{"id":"https://openalex.org/W2903941121","doi":"https://doi.org/10.1109/coase.2018.8560372","title":"How to Improve Deep Learning based Pavement Distress Detection while Minimizing Human Effort","display_name":"How to Improve Deep Learning based Pavement Distress Detection while Minimizing Human Effort","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2903941121","doi":"https://doi.org/10.1109/coase.2018.8560372","mag":"2903941121"},"language":"en","primary_location":{"id":"doi:10.1109/coase.2018.8560372","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2018.8560372","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 14th International Conference on Automation Science and Engineering (CASE)","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/A5077353311","display_name":"Daniel Seichter","orcid":"https://orcid.org/0000-0002-3828-2926"},"institutions":[{"id":"https://openalex.org/I119449181","display_name":"Technische Universit\u00e4t Ilmenau","ror":"https://ror.org/01weqhp73","country_code":"DE","type":"education","lineage":["https://openalex.org/I119449181"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Daniel Seichter","raw_affiliation_strings":["Neuroinformatics and Cognitive Robotics Lab, Ilmenau University of Technology, Ilmenau, Germany"],"affiliations":[{"raw_affiliation_string":"Neuroinformatics and Cognitive Robotics Lab, Ilmenau University of Technology, Ilmenau, Germany","institution_ids":["https://openalex.org/I119449181"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101851750","display_name":"Markus Eisenbach","orcid":"https://orcid.org/0000-0003-4951-622X"},"institutions":[{"id":"https://openalex.org/I119449181","display_name":"Technische Universit\u00e4t Ilmenau","ror":"https://ror.org/01weqhp73","country_code":"DE","type":"education","lineage":["https://openalex.org/I119449181"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Markus Eisenbach","raw_affiliation_strings":["Neuroinformatics and Cognitive Robotics Lab, Ilmenau University of Technology, Ilmenau, Germany"],"affiliations":[{"raw_affiliation_string":"Neuroinformatics and Cognitive Robotics Lab, Ilmenau University of Technology, Ilmenau, Germany","institution_ids":["https://openalex.org/I119449181"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091515853","display_name":"Ronny Stricker","orcid":null},"institutions":[{"id":"https://openalex.org/I119449181","display_name":"Technische Universit\u00e4t Ilmenau","ror":"https://ror.org/01weqhp73","country_code":"DE","type":"education","lineage":["https://openalex.org/I119449181"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ronny Stricker","raw_affiliation_strings":["Neuroinformatics and Cognitive Robotics Lab, Ilmenau University of Technology, Ilmenau, Germany"],"affiliations":[{"raw_affiliation_string":"Neuroinformatics and Cognitive Robotics Lab, Ilmenau University of Technology, Ilmenau, Germany","institution_ids":["https://openalex.org/I119449181"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075114390","display_name":"Horst\u2013Michael Gro\u00df","orcid":"https://orcid.org/0000-0001-9712-0225"},"institutions":[{"id":"https://openalex.org/I119449181","display_name":"Technische Universit\u00e4t Ilmenau","ror":"https://ror.org/01weqhp73","country_code":"DE","type":"education","lineage":["https://openalex.org/I119449181"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Horst-Michael Gross","raw_affiliation_strings":["Neuroinformatics and Cognitive Robotics Lab, Ilmenau University of Technology, Ilmenau, Germany"],"affiliations":[{"raw_affiliation_string":"Neuroinformatics and Cognitive Robotics Lab, Ilmenau University of Technology, Ilmenau, Germany","institution_ids":["https://openalex.org/I119449181"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5077353311"],"corresponding_institution_ids":["https://openalex.org/I119449181"],"apc_list":null,"apc_paid":null,"fwci":2.0194,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.8585769,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"63","last_page":"70"},"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/T10264","display_name":"Asphalt Pavement Performance Evaluation","score":0.9958000183105469,"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":0.9919000267982483,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7764220237731934},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6560880541801453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6238301396369934},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5628530979156494},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5535295605659485},{"id":"https://openalex.org/keywords/distress","display_name":"Distress","score":0.529882550239563},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5132002830505371},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.490956574678421},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.48837822675704956},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.48091551661491394},{"id":"https://openalex.org/keywords/human-in-the-loop","display_name":"Human-in-the-loop","score":0.4768834710121155},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.14488089084625244}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7764220237731934},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6560880541801453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6238301396369934},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5628530979156494},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5535295605659485},