{"id":"https://openalex.org/W4389989250","doi":"https://doi.org/10.1109/ist59124.2023.10355734","title":"Quality Assessment of Image Dataset for Autonomous Driving","display_name":"Quality Assessment of Image Dataset for Autonomous Driving","publication_year":2023,"publication_date":"2023-10-17","ids":{"openalex":"https://openalex.org/W4389989250","doi":"https://doi.org/10.1109/ist59124.2023.10355734"},"language":"en","primary_location":{"id":"doi:10.1109/ist59124.2023.10355734","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ist59124.2023.10355734","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Imaging Systems and Techniques (IST)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100328590","display_name":"Xingyu Li","orcid":"https://orcid.org/0009-0009-3662-0627"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingyu Li","raw_affiliation_strings":["Tsinghua University,Department of Automation,China","Department of Automation, Tsinghua University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Automation,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Automation, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101793599","display_name":"Yuang Zhang","orcid":"https://orcid.org/0000-0001-6598-7158"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuang Zhang","raw_affiliation_strings":["Tsinghua University,Department of Automation,China","Department of Automation, Tsinghua University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Automation,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Automation, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045220916","display_name":"Yunda Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunda Shi","raw_affiliation_strings":["Tsinghua University,Department of Automation,China","Department of Automation, Tsinghua University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Automation,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Automation, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004145814","display_name":"He Zhu","orcid":"https://orcid.org/0000-0001-9606-150X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Zhu","raw_affiliation_strings":["Tsinghua University,Department of Automation,China","Department of Automation, Tsinghua University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Automation,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Automation, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101570773","display_name":"Jianming Hu","orcid":"https://orcid.org/0000-0001-8065-7309"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianming Hu","raw_affiliation_strings":["Tsinghua University,Department of Automation,China","Department of Automation, Tsinghua University, China","Tsinghua National Laboratory for Information Science and Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Automation,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Automation, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013482491","display_name":"Lihui Peng","orcid":"https://orcid.org/0000-0001-7363-6374"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihui Peng","raw_affiliation_strings":["Tsinghua University,Department of Automation,China","Tsinghua National Laboratory for Information Science and Technology, China","Department of Automation, Tsinghua University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Automation,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Tsinghua National Laboratory for Information Science and Technology, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Automation, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.9214000105857849,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11361","display_name":"Digital Radiography and Breast Imaging","score":0.9214000105857849,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9079999923706055,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/computer-science","display_name":"Computer science","score":0.7910193204879761},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.7295658588409424},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.6684086322784424},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.592491626739502},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5549778342247009},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5492864847183228},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5323600769042969},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5303590893745422},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.45691025257110596},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.44161540269851685},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39478302001953125},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1013837456703186},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07369780540466309}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7910193204879761},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7295658588409424},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.6684086322784424},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.592491626739502},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5549778342247009},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5492864847183228},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5323600769042969},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5303590893745422},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.45691025257110596},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.44161540269851685},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39478302001953125},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1013837456703186},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07369780540466309},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ist59124.2023.10355734","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ist59124.2023.10355734","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Imaging Systems and Techniques (IST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.49000000953674316,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1498909268","https://openalex.org/W1559875088","https://openalex.org/W1577818368","https://openalex.org/W1586568292","https://openalex.org/W1972006393","https://openalex.org/W1974013408","https://openalex.org/W1990473129","https://openalex.org/W2008967086","https://openalex.org/W2012301363","https://openalex.org/W2034400748","https://openalex.org/W2059696620","https://openalex.org/W2064076387","https://openalex.org/W2068376489","https://openalex.org/W2068972390","https://openalex.org/W2076452041","https://openalex.org/W2091505087","https://openalex.org/W2092184729","https://openalex.org/W2113508301","https://openalex.org/W2115579991","https://openalex.org/W2128728535","https://openalex.org/W2129763896","https://openalex.org/W2133665775","https://openalex.org/W2150066425","https://openalex.org/W2324971623","https://openalex.org/W2476716989","https://openalex.org/W2515087255","https://openalex.org/W2783479181","https://openalex.org/W2919234133","https://openalex.org/W2953303875","https://openalex.org/W2989219518","https://openalex.org/W3083443847","https://openalex.org/W3209102426","https://openalex.org/W3210514413","https://openalex.org/W4283066310","https://openalex.org/W4292121845","https://openalex.org/W6684191040","https://openalex.org/W6701249984","https://openalex.org/W6745935785"],"related_works":["https://openalex.org/W2959160600","https://openalex.org/W4324301570","https://openalex.org/W2119956050","https://openalex.org/W2142113611","https://openalex.org/W2056065776","https://openalex.org/W2045629210","https://openalex.org/W2017927971","https://openalex.org/W2077610253","https://openalex.org/W3093339210","https://openalex.org/W3015037427"],"abstract_inverted_index":{"Image":[0],"is":[1,182],"one":[2],"of":[3,31,65,101,130,160,196,200],"the":[4,26,32,46,63,66,99,128,131,135,145,152,157,187,192,198],"vital":[5],"data":[6,79],"sources":[7],"for":[8,104,140],"autonomous":[9,27,105,169],"driving,":[10,106],"which":[11,68,184],"plays":[12],"an":[13,84],"important":[14],"role":[15],"in":[16,25,59,62],"environment":[17],"perception,":[18],"path":[19],"planning":[20],"and":[21,34,38,56,86,115,137,143,155,174,179,191],"decision":[22],"making.":[23],"And":[24],"driving":[28,170],"domain,":[29],"most":[30],"algorithm":[33],"methods":[35],"are":[36,124,195],"established":[37],"trained":[39],"by":[40],"substantial":[41],"images.":[42],"However,":[43],"In":[44,89,118],"practice,":[45],"dataset":[47,103],"may":[48],"have":[49],"problems":[50],"such":[51],"as":[52],"no":[53],"labeling,":[54],"noise,":[55],"incompleteness,":[57],"resulting":[58],"serious":[60,73],"errors":[61],"test":[64],"data,":[67],"will":[69],"cause":[70],"catastrophe":[71],"or":[72],"economic":[74],"losses.":[75],"As":[76],"a":[77,94,161,201],"result,":[78],"quality":[80,100,129,159,199],"assessment":[81],"has":[82],"become":[83],"indispensable":[85],"critical":[87],"link.":[88],"this":[90],"study,":[91],"we":[92],"propose":[93],"framework":[95,190],"to":[96,126,150,177],"comprehensively":[97],"evaluate":[98],"image":[102,171],"from":[107],"three":[108,167],"aspects":[109],"including":[110],"form":[111],"quality,":[112,114],"content":[113],"utility":[116],"quality.":[117],"addition,":[119],"11":[120],"further":[121],"metric":[122,193],"indicators":[123,194],"proposed":[125,188],"quantify":[127],"dataset.":[132,162,202],"We":[133],"provide":[134],"definition":[136],"scoring":[138],"criteria":[139],"each":[141],"indicator,":[142],"use":[144],"Network":[146],"Analysis":[147],"Process":[148],"(ANP)":[149],"obtain":[151],"indicator":[153],"weights":[154],"analyze":[156],"overall":[158],"A":[163],"case":[164],"study":[165],"on":[166],"typical":[168],"datasets(KITTI,":[172],"Pandaset":[173],"SHIFT)":[175],"related":[176],"real":[178],"simulated":[180],"scenes":[181],"conducted,":[183],"demonstrates":[185],"that":[186],"evaluation":[189],"reflecting":[197]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-25T15:57:00.446498","created_date":"2025-10-10T00:00:00"}
