{"id":"https://openalex.org/W4285093982","doi":"https://doi.org/10.3390/s22145210","title":"Foggy Lane Dataset Synthesized from Monocular Images for Lane Detection Algorithms","display_name":"Foggy Lane Dataset Synthesized from Monocular Images for Lane Detection Algorithms","publication_year":2022,"publication_date":"2022-07-12","ids":{"openalex":"https://openalex.org/W4285093982","doi":"https://doi.org/10.3390/s22145210","pmid":"https://pubmed.ncbi.nlm.nih.gov/35890889"},"language":"en","primary_location":{"id":"doi:10.3390/s22145210","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22145210","pdf_url":"https://www.mdpi.com/1424-8220/22/14/5210/pdf?version=1657620734","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/14/5210/pdf?version=1657620734","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031328221","display_name":"Xiangyu Nie","orcid":"https://orcid.org/0000-0003-2753-3598"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyu Nie","raw_affiliation_strings":["China-UK Low Carbon College, Shanghai Jiao Tong University, Shanghai 201306, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China-UK Low Carbon College, Shanghai Jiao Tong University, Shanghai 201306, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029729168","display_name":"Zhejun Xu","orcid":"https://orcid.org/0000-0002-1933-6300"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhejun Xu","raw_affiliation_strings":["China-UK Low Carbon College, Shanghai Jiao Tong University, Shanghai 201306, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China-UK Low Carbon College, Shanghai Jiao Tong University, Shanghai 201306, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100638653","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0002-1614-1786"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["China-UK Low Carbon College, Shanghai Jiao Tong University, Shanghai 201306, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China-UK Low Carbon College, Shanghai Jiao Tong University, Shanghai 201306, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029644534","display_name":"Xue Dong","orcid":"https://orcid.org/0000-0003-4790-8975"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xue Dong","raw_affiliation_strings":["China-UK Low Carbon College, Shanghai Jiao Tong University, Shanghai 201306, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China-UK Low Carbon College, Shanghai Jiao Tong University, Shanghai 201306, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100432426","display_name":"Ning Liu","orcid":"https://orcid.org/0000-0003-4943-6625"},"institutions":[{"id":"https://openalex.org/I4210093653","display_name":"Midea Group (China)","ror":"https://ror.org/006fm2278","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210093653"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Liu","raw_affiliation_strings":["Midea Group, Shanghai 201702, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Midea Group, Shanghai 201702, China","institution_ids":["https://openalex.org/I4210093653"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100706889","display_name":"Yuanfeng Chen","orcid":"https://orcid.org/0000-0002-7756-5902"},"institutions":[{"id":"https://openalex.org/I4210093653","display_name":"Midea Group (China)","ror":"https://ror.org/006fm2278","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210093653"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanfeng Chen","raw_affiliation_strings":["Midea Group, Shanghai 201702, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Midea Group, Shanghai 201702, China","institution_ids":["https://openalex.org/I4210093653"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5029644534"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.9406,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.72379049,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"22","issue":"14","first_page":"5210","last_page":"5210"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.998199999332428,"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"}},"topics":[{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.998199999332428,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9958999752998352,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9947999715805054,"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":0.7764877080917358},{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.6804874539375305},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.672601580619812},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.6469783186912537},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4924801290035248},{"id":"https://openalex.org/keywords/visibility","display_name":"Visibility","score":0.4417882561683655},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4010714292526245},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3545921742916107},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.06949332356452942},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.06744033098220825}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7764877080917358},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.6804874539375305},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.672601580619812},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.6469783186912537},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4924801290035248},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.4417882561683655},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4010714292526245},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3545921742916107},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.06949332356452942},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.06744033098220825},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000063","descriptor_name":"Accidents, Traffic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000063","descriptor_name":"Accidents, Traffic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000063","descriptor_name":"Accidents, Traffic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000063","descriptor_name":"Accidents, Traffic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001334","descriptor_name":"Automobile Driving","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001334","descriptor_name":"Automobile Driving","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001334","descriptor_name":"Automobile Driving","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001334","descriptor_name":"Automobile Driving","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003625","descriptor_name":"Data Collection","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003625","descriptor_name":"Data Collection","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003625","descriptor_name":"Data