{"id":"https://openalex.org/W4312593619","doi":"https://doi.org/10.1109/tii.2022.3224958","title":"Automatic Model-Based Dataset Generation for High-Level Vision Tasks of Autonomous Driving in Haze Weather","display_name":"Automatic Model-Based Dataset Generation for High-Level Vision Tasks of Autonomous Driving in Haze Weather","publication_year":2022,"publication_date":"2022-11-28","ids":{"openalex":"https://openalex.org/W4312593619","doi":"https://doi.org/10.1109/tii.2022.3224958"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2022.3224958","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3224958","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-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/A5100785858","display_name":"Meiqi Wang","orcid":"https://orcid.org/0000-0001-9553-3640"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meiqi Wang","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-9553-3640","affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053581880","display_name":"Tianqi Su","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianqi Su","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-9463-659X","affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100647469","display_name":"Siyi Chen","orcid":"https://orcid.org/0000-0001-9347-1386"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyi Chen","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-9347-1386","affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070884682","display_name":"Wenhan Yang","orcid":"https://orcid.org/0000-0002-1692-0069"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhan Yang","raw_affiliation_strings":["Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-1692-0069","affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100761525","display_name":"Jiaying Liu","orcid":"https://orcid.org/0000-0002-0468-9576"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaying Liu","raw_affiliation_strings":["Wangxuan Institute of Computer Technology, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0468-9576","affiliations":[{"raw_affiliation_string":"Wangxuan Institute of Computer Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100696999","display_name":"Zhongfeng Wang","orcid":"https://orcid.org/0000-0002-7227-4786"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongfeng Wang","raw_affiliation_strings":["School of Electronic Science and Engineering, Nanjing University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-7227-4786","affiliations":[{"raw_affiliation_string":"School of Electronic Science and Engineering, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9747,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.74910186,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"19","issue":"8","first_page":"9071","last_page":"9081"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9998999834060669,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9983000159263611,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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":0.8318920135498047},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8058193922042847},{"id":"https://openalex.org/keywords/haze","display_name":"Haze","score":0.7470524311065674},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6486672163009644},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5414665937423706},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5250111222267151},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4767763912677765},{"id":"https://openalex.org/keywords/adverse-weather","display_name":"Adverse weather","score":0.4645516574382782},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.43620944023132324},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4175497889518738},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.355354905128479},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.3102303445339203}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8318920135498047},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8058193922042847},{"id":"https://openalex.org/C79974267","wikidata":"https://www.wikidata.org/wiki/Q643546","display_name":"Haze","level":2,"score":0.7470524311065674},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6486672163009644},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5414665937423706},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5250111222267151},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4767763912677765},{"id":"https://openalex.org/C2992147540","wikidata":"https://www.wikidata.org/wiki/Q1277161","display_name":"Adverse