{"id":"https://openalex.org/W4323831449","doi":"https://doi.org/10.1109/iceic57457.2023.10049897","title":"Quality Assurance of Autonomous Vehicle\u2019s Sensor Data based on Classifying Level of Difficulty","display_name":"Quality Assurance of Autonomous Vehicle\u2019s Sensor Data based on Classifying Level of Difficulty","publication_year":2023,"publication_date":"2023-02-05","ids":{"openalex":"https://openalex.org/W4323831449","doi":"https://doi.org/10.1109/iceic57457.2023.10049897"},"language":"en","primary_location":{"id":"doi:10.1109/iceic57457.2023.10049897","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iceic57457.2023.10049897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","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/A5022309578","display_name":"Kana Kim","orcid":"https://orcid.org/0009-0001-8866-7162"},"institutions":[{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Kana Kim","raw_affiliation_strings":["INHA University,Department of Electrical and Computer Engineering,Incheon,South Korea","Department of Electrical and Computer Engineering, INHA University, Incheon, South Korea"],"affiliations":[{"raw_affiliation_string":"INHA University,Department of Electrical and Computer Engineering,Incheon,South Korea","institution_ids":["https://openalex.org/I191879574"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, INHA University, Incheon, South Korea","institution_ids":["https://openalex.org/I191879574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100712400","display_name":"Sangjun Lee","orcid":"https://orcid.org/0000-0001-8281-9084"},"institutions":[{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sangjun Lee","raw_affiliation_strings":["INHA University,Department of Electrical and Computer Engineering,Incheon,South Korea","Department of Electrical and Computer Engineering, INHA University, Incheon, South Korea"],"affiliations":[{"raw_affiliation_string":"INHA University,Department of Electrical and Computer Engineering,Incheon,South Korea","institution_ids":["https://openalex.org/I191879574"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, INHA University, Incheon, South Korea","institution_ids":["https://openalex.org/I191879574"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011602242","display_name":"Hakil Kim","orcid":"https://orcid.org/0000-0003-4232-3804"},"institutions":[{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hakil Kim","raw_affiliation_strings":["INHA University,Department of Electrical and Computer Engineering,Incheon,South Korea","Department of Electrical and Computer Engineering, INHA University, Incheon, South Korea"],"affiliations":[{"raw_affiliation_string":"INHA University,Department of Electrical and Computer Engineering,Incheon,South Korea","institution_ids":["https://openalex.org/I191879574"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, INHA University, Incheon, South Korea","institution_ids":["https://openalex.org/I191879574"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5022309578"],"corresponding_institution_ids":["https://openalex.org/I191879574"],"apc_list":null,"apc_paid":null,"fwci":0.1228,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.36038544,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9937999844551086,"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":0.9937999844551086,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.8065498471260071},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.6624760627746582},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6593899726867676},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6424344182014465},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5882889032363892},{"id":"https://openalex.org/keywords/quality-assurance","display_name":"Quality assurance","score":0.5592494010925293},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45758122205734253},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44150838255882263},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.43837612867355347},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10779228806495667}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8065498471260071},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.6624760627746582},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6593899726867676},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6424344182014465},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5882889032363892},{"id":"https://openalex.org/C106436119","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assurance","level":3,"score":0.5592494010925293},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45758122205734253},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44150838255882263},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.43837612867355347},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10779228806495667},{"id":"https://openalex.org/C2778618615","wikidata":"https://www.wikidata.org/wiki/Q4008393","display_name":"External quality assessment","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iceic57457.2023.10049897","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iceic57457.2023.10049897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Electronics, Information, and Communication (ICEIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321408","display_name":"Ministry of Education","ror":"https://ror.org/01p262204"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2150066425","https://openalex.org/W2979901318","https://openalex.org/W2989604896","https://openalex.org/W3018757597","https://openalex.org/W3034314779","https://openalex.org/W3118341329","https://openalex.org/W3138006590","https://openalex.org/W3180134609","https://openalex.org/W4214938700","https://openalex.org/W4221143303","https://openalex.org/W4221148469","https://openalex.org/W4224254821","https://openalex.org/W4312648273","https://openalex.org/W6777046832","https://openalex.org/W6787846440","https://openalex.org/W6792148081","https://openalex.org/W6809430089","https://openalex.org/W6809833057"],"related_works":["https://openalex.org/W4389096689","https://openalex.org/W4375867731","https://openalex.org/W11269544","https://openalex.org/W2371550624","https://openalex.org/W1481851336","https://openalex.org/W4299414935","https://openalex.org/W4380075502","https://openalex.org/W2135768893","https://openalex.org/W176219849","https://openalex.org/W3021414116"],"abstract_inverted_index":{"Self-driving":[0],"technology":[1],"using":[2],"deep":[3,60],"learning":[4,61],"has":[5],"achieved":[6],"a":[7,19,22,71],"lot":[8],"of":[9,17,25,51,59,77,87,93],"research":[10],"and":[11,28,41,56,96,112],"excellent":[12],"performance,":[13],"but":[14],"the":[15,38,48,52,75,84,91,105],"process":[16],"training":[18,49,85],"model":[20],"requires":[21],"large":[23],"amount":[24],"high-quality":[26],"data":[27,40,53],"it":[29],"is":[30,63],"still":[31],"difficult":[32],"for":[33,54,73],"humans":[34],"to":[35,99,115],"directly":[36],"inspect":[37],"processed":[39],"prove":[42],"its":[43,110],"quality.":[44],"In":[45],"addition,":[46],"classifying":[47],"difficulty":[50,86,122],"contextual":[55,101],"functional":[57],"separation":[58],"algorithm":[62],"also":[64,82],"an":[65],"important":[66],"challenge.":[67],"This":[68],"paper":[69],"proposes":[70],"framework":[72],"validating":[74],"quality":[76,111],"constructed":[78],"new":[79],"datasets,":[80,88],"which":[81],"classifies":[83],"thereby":[89],"ensuring":[90],"versatility":[92],"valid":[94],"datasets":[95,119],"introducing":[97],"strategies":[98],"classify":[100],"datasets.":[102],"Experiments":[103],"on":[104],"AI":[106],"hub":[107],"dataset":[108],"proved":[109],"were":[113],"able":[114],"be":[116],"reorganized":[117],"into":[118],"classified":[120],"by":[121],"level.":[123]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}
