{"id":"https://openalex.org/W3138078591","doi":"https://doi.org/10.1109/bigdata50022.2020.9377871","title":"FasterRCNN Monitoring of Road Damages: Competition and Deployment","display_name":"FasterRCNN Monitoring of Road Damages: Competition and Deployment","publication_year":2020,"publication_date":"2020-12-10","ids":{"openalex":"https://openalex.org/W3138078591","doi":"https://doi.org/10.1109/bigdata50022.2020.9377871","mag":"3138078591"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata50022.2020.9377871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9377871","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/A5102858504","display_name":"Tristan Hascoet","orcid":"https://orcid.org/0000-0002-8160-6076"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Tristan Hascoet","raw_affiliation_strings":["Graduate School of System Informatics, Kobe University, Kobe, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of System Informatics, Kobe University, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115594661","display_name":"Yihao Zhang","orcid":"https://orcid.org/0009-0008-6965-1975"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yihao Zhang","raw_affiliation_strings":["Graduate School of System Informatics, Kobe University, Kobe, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of System Informatics, Kobe University, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064748973","display_name":"Andreas Persch","orcid":null},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Andreas Persch","raw_affiliation_strings":["Graduate School of System Informatics, Kobe University, Kobe, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of System Informatics, Kobe University, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057295313","display_name":"Ryoichi Takashima","orcid":"https://orcid.org/0000-0002-9808-0250"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryoichi Takashima","raw_affiliation_strings":["Graduate School of System Informatics, Kobe University, Kobe, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of System Informatics, Kobe University, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009283470","display_name":"Tetsuya Takiguchi","orcid":"https://orcid.org/0000-0001-5005-7679"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuya Takiguchi","raw_affiliation_strings":["Graduate School of System Informatics, Kobe University, Kobe, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of System Informatics, Kobe University, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040766342","display_name":"Yasuo Ariki","orcid":"https://orcid.org/0000-0003-3473-2026"},"institutions":[{"id":"https://openalex.org/I65837984","display_name":"Kobe University","ror":"https://ror.org/03tgsfw79","country_code":"JP","type":"education","lineage":["https://openalex.org/I65837984"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yasuo Ariki","raw_affiliation_strings":["Graduate School of System Informatics, Kobe University, Kobe, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of System Informatics, Kobe University, Kobe, Japan","institution_ids":["https://openalex.org/I65837984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102858504"],"corresponding_institution_ids":["https://openalex.org/I65837984"],"apc_list":null,"apc_paid":null,"fwci":1.8506,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.84177782,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"5545","last_page":"5552"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":1.0,"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":1.0,"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":0.9933000206947327,"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"}},{"id":"https://openalex.org/T11850","display_name":"Concrete Corrosion and Durability","score":0.9721999764442444,"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/software-deployment","display_name":"Software deployment","score":0.7485135197639465},{"id":"https://openalex.org/keywords/damages","display_name":"Damages","score":0.7257211208343506},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6945925951004028},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.6510649919509888},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5977977514266968},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.49401241540908813},{"id":"https://openalex.org/keywords/track","display_name":"Track (disk drive)","score":0.49335232377052307},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.428633451461792},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4262129068374634},{"id":"https://openalex.org/keywords/competition","display_name":"Competition (biology)","score":0.42250558733940125},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.4205480217933655},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.33791518211364746},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2685810327529907},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23540696501731873},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.11841392517089844},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.09876909852027893}],"concepts":[{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.7485135197639465},{"id":"https://openalex.org/C2777381055","wikidata":"https://www.wikidata.org/wiki/Q308922","display_name":"Damages","level":2,"score":0.7257211208343506},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6945925951004028},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.6510649919509888},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5977977514266968},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.49401241540908813},{"id":"https://openalex.org/C89992363","wikidata":"https://www.wikidata.org/wiki/Q5961558","display_name":"Track (disk drive)","level":2,"score":0.49335232377052307},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.428633451461792},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4262129068374634},{"id":"https://openalex.org/C91306197","wikidata":"https://www.wikidata.org/wiki/Q45767","display_name":"Competition (biology)","level":2,"score":0.42250558733940125},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.4205480217933655},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.33791518211364746},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2685810327529907},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23540696501731873},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.11841392517089844},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.09876909852027893},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"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/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata50022.2020.9377871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata50022.2020.9377871","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"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6399999856948853}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1989750313","https://openalex.org/W2123789618","https://openalex.org/W2129516068","https://openalex.org/W2163605009","https://openalex.org/W2186887601","https://openalex.org/W2607987475","https://openalex.org/W2912350898","https://openalex.org/W2949979136","https://openalex.org/W2963150697","https://openalex.org/W2963472675","https://openalex.org/W3081878810","https://openalex.org/W3099452838","https://openalex.org/W3124942917","https://openalex.org/W4285719527","https://openalex.org/W4297825594","https://openalex.org/W6620707391","https://openalex.org/W6684191040","https://openalex.org/W6686748550","https://openalex.org/W6696497002","https://openalex.org/W6782530356"],"related_works":["https://openalex.org/W4205240985","https://openalex.org/W2314597598","https://openalex.org/W1527183021","https://openalex.org/W3124239800","https://openalex.org/W2365977737","https://openalex.org/W1577024311","https://openalex.org/W4387399630","https://openalex.org/W1494001639","https://openalex.org/W2370590861","https://openalex.org/W4252980592"],"abstract_inverted_index":{"Maintaining":[0],"aging":[1],"infrastructure":[2,22,86],"is":[3,24,101],"a":[4,133,145,157],"challenge":[5],"currently":[6],"faced":[7],"by":[8],"local":[9,158],"and":[10,34,108,115,165],"national":[11],"administrators":[12,82],"all":[13],"around":[14],"the":[15,30,36,66,92,141,162],"world.":[16],"An":[17],"important":[18],"prerequisite":[19],"for":[20,105],"efficient":[21],"maintenance":[23,87],"to":[25,54,75,80,112,129,140],"continuously":[26],"monitor":[27],"(i.e.,":[28],"quantify":[29],"level":[31],"of":[32,38,57,68],"safety":[33],"reliability)":[35],"state":[37],"very":[39],"large":[40],"structures.":[41],"Meanwhile,":[42],"computer":[43,109],"vision":[44,69,110],"has":[45],"made":[46],"impressive":[47],"strides":[48],"in":[49,83,152],"recent":[50],"years,":[51],"mainly":[52],"due":[53],"successful":[55],"applications":[56],"deep":[58,106],"learning":[59,107],"models.":[60],"These":[61],"novel":[62],"progresses":[63],"are":[64],"allowing":[65],"automation":[67],"tasks,":[70],"which":[71],"were":[72],"previously":[73],"impossible":[74],"automate,":[76],"offering":[77],"promising":[78],"possibilities":[79],"assist":[81],"optimizing":[84],"their":[85],"operations.":[88],"In":[89,132,144],"this":[90],"context,":[91],"IEEE":[93],"2020":[94],"global":[95],"Road":[96],"Damage":[97],"Detection":[98],"(RDD)":[99],"Challenge":[100],"giving":[102],"an":[103],"opportunity":[104],"researchers":[111],"get":[113],"involved":[114],"help":[116],"accurately":[117],"track":[118],"pavement":[119],"damages":[120],"on":[121,156],"road":[122,159],"networks.":[123],"This":[124],"paper":[125],"proposes":[126],"two":[127],"contributions":[128],"that":[130],"topic:":[131],"first":[134],"part,":[135,147],"we":[136,148],"detail":[137],"our":[138,150,154],"solution":[139],"RDD":[142],"Challenge.":[143],"second":[146],"present":[149],"efforts":[151],"deploying":[153],"model":[155],"network,":[160],"explaining":[161],"proposed":[163],"methodology":[164],"encountered":[166],"challenges.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
