{"id":"https://openalex.org/W4386883680","doi":"https://doi.org/10.1109/iciis58898.2023.10253533","title":"Deep Learning Based Low Light Enhancements for Advanced Driver-Assistance Systems at Night","display_name":"Deep Learning Based Low Light Enhancements for Advanced Driver-Assistance Systems at Night","publication_year":2023,"publication_date":"2023-08-25","ids":{"openalex":"https://openalex.org/W4386883680","doi":"https://doi.org/10.1109/iciis58898.2023.10253533"},"language":"en","primary_location":{"id":"doi:10.1109/iciis58898.2023.10253533","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciis58898.2023.10253533","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 17th International Conference on Industrial and Information Systems (ICIIS)","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/A5018776275","display_name":"Pamudu Ranasinghe","orcid":null},"institutions":[{"id":"https://openalex.org/I111199411","display_name":"University of Peradeniya","ror":"https://ror.org/025h79t26","country_code":"LK","type":"education","lineage":["https://openalex.org/I111199411"]}],"countries":["LK"],"is_corresponding":true,"raw_author_name":"Pamudu Ranasinghe","raw_affiliation_strings":["University of Peradeniya,Dept. Electrical &#x0026; Electronic Eng.,Peradeniya,Sri Lanka"],"affiliations":[{"raw_affiliation_string":"University of Peradeniya,Dept. Electrical &#x0026; Electronic Eng.,Peradeniya,Sri Lanka","institution_ids":["https://openalex.org/I111199411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092907277","display_name":"Dilshan Muthukuda","orcid":null},"institutions":[{"id":"https://openalex.org/I111199411","display_name":"University of Peradeniya","ror":"https://ror.org/025h79t26","country_code":"LK","type":"education","lineage":["https://openalex.org/I111199411"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"Dilshan Muthukuda","raw_affiliation_strings":["University of Peradeniya,Dept. Electrical &#x0026; Electronic Eng.,Peradeniya,Sri Lanka"],"affiliations":[{"raw_affiliation_string":"University of Peradeniya,Dept. Electrical &#x0026; Electronic Eng.,Peradeniya,Sri Lanka","institution_ids":["https://openalex.org/I111199411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092907278","display_name":"Primash Morapitiya","orcid":null},"institutions":[{"id":"https://openalex.org/I111199411","display_name":"University of Peradeniya","ror":"https://ror.org/025h79t26","country_code":"LK","type":"education","lineage":["https://openalex.org/I111199411"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"Primash Morapitiya","raw_affiliation_strings":["University of Peradeniya,Dept. Electrical &#x0026; Electronic Eng.,Peradeniya,Sri Lanka"],"affiliations":[{"raw_affiliation_string":"University of Peradeniya,Dept. Electrical &#x0026; Electronic Eng.,Peradeniya,Sri Lanka","institution_ids":["https://openalex.org/I111199411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017191477","display_name":"Maheshi B. Dissanayake","orcid":"https://orcid.org/0000-0001-5209-5441"},"institutions":[{"id":"https://openalex.org/I111199411","display_name":"University of Peradeniya","ror":"https://ror.org/025h79t26","country_code":"LK","type":"education","lineage":["https://openalex.org/I111199411"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"Maheshi B Dissanayake","raw_affiliation_strings":["University of Peradeniya,Dept. Electrical &#x0026; Electronic Eng.,Peradeniya,Sri Lanka"],"affiliations":[{"raw_affiliation_string":"University of Peradeniya,Dept. Electrical &#x0026; Electronic Eng.,Peradeniya,Sri Lanka","institution_ids":["https://openalex.org/I111199411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010616921","display_name":"H.K.I.S. Lakmal","orcid":null},"institutions":[{"id":"https://openalex.org/I111199411","display_name":"University of Peradeniya","ror":"https://ror.org/025h79t26","country_code":"LK","type":"education","lineage":["https://openalex.org/I111199411"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"H.K.I.S. Lakmal","raw_affiliation_strings":["University of Peradeniya,Dept. Electrical &#x0026; Electronic Eng.,Peradeniya,Sri Lanka"],"affiliations":[{"raw_affiliation_string":"University of Peradeniya,Dept. Electrical &#x0026; Electronic Eng.,Peradeniya,Sri Lanka","institution_ids":["https://openalex.org/I111199411"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5018776275"],"corresponding_institution_ids":["https://openalex.org/I111199411"],"apc_list":null,"apc_paid":null,"fwci":0.8304,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.75231932,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"489","last_page":"494"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":1.0,"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":1.0,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9987999796867371,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9987000226974487,"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":0.7710226774215698},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5736693143844604},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5624778866767883},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5304871201515198},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49794745445251465},{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.45933452248573303},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.42933589220046997},{"id":"https://openalex.org/keywords/night-vision","display_name":"Night