is_oa":false,"landing_page_url":"http://fox.leuphana.de/portal/de/publications/detecting-various-road-damage-types-in-global-countries-utilizing-faster-rcnn(286c5afa-a6fa-4515-baab-29e9f431f0ce).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400489","display_name":"Multilingual Matters (Channel View Publications)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Kortmann, F, Talits, K, Fassmeyer, P, Warnecke, A, Meier, N, Heger, J, Drews, P & Funk, B 2020, Detecting Various Road Damage Types in Global Countries Utilizing Faster R-CNN. in X Wu, C Jermaine, L Xiong, X T Hu, O Kotevska, S Lu, W Xu, S Aluru, C Zhai, E Al-Masri, Z Chen & J Saltz (eds), Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020 : Proceedings, Dec 10 - Dec 13, 2020 \u2022 Virtual Event., 9378245, Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020, IEEE - Institute of Electrical and Electronics Engineers Inc., Piscataway, pp. 5563-5571, IEEE International Conference on Big Data - BigData2020, Atlanta, United States, 10.12.20. https://doi.org/10.1109/BigData50022.2020.9378245","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5899999737739563,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W84478533","https://openalex.org/W173492641","https://openalex.org/W296385568","https://openalex.org/W561540616","https://openalex.org/W639708223","https://openalex.org/W1490369794","https://openalex.org/W1536680647","https://openalex.org/W1993711668","https://openalex.org/W2005868174","https://openalex.org/W2032070084","https://openalex.org/W2052914650","https://openalex.org/W2108598243","https://openalex.org/W2128880484","https://openalex.org/W2148254631","https://openalex.org/W2170581891","https://openalex.org/W2171940002","https://openalex.org/W2212765426","https://openalex.org/W2511065100","https://openalex.org/W2547950870","https://openalex.org/W2557728737","https://openalex.org/W2598457882","https://openalex.org/W2736635938","https://openalex.org/W2750751986","https://openalex.org/W2757455114","https://openalex.org/W2787765665","https://openalex.org/W2794081601","https://openalex.org/W2795083853","https://openalex.org/W2795287407","https://openalex.org/W2798987418","https://openalex.org/W2892084704","https://openalex.org/W2896959297","https://openalex.org/W2897619297","https://openalex.org/W2902432217","https://openalex.org/W2906714209","https://openalex.org/W2913580266","https://openalex.org/W2965435055","https://openalex.org/W2970332685","https://openalex.org/W2999271016","https://openalex.org/W3034059856","https://openalex.org/W3081878810","https://openalex.org/W3099452838","https://openalex.org/W3105757741","https://openalex.org/W3105842203","https://openalex.org/W4285719527","https://openalex.org/W4300274846","https://openalex.org/W4300599669","https://openalex.org/W6603383653","https://openalex.org/W6607112718","https://openalex.org/W6610557702","https://openalex.org/W6615563465","https://openalex.org/W6620707391","https://openalex.org/W6629374646","https://openalex.org/W6631782140","https://openalex.org/W6685091680","https://openalex.org/W6687993641","https://openalex.org/W6748134320","https://openalex.org/W6756085497","https://openalex.org/W6757575078","https://openalex.org/W6782530356"],"related_works":["https://openalex.org/W4205240985","https://openalex.org/W2314597598","https://openalex.org/W1527183021","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Road":[0],"damages":[1,41],"are":[2,31,129,140,152,156],"of":[3,26,36,39,54,73,105,118,127,145,163],"great":[4],"interest":[5,146],"for":[6,112,147,172],"federal":[7],"road":[8,40],"authorities":[9],"and":[10,21,24,65,79,131,154,174,179],"their":[11],"infrastructure":[12],"management":[13],"as":[14,16],"well":[15],"the":[17,33,49,60,80,88,98,103,106,116],"automated":[18],"driving":[19],"task":[20],"thus":[22],"safety":[23],"comfort":[25],"vehicle":[27],"occupants.":[28],"Therefore,":[29],"we":[30,101,155],"investigating":[32],"automatic":[34],"detection":[35],"different":[37],"types":[38],"by":[42,59,109],"images":[43,75],"from":[44,76],"a":[45,70],"front-facing":[46],"camera":[47],"in":[48],"vehicle.":[50],"The":[51],"data":[52],"basis":[53],"our":[55,119,137],"work":[56],"is":[57],"provided":[58],"\u2019IEEE":[61],"BigData":[62],"Cup":[63],"Challenge\u2019":[64],"its":[66],"dataset":[67],"\u2019RDD-2020\u2019":[68],"with":[69],"large":[71],"number":[72],"labelled":[74],"Japan,":[77],"India":[78],"Czech":[81],"Republic.":[82],"Our":[83,150],"Deep":[84,121],"Learning":[85,122],"approach":[86],"utilizes":[87],"pre-trained":[89],"Faster":[90],"Region":[91],"Based":[92],"Convolutional":[93],"Neural":[94],"Networks":[95],"(R-CNN).":[96],"In":[97],"first":[99],"step,":[100],"classify":[102],"destination":[104],"image":[107],"followed":[108],"expert":[110],"networks":[111],"each":[113],"region.":[114],"Between":[115],"explanation":[117],"applied":[120],"methodology,":[123],"some":[124],"remaining":[125],"sources":[126],"errors":[128],"discussed":[130],"further,":[132],"partly":[133],"failed":[134],"approaches":[135],"during":[136],"development":[138],"period":[139],"displayed,":[141],"which":[142],"could":[143],"be":[144],"future":[148],"work.":[149],"results":[151],"convincing":[153],"able":[157],"to":[158],"achieve":[159],"an":[160],"F1":[161],"score":[162],"0":[164],"<inf":[165],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[166],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">.</inf>":[167],"487":[168],"across":[169],"all":[170],"regions":[171],"longitudinal":[173],"lateral":[175],"cracks,":[176],"alligator":[177],"cracks":[178],"potholes.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-11T08:14:18.477133","created_date":"2025-10-10T00:00:00"}
