{"id":"https://openalex.org/W4367850488","doi":"https://doi.org/10.3103/s0146411623020050","title":"Lane Detection Method under Low-Light Conditions Combining Feature Aggregation and Light Style Transfer","display_name":"Lane Detection Method under Low-Light Conditions Combining Feature Aggregation and Light Style Transfer","publication_year":2023,"publication_date":"2023-04-01","ids":{"openalex":"https://openalex.org/W4367850488","doi":"https://doi.org/10.3103/s0146411623020050"},"language":"en","primary_location":{"id":"doi:10.3103/s0146411623020050","is_oa":false,"landing_page_url":"http://dx.doi.org/10.3103/s0146411623020050","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","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/A5086794814","display_name":"Jianlou Lou","orcid":"https://orcid.org/0000-0002-5748-9033"},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianlou Lou","raw_affiliation_strings":["School of Computer Engineering, Northeast Electric Power University, 132012, Jilin, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Northeast Electric Power University, 132012, Jilin, P.R. China","institution_ids":["https://openalex.org/I179060312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067631851","display_name":"Feng Liang","orcid":"https://orcid.org/0000-0002-9393-6224"},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feng Liang","raw_affiliation_strings":["School of Computer Engineering, Northeast Electric Power University, 132012, Jilin, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Northeast Electric Power University, 132012, Jilin, P.R. China","institution_ids":["https://openalex.org/I179060312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086506501","display_name":"Zhaoyang Qu","orcid":"https://orcid.org/0000-0001-7599-9531"},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoyang Qu","raw_affiliation_strings":["School of Computer Engineering, Northeast Electric Power University, 132012, Jilin, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Northeast Electric Power University, 132012, Jilin, P.R. China","institution_ids":["https://openalex.org/I179060312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100460314","display_name":"Xiangyu Li","orcid":"https://orcid.org/0000-0002-4226-1255"},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyu Li","raw_affiliation_strings":["School of Computer Engineering, Northeast Electric Power University, 132012, Jilin, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Northeast Electric Power University, 132012, Jilin, P.R. China","institution_ids":["https://openalex.org/I179060312"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101430778","display_name":"Keyu Chen","orcid":"https://orcid.org/0000-0001-5130-7799"},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keyu Chen","raw_affiliation_strings":["School of Computer Engineering, Northeast Electric Power University, 132012, Jilin, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Northeast Electric Power University, 132012, Jilin, P.R. China","institution_ids":["https://openalex.org/I179060312"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027508261","display_name":"Bochuan He","orcid":null},"institutions":[{"id":"https://openalex.org/I179060312","display_name":"Northeast Electric Power University","ror":"https://ror.org/00zqaxa34","country_code":"CN","type":"education","lineage":["https://openalex.org/I179060312"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bochuan He","raw_affiliation_strings":["School of Computer Engineering, Northeast Electric Power University, 132012, Jilin, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Northeast Electric Power University, 132012, Jilin, P.R. China","institution_ids":["https://openalex.org/I179060312"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5067631851"],"corresponding_institution_ids":["https://openalex.org/I179060312"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03395495,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"57","issue":"2","first_page":"143","last_page":"153"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9990000128746033,"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/T10331","display_name":"Video Surveillance and Tracking Methods","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/computer-science","display_name":"Computer