{"id":"https://openalex.org/W4308080249","doi":"https://doi.org/10.1109/itsc55140.2022.9921936","title":"Did you Wash the Car?: Robust Car Wash Inspection System in a Large-scale Car Sharing Platform","display_name":"Did you Wash the Car?: Robust Car Wash Inspection System in a Large-scale Car Sharing Platform","publication_year":2022,"publication_date":"2022-10-08","ids":{"openalex":"https://openalex.org/W4308080249","doi":"https://doi.org/10.1109/itsc55140.2022.9921936"},"language":"en","primary_location":{"id":"doi:10.1109/itsc55140.2022.9921936","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc55140.2022.9921936","pdf_url":null,"source":{"id":"https://openalex.org/S4363607737","display_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","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/A5112646678","display_name":"Hyunhee Chung","orcid":null},"institutions":[{"id":"https://openalex.org/I4210097304","display_name":"State Oil Company of Azerbaijan Republic (Azerbaijan)","ror":"https://ror.org/00tcejj11","country_code":"AZ","type":"company","lineage":["https://openalex.org/I4210097304"]}],"countries":["AZ"],"is_corresponding":true,"raw_author_name":"Hyunhee Chung","raw_affiliation_strings":["SOCAR AI Research"],"affiliations":[{"raw_affiliation_string":"SOCAR AI Research","institution_ids":["https://openalex.org/I4210097304"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108853443","display_name":"Kyung Ho Park","orcid":null},"institutions":[{"id":"https://openalex.org/I4210097304","display_name":"State Oil Company of Azerbaijan Republic (Azerbaijan)","ror":"https://ror.org/00tcejj11","country_code":"AZ","type":"company","lineage":["https://openalex.org/I4210097304"]}],"countries":["AZ"],"is_corresponding":false,"raw_author_name":"Kyung Ho Park","raw_affiliation_strings":["SOCAR AI Research"],"affiliations":[{"raw_affiliation_string":"SOCAR AI Research","institution_ids":["https://openalex.org/I4210097304"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5112646678"],"corresponding_institution_ids":["https://openalex.org/I4210097304"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10173963,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"3441","last_page":"3448"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9968000054359436,"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/upload","display_name":"Upload","score":0.7663629651069641},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6250841617584229},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5805241465568542},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.494370698928833},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.48638060688972473},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4199827015399933},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3298152983188629},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2747690677642822},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.16354531049728394}],"concepts":[{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.7663629651069641},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6250841617584229},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5805241465568542},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.494370698928833},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.48638060688972473},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4199827015399933},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3298152983188629},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2747690677642822},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.16354531049728394},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc55140.2022.9921936","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc55140.2022.9921936","pdf_url":null,"source":{"id":"https://openalex.org/S4363607737","display_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1958236864","https://openalex.org/W2012592962","https://openalex.org/W2046589280","https://openalex.org/W2108598243","https://openalex.org/W2168809519","https://openalex.org/W2183341477","https://openalex.org/W2183852008","https://openalex.org/W2194775991","https://openalex.org/W2531044305","https://openalex.org/W2531327146","https://openalex.org/W2783365216","https://openalex.org/W2804532080","https://openalex.org/W2867167548","https://openalex.org/W2901114541","https://openalex.org/W2904509905","https://openalex.org/W2951019013","https://openalex.org/W2963149653","https://openalex.org/W2963693742","https://openalex.org/W2972321833","https://openalex.org/W3095099350","https://openalex.org/W3099847344","https://openalex