{"id":"https://openalex.org/C139265228","wikidata":"https://www.wikidata.org/wiki/Q5283089","display_name":"Distress","level":2,"score":0.529882550239563},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5132002830505371},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.490956574678421},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.48837822675704956},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.48091551661491394},{"id":"https://openalex.org/C2780626000","wikidata":"https://www.wikidata.org/wiki/Q5936775","display_name":"Human-in-the-loop","level":2,"score":0.4768834710121155},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.14488089084625244},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coase.2018.8560372","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2018.8560372","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 14th International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W582134693","https://openalex.org/W601603264","https://openalex.org/W1544877491","https://openalex.org/W1665214252","https://openalex.org/W1668163205","https://openalex.org/W1673923490","https://openalex.org/W1686810756","https://openalex.org/W1826234144","https://openalex.org/W1932198206","https://openalex.org/W1963782251","https://openalex.org/W1975672287","https://openalex.org/W1996283814","https://openalex.org/W2010308265","https://openalex.org/W2031946226","https://openalex.org/W2042616708","https://openalex.org/W2064694260","https://openalex.org/W2074925468","https://openalex.org/W2079054397","https://openalex.org/W2095705004","https://openalex.org/W2108677974","https://openalex.org/W2144801789","https://openalex.org/W2163605009","https://openalex.org/W2164411961","https://openalex.org/W2167433878","https://openalex.org/W2238987678","https://openalex.org/W2279236905","https://openalex.org/W2289283324","https://openalex.org/W2384495648","https://openalex.org/W2511065100","https://openalex.org/W2523358814","https://openalex.org/W2549143551","https://openalex.org/W2567299040","https://openalex.org/W2597787948","https://openalex.org/W2605307020","https://openalex.org/W2609002182","https://openalex.org/W2626967530","https://openalex.org/W2735386636","https://openalex.org/W2752013927","https://openalex.org/W2754487565","https://openalex.org/W2757455114","https://openalex.org/W2758574519","https://openalex.org/W2766871041","https://openalex.org/W2786174052","https://openalex.org/W2903158431","https://openalex.org/W2950942124","https://openalex.org/W2951266961","https://openalex.org/W2951595529","https://openalex.org/W2951786554","https://openalex.org/W2962835968","https://openalex.org/W2964059111","https://openalex.org/W2964153729","https://openalex.org/W2964212410","https://openalex.org/W6617145748","https://openalex.org/W6637242042","https://openalex.org/W6637373629","https://openalex.org/W6637426471","https://openalex.org/W6638836233","https://openalex.org/W6641318338","https://openalex.org/W6674330103","https://openalex.org/W6676315081","https://openalex.org/W6684191040","https://openalex.org/W6684809622","https://openalex.org/W6690138163","https://openalex.org/W6735374517","https://openalex.org/W6737135848","https://openalex.org/W6739651123","https://openalex.org/W6743806954","https://openalex.org/W6744265919","https://openalex.org/W6756615331","https://openalex.org/W6764214684"],"related_works":["https://openalex.org/W2361861616","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W2218034408","https://openalex.org/W2392921965","https://openalex.org/W2358755282","https://openalex.org/W2625833328","https://openalex.org/W1533177136","https://openalex.org/W4380994516","https://openalex.org/W2556260348"],"abstract_inverted_index":{"Aging":[0],"public":[1],"roads":[2],"need":[3],"frequent":[4],"inspections":[5,79],"in":[6,60,100],"order":[7],"to":[8,26,67,137,153],"guarantee":[9],"their":[10],"permanent":[11],"availability.":[12],"Using":[13],"deep":[14],"neural":[15],"networks,":[16],"the":[17,52,61,69,103,107,112,120,139,155],"process":[18],"of":[19,85,106,146],"detecting":[20],"pavement":[21],"distress":[22],"can":[23,54],"be":[24,55,151],"automated":[25],"a":[27,58,144],"high":[28],"degree.":[29],"However,":[30],"evaluations":[31],"show":[32,132],"that":[33,41,133,148],"they":[34],"perform":[35],"relatively":[36],"poor":[37],"on":[38],"road":[39,75],"images,":[40],"are":[42,80,135],"significantly":[43],"different":[44],"from":[45,77],"training":[46,70],"data.":[47],"Therefore,":[48],"we":[49,118,134],"show,":[50],"how":[51],"performance":[53,141],"improved":[56],"with":[57,142],"human":[59],"loop.":[62],"The":[63],"basic":[64],"idea":[65],"is":[66,87,111],"enlarge":[68],"dataset.":[71],"Luckily,":[72],"many":[73],"unlabeled":[74],"images":[76,108],"previous":[78],"available.":[81],"Nevertheless,":[82],"annotating":[83],"all":[84],"them":[86],"labor-intensive,":[88],"and":[89,123],"thus,":[90],"not":[91],"feasible.":[92],"Since":[93],"only":[94,143],"diverse":[95],"data":[96,147],"enable":[97],"an":[98],"increase":[99],"performance,":[101],"selecting":[102,127],"right":[104],"subregions":[105],"for":[109,126],"annotation":[110],"key.":[113],"To":[114],"achieve":[115],"this":[116],"goal,":[117],"model":[119],"network's":[121,140],"uncertainty":[122],"incorporate":[124],"it":[125],"new":[128],"subregions.":[129],"Our":[130],"experiments":[131],"able":[136],"improve":[138],"fraction":[145],"would":[149],"usually":[150],"necessary":[152],"get":[154],"same":[156],"performance.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