science","score":0.8707612752914429},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6849591732025146},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.629284143447876},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6239451766014099},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5455706119537354},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48927709460258484},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4857900142669678},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4726649522781372},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.47175318002700806},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4204406440258026},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4153466820716858}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8707612752914429},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6849591732025146},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.629284143447876},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6239451766014099},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5455706119537354},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48927709460258484},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4857900142669678},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4726649522781372},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.47175318002700806},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4204406440258026},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4153466820716858},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3103/s0146411623020050","is_oa":false,"landing_page_url":"http://dx.doi.org/10.3103/s0146411623020050","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2288122362","https://openalex.org/W2309415944","https://openalex.org/W2780740184","https://openalex.org/W2897239658","https://openalex.org/W2964332990","https://openalex.org/W2969284583","https://openalex.org/W2981441441","https://openalex.org/W2982278021","https://openalex.org/W2995059005","https://openalex.org/W3108280663","https://openalex.org/W3109790059","https://openalex.org/W3120688202","https://openalex.org/W3157173860","https://openalex.org/W3173721678","https://openalex.org/W3175091786","https://openalex.org/W3176566042","https://openalex.org/W4285604868","https://openalex.org/W6661919903"],"related_works":["https://openalex.org/W2357124094","https://openalex.org/W2387399993","https://openalex.org/W2389739210","https://openalex.org/W3183901164","https://openalex.org/W3135818718","https://openalex.org/W4290188444","https://openalex.org/W3167935049","https://openalex.org/W3003905048","https://openalex.org/W2253429366","https://openalex.org/W3127975138"],"abstract_inverted_index":{"Abstract":[0],"Deep":[1],"learning":[2],"technology":[3,13],"is":[4,47],"widely":[5],"used":[6],"in":[7,37,100,157],"lane":[8,30,58,98,109,190],"detection,":[9],"but":[10],"applying":[11],"this":[12],"to":[14,132,161,179],"conditions":[15,39],"such":[16],"as":[17,61],"environmental":[18,186],"occlusion":[19,36],"and":[20,33,69,102,105,118,127],"low":[21],"light":[22],"remains":[23],"challenging.":[24],"On":[25,49],"the":[26,35,50,70,78,93,97,107,123,130,154,158,165,180,185,189],"one":[27],"hand,":[28,52],"obtaining":[29],"information":[31,115,126],"before":[32],"after":[34],"low-light":[38,67,142,162],"using":[40,200],"an":[41,140,173],"ordinary":[42],"convolutional":[43],"neural":[44],"network":[45,131],"(CNN)":[46],"impossible.":[48],"other":[51],"only":[53],"a":[54,83],"small":[55],"amount":[56],"of":[57,96,129,167,176,188],"data":[59,72],"(such":[60],"CULane)":[62],"have":[63],"been":[64],"collected":[65],"under":[66],"conditions,":[68],"new":[71],"require":[73],"considerable":[74],"manual":[75,168],"labeling.":[76,169],"Given":[77],"above":[79],"problems,":[80],"we":[81,138],"propose":[82],"double":[84],"attention":[85],"recurrent":[86],"feature-shift":[87],"aggregator":[88],"(DARESA)":[89],"module,":[90],"which":[91],"uses":[92],"prior":[94],"knowledge":[95],"shape":[99],"space":[101],"channel":[103],"dimensions,":[104],"enriches":[106],"original":[108],"features":[110],"by":[111,199],"repeatedly":[112],"capturing":[113],"pixel":[114],"across":[116],"rows":[117],"columns.":[119],"This":[120],"indirectly":[121],"increased":[122],"global":[124],"feature":[125,134],"ability":[128],"extract":[133],"fine-grained":[135],"information.":[136],"Moreover,":[137],"trained":[139],"unsupervised":[141],"style":[143],"transfer":[144],"model":[145,152],"suitable":[146],"for":[147],"autonomous":[148],"driving":[149],"scenarios.":[150],"The":[151],"transferred":[153],"daytime":[155],"images":[156,178],"CULane":[159,201],"dataset":[160],"images,":[163],"eliminating":[164],"cost":[166],"In":[170],"addition,":[171],"adding":[172],"appropriate":[174],"number":[175],"generated":[177],"training":[181],"set":[182],"can":[183],"enhance":[184],"adaptability":[187],"detector,":[191],"yielding":[192],"better":[193],"detection":[194],"results":[195],"than":[196],"those":[197],"achieved":[198],"only.":[202]},"counts_by_year":[],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}