Collection","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003625","descriptor_name":"Data Collection","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014887","descriptor_name":"Weather","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014887","descriptor_name":"Weather","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014887","descriptor_name":"Weather","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014887","descriptor_name":"Weather","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22145210","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22145210","pdf_url":"https://www.mdpi.com/1424-8220/22/14/5210/pdf?version=1657620734","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:35890889","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35890889","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:b967f023565e44979bcda904e519e835","is_oa":true,"landing_page_url":"https://doaj.org/article/b967f023565e44979bcda904e519e835","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 14, p 5210 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/14/5210/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22145210","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 22; Issue 14; Pages: 5210","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9317608","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9317608","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22145210","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22145210","pdf_url":"https://www.mdpi.com/1424-8220/22/14/5210/pdf?version=1657620734","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5400000214576721,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1547723326","display_name":null,"funder_award_id":"19YF1423400","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3621264326","display_name":null,"funder_award_id":"2016M600313","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7196895039","display_name":null,"funder_award_id":"52006137","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G84041826","display_name":null,"funder_award_id":"No. 52006137","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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285093982.pdf","grobid_xml":"https://content.openalex.org/works/W4285093982.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1829670322","https://openalex.org/W1971693194","https://openalex.org/W1990592195","https://openalex.org/W2003709967","https://openalex.org/W2028763589","https://openalex.org/W2028990532","https://openalex.org/W2095543923","https://openalex.org/W2099015219","https://openalex.org/W2118545852","https://openalex.org/W2128254161","https://openalex.org/W2150066425","https://openalex.org/W2156936307","https://openalex.org/W2256362396","https://openalex.org/W2277132981","https://openalex.org/W2300779272","https://openalex.org/W2340897893","https://openalex.org/W2406067508","https://openalex.org/W2467473805","https://openalex.org/W2519481857","https://openalex.org/W2748021867","https://openalex.org/W2762439315","https://openalex.org/W2779176852","https://openalex.org/W2780740184","https://openalex.org/W2806446538","https://openalex.org/W2913483780","https://openalex.org/W2928601293","https://openalex.org/W2935854115","https://openalex.org/W2954171777","https://openalex.org/W2963292632","https://openalex.org/W2966475089","https://openalex.org/W2968014831","https://openalex.org/W2998590856","https://openalex.org/W3034543232","https://openalex.org/W3035564946","https://openalex.org/W3120688202","https://openalex.org/W3121281282","https://openalex.org/W3160801637","https://openalex.org/W3176566042","https://openalex.org/W3194912724","https://openalex.org/W3205516605","https://openalex.org/W4205797172","https://openalex.org/W4213132248","https://openalex.org/W4280489771","https://openalex.org/W4391697048","https://openalex.org/W6647720530","https://openalex.org/W6677034156"],"related_works":["https://openalex.org/W2392812199","https://openalex.org/W4200176076","https://openalex.org/W598185802","https://openalex.org/W2355516524","https://openalex.org/W2361471170","https://openalex.org/W2025616642","https://openalex.org/W1954972543","https://openalex.org/W2954738200","https://openalex.org/W4226107239","https://openalex.org/W1585193483"],"abstract_inverted_index":{"Accurate":[0],"lane":[1,22,80,99,113,124,132],"detection":[2,23,100,114,133],"is":[3,193],"an":[4,54],"essential":[5],"function":[6],"of":[7,116,164,179],"dynamic":[8],"traffic":[9],"perception.":[10],"Though":[11],"deep":[12],"learning":[13],"(DL)":[14],"based":[15,48],"methods":[16],"have":[17],"been":[18],"widely":[19],"applied":[20,63,155],"to":[21,58,66,95,141,156,160,186,196],"tasks,":[24],"such":[25,223],"models":[26,118],"rarely":[27],"achieve":[28],"sufficient":[29],"accuracy":[30,39,115,205],"in":[31,40,72,119],"low-light":[32],"weather":[33,74,208],"conditions.":[34,147,209],"To":[35],"improve":[36,197],"the":[37,67,106,112,131,144,162,174,188],"model":[38,57,134,198],"foggy":[41,79,123,128,146,189,201],"conditions,":[42],"a":[43],"new":[44],"approach":[45,192,212],"was":[46,137,153,169,181],"proposed":[47],"on":[49,206,216],"monocular":[50],"depth":[51],"prediction":[52],"and":[53,75,89,126,226],"atmospheric":[55],"scattering":[56],"generate":[59],"fog":[60,85],"artificially.":[61],"We":[62],"our":[64],"method":[65,152],"existing":[68],"CULane":[69],"dataset":[70,108,185],"collected":[71],"clear":[73],"generated":[76,90,122],"107,451":[77],"labeled":[78],"images":[81,125],"under":[82,143,200],"three":[83],"different":[84],"densities.":[86],"The":[87,102],"original":[88],"datasets":[91],"were":[92],"then":[93],"used":[94],"train":[96],"state-of-the-art":[97],"(SOTA)":[98],"networks.":[101],"experiments":[103],"demonstrate":[104],"that":[105,171],"synthetic":[107],"can":[109],"significantly":[110],"increase":[111],"DL-based":[117],"both":[120],"artificially":[121],"real":[127],"scenes.":[129],"Specifically,":[130],"performance":[135,199],"(F1-measure)":[136],"increased":[138],"from":[139,183],"11.09":[140],"70.41":[142],"heaviest":[145],"Additionally,":[148],"this":[149,165,211],"data":[150,190],"augmentation":[151,191],"further":[154],"another":[157],"dataset,":[158],"VIL-100,":[159],"test":[161],"adaptability":[163],"approach.":[166],"Similarly,":[167],"it":[168],"found":[170],"even":[172],"when":[173],"camera":[175],"position":[176],"or":[177],"level":[178],"brightness":[180],"changed":[182],"one":[184],"another,":[187],"still":[194],"valid":[195],"conditions":[202],"without":[203],"degrading":[204],"other":[207,220],"Finally,":[210],"also":[213],"sheds":[214],"light":[215],"practical":[217],"applications":[218],"for":[219],"complex":[221],"scenes":[222],"as":[224],"nighttime":[225],"rainy":[227],"days.":[228]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-05T09:01:59.212387","created_date":"2025-10-10T00:00:00"}