weather","level":2,"score":0.4645516574382782},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.43620944023132324},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4175497889518738},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.355354905128479},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3102303445339203},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2022.3224958","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3224958","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2250357272","display_name":null,"funder_award_id":"62174084","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4941541027","display_name":null,"funder_award_id":"62104097","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"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":46,"referenced_works":["https://openalex.org/W2121880036","https://openalex.org/W2170607218","https://openalex.org/W2340897893","https://openalex.org/W2467604901","https://openalex.org/W2502312327","https://openalex.org/W2748021867","https://openalex.org/W2765178306","https://openalex.org/W2765741757","https://openalex.org/W2901613255","https://openalex.org/W2955547856","https://openalex.org/W2962793481","https://openalex.org/W2962947361","https://openalex.org/W2963800363","https://openalex.org/W2963928582","https://openalex.org/W2964115968","https://openalex.org/W2964309882","https://openalex.org/W2969435257","https://openalex.org/W2971074500","https://openalex.org/W2995348112","https://openalex.org/W2998249728","https://openalex.org/W3000538487","https://openalex.org/W3003610093","https://openalex.org/W3012816763","https://openalex.org/W3034543232","https://openalex.org/W3034839660","https://openalex.org/W3037940725","https://openalex.org/W3106753828","https://openalex.org/W3109202794","https://openalex.org/W3121281282","https://openalex.org/W3122412340","https://openalex.org/W3131497608","https://openalex.org/W3134116831","https://openalex.org/W3159793764","https://openalex.org/W3195468209","https://openalex.org/W3210137888","https://openalex.org/W4214593142","https://openalex.org/W4292828330","https://openalex.org/W6632048992","https://openalex.org/W6720208624","https://openalex.org/W6724804524","https://openalex.org/W6734074887","https://openalex.org/W6748481559","https://openalex.org/W6762931180","https://openalex.org/W6790872619","https://openalex.org/W6794845897","https://openalex.org/W6810124089"],"related_works":["https://openalex.org/W2983142544","https://openalex.org/W2891059443","https://openalex.org/W4281663961","https://openalex.org/W3208888551","https://openalex.org/W4313561566","https://openalex.org/W3208386644","https://openalex.org/W4220682630","https://openalex.org/W3181622257","https://openalex.org/W4389832810","https://openalex.org/W3133533225"],"abstract_inverted_index":{"Improving":[0],"the":[1,52,56,85,92,113,118,125,130,145,177,186,192,196,201],"performance":[2,199],"of":[3],"high-level":[4,28,98,156],"computer":[5],"vision":[6,99],"tasks":[7,29,157],"in":[8,30,84,155],"adverse":[9],"weather":[10,32],"(e.g.,":[11],"haze)":[12],"is":[13,106,171],"highly":[14],"critical":[15],"for":[16,26,108,185],"autonomous":[17],"driving":[18],"safety.":[19],"However,":[20],"collecting":[21],"and":[22,35,55,124,139,162],"annotating":[23],"training":[24,144],"sets":[25],"various":[27],"haze":[31,45,150,204],"are":[33],"expensive":[34],"time-consuming.":[36],"To":[37,89],"address":[38],"this":[39],"issue,":[40],"we":[41],"propose":[42],"a":[43,69,102,182],"novel":[44],"generation":[46],"model":[47,133,146],"called":[48],"HazeGEN":[49,67,109],"by":[50],"coupling":[51],"variational":[53],"autoencoder":[54],"generative":[57],"adversarial":[58],"network":[59],"to":[60,110,173,200],"automatically":[61],"generate":[62],"annotated":[63],"datasets.":[64],"The":[65],"proposed":[66],"leverages":[68],"shared":[70],"latent":[71],"space":[72],"assumption":[73],"based":[74],"on":[75,206],"an":[76],"optimized":[77],"encoder\u2013decoder":[78],"architecture,":[79],"which":[80],"guarantees":[81],"high":[82],"fidelity":[83],"cross-domain":[86],"image":[87,94],"translations.":[88],"ensure":[90],"that":[91,143,191],"generated":[93,128,149,193],"can":[95,180],"truly":[96],"facilitate":[97],"task":[100],"performance,":[101],"semisupervised":[103],"learning":[104],"strategy":[105],"developed":[107,178],"efficiently":[111],"learn":[112],"useful":[114],"knowledge":[115],"from":[116],"both":[117],"real-world":[119,202],"images":[120,127],"(with":[121,134],"unsupervised":[122],"losses)":[123],"synthetic":[126],"following":[129],"atmosphere":[131],"scattering":[132],"supervised":[135],"losses).":[136],"Extensive":[137],"experiments":[138],"ablation":[140],"studies":[141],"demonstrate":[142],"with":[147,212],"our":[148],"dataset":[151,179,194,205],"greatly":[152],"improves":[153],"accuracy":[154],"such":[158],"as":[159],"semantic":[160],"segmentation":[161],"object":[163],"detection.":[164],"Furthermore,":[165],"one":[166],"important":[167],"but":[168],"under-exploited":[169],"issue":[170],"investigated":[172],"find":[174],"out":[175],"whether":[176],"be":[181],"good":[183],"substitute":[184],"real":[187],"ones.":[188],"Results":[189],"show":[190],"has":[195],"most":[197],"similar":[198],"collected":[203],"multiple":[207],"challenging":[208],"industrial":[209],"scenarios":[210],"compared":[211],"prior":[213],"works.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