.org/W3106653142","https://openalex.org/W3109894131","https://openalex.org/W3168325326","https://openalex.org/W3173736705","https://openalex.org/W3177034761","https://openalex.org/W3201794222","https://openalex.org/W4214911013","https://openalex.org/W4286905471","https://openalex.org/W4297798436","https://openalex.org/W6637373629","https://openalex.org/W6686342999","https://openalex.org/W6728622933","https://openalex.org/W6728697212","https://openalex.org/W6732696085","https://openalex.org/W6745891213","https://openalex.org/W6752760542","https://openalex.org/W6756988212","https://openalex.org/W6776022854","https://openalex.org/W6802159084"],"related_works":["https://openalex.org/W2944823289","https://openalex.org/W2003209439","https://openalex.org/W4321854979","https://openalex.org/W3037018281","https://openalex.org/W2358319515","https://openalex.org/W2972592048","https://openalex.org/W4312214821","https://openalex.org/W2497626292","https://openalex.org/W2390344072","https://openalex.org/W3089066832"],"abstract_inverted_index":{"In":[0,18],"the":[1,42,46,52,64,67,74,83,103,114,146,169,202,206,209,221,224,242,252,259,266,300],"era":[2],"of":[3,26,49,120,153,186,208,217,223,304],"intelligent":[4],"transportation,":[5],"numerous":[6],"companies":[7],"started":[8,39],"to":[9,13,40,108,141,179,201,317],"utilize":[10],"various":[11],"technologies":[12],"improve":[14],"their":[15,23],"operational":[16,101,147],"procedures.":[17,148],"large-scale":[19],"car-sharing":[20],"platforms,":[21],"especially,":[22],"traditional":[24],"operations":[25],"maintaining":[27],"a":[28,60,93,117,129,133,174,187,191,215,231,270,284,309],"car's":[29],"hygiene":[30],"quality":[31],"required":[32],"much":[33,235,290],"human":[34,75,104,143,167,319],"engagement.":[35],"These":[36],"platforms":[37],"recently":[38],"let":[41],"gig":[43,84],"workers":[44,65,85],"visit":[45],"station":[47],"instead":[48],"them,":[50],"wash":[51,136,312],"car":[53,68,94,135,188,311],"if":[54],"it":[55,97,182,247],"is":[56,234,276],"dirty,":[57],"and":[58,86,158],"send":[59],"photo":[61],"proving":[62],"whether":[63,181],"washed":[66],"or":[69],"not.":[70],"Without":[71],"physical":[72],"visits,":[73],"inspectors":[76,105,144],"check":[77,109],"these":[78],"accumulated":[79],"images":[80],"uploaded":[81,112],"by":[82,113,165],"give":[87],"rewards":[88],"when":[89],"they":[90],"successfully":[91],"perform":[92],"wash.":[95,189],"While":[96],"provided":[98],"efficiency":[99],"in":[100,145,238,278,293],"procedures,":[102],"still":[106],"had":[107],"every":[110],"image":[111,156,170,239,243],"workers,":[115],"creating":[116],"particular":[118],"amount":[119],"resource":[121],"consumption.":[122],"To":[123],"resolve":[124],"this":[125],"problem,":[126],"we":[127,228,256,307],"propose":[128],"positional":[130],"study":[131,213],"on":[132],"robust":[134,310],"inspection":[137,210,313],"system":[138,151,314],"that":[139,198,230],"aims":[140],"alternate":[142,318],"The":[149],"presented":[150],"consists":[152],"two":[154],"modules:":[155],"recognition":[157,171,240],"rejection":[159,192,260,271],"module.":[160],"Given":[161],"preset":[162],"labels":[163],"established":[164],"professional":[166],"inspectors,":[168],"module":[172,193,272,285],"classifies":[173],"given":[175],"samples'":[176],"belonging":[177],"label":[178,274],"identify":[180],"provides":[183],"sufficient":[184],"evidence":[185],"Moreover,":[190],"recognizes":[194],"out-of-distribution":[195],"(OOD)":[196],"samples":[197,204],"are":[199],"irrelevant":[200],"training":[203,253],"for":[205],"robustness":[207],"system.":[211,226],"Our":[212],"illustrates":[214],"series":[216],"takeaways":[218],"throughout":[219],"examining":[220],"effectiveness":[222],"proposed":[225],"First,":[227],"discovered":[229],"supervised":[232],"classifier":[233],"more":[236,291],"advantageous":[237],"than":[241],"retrieval":[244],"approach":[245],"as":[246],"learns":[248],"better":[249],"representation":[250],"regarding":[251],"samples.":[254,297],"Second,":[255],"figured":[257],"out":[258],"module's":[261],"performance":[262],"varies":[263],"along":[264],"with":[265,273],"OOD":[267,281,296],"sample's":[268],"type;":[269],"smoothing":[275,288],"beneficial":[277],"identifying":[279],"fine-grained":[280],"samples,":[282],"while":[283],"without":[286],"any":[287],"was":[289],"effective":[292],"rejecting":[294],"coarse-grained":[295],"By":[298],"resolving":[299],"illustrated":[301],"improvement":[302],"avenues":[303],"our":[305],"study,":[306],"expect":[308],"can":[315],"contribute":[316],"inspector's":[320],"role":[321],"shortly.":[322]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}