vision","score":0.4188770651817322},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.34509989619255066},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22066420316696167}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7710226774215698},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5736693143844604},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5624778866767883},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5304871201515198},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49794745445251465},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.45933452248573303},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.42933589220046997},{"id":"https://openalex.org/C2983470273","wikidata":"https://www.wikidata.org/wiki/Q5353651","display_name":"Night vision","level":2,"score":0.4188770651817322},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34509989619255066},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22066420316696167},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iciis58898.2023.10253533","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciis58898.2023.10253533","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 17th International Conference on Industrial and Information Systems (ICIIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2042718506","https://openalex.org/W2926315443","https://openalex.org/W2963037989","https://openalex.org/W3016478929","https://openalex.org/W3035731588","https://openalex.org/W3106758205","https://openalex.org/W3121661546","https://openalex.org/W3173307371","https://openalex.org/W3214264009","https://openalex.org/W4289752563","https://openalex.org/W4293387332","https://openalex.org/W4297510499","https://openalex.org/W4312902661","https://openalex.org/W4312926994","https://openalex.org/W4313524862","https://openalex.org/W4320002812","https://openalex.org/W4382240242","https://openalex.org/W4411245197"],"related_works":["https://openalex.org/W2770234245","https://openalex.org/W96612179","https://openalex.org/W4229499248","https://openalex.org/W2566006169","https://openalex.org/W1567818861","https://openalex.org/W2987774938","https://openalex.org/W4256492088","https://openalex.org/W632915154","https://openalex.org/W363056977","https://openalex.org/W2168568464"],"abstract_inverted_index":{"In":[0],"the":[1,34,46,58,76,90,128,154,203,207,238,241,245],"modern":[2],"automobile":[3],"industry,":[4],"full/partial":[5],"autonomous":[6,55,163,178,233],"driving":[7,99,164,179],"has":[8,130],"become":[9],"a":[10,183,225],"common":[11],"phenomenon.":[12],"These":[13],"systems":[14,62],"heavily":[15,64],"rely":[16],"on":[17,146,251],"sensors,":[18],"both":[19],"visual":[20],"and":[21,26,32,70,92,121,172,190,202,219,232,240],"non-visual,":[22],"such":[23,61,193],"as":[24,45,194],"cameras":[25],"LIDAR,":[27],"to":[28,80,134],"interpret":[29],"their":[30],"surroundings":[31],"aid":[33],"decision-making":[35],"process.":[36],"Recently,":[37],"visual-only":[38],"sensing":[39],"devices,":[40],"mainly":[41],"cameras,":[42],"have":[43,135],"emerged":[44],"primary":[47,73],"sensor":[48],"for":[49,144,159,177,182,217],"obtaining":[50],"an":[51,82,141,170,214],"immersive":[52],"feeling":[53],"in":[54,97,112,162,187,228],"driving.":[56],"However,":[57],"performance":[59],"of":[60,75,94,114,185,237,244],"is":[63,79,156],"constrained":[65],"by":[66],"fluctuating":[67],"light":[68],"intensity":[69],"shadows.":[71],"The":[72,101],"goal":[74],"presented":[77],"research":[78],"develop":[81],"effective":[83,173],"low-light":[84,98,229],"image":[85,103,230],"enhancement":[86,104,231],"system":[87,239],"that":[88],"improves":[89],"perception":[91],"inter-pretability":[93],"images":[95],"taken":[96],"environments.":[100],"developed":[102],"architecture":[105,168,223],"demonstrates":[106],"remarkable":[107],"capabilities,":[108],"surpassing":[109],"existing":[110],"models":[111],"terms":[113],"real-time":[115,160],"suitability,":[116],"PSNR":[117],"(Peak":[118],"Signal-to-Noise":[119],"Ratio),":[120],"SSIM":[122],"(Structural":[123],"Similarity":[124],"Index)":[125],"values.":[126],"Additionally,":[127],"model":[129,155],"been":[131],"specifically":[132],"designed":[133],"low":[136],"resource":[137],"usage,":[138],"making":[139],"it":[140,213],"ideal":[142],"solution":[143,174],"deployment":[145],"low-end":[147],"devices.":[148],"With":[149],"significantly":[150],"lower":[151],"inference":[152],"time,":[153],"exceptionally":[157],"well-suited":[158],"operation":[161],"applications.":[165],"Furthermore,":[166],"this":[167,222],"provides":[169],"efficient":[171],"not":[175],"only":[176],"but":[180],"also":[181],"range":[184],"applications":[186],"video/image":[188],"processing":[189],"computer":[191],"vision,":[192],"surveillance":[195],"systems,":[196],"medical":[197],"imaging,":[198,201],"astronomy,":[199],"underwater":[200],"mining":[204],"industry.":[205],"Finally,":[206],"relatively":[208],"short":[209],"training":[210],"time":[211],"makes":[212],"attractive":[215],"option":[216],"researchers":[218],"developers.":[220],"Overall,":[221],"represents":[224],"significant":[226],"advancement":[227],"vehicles.":[234],"A":[235],"demo":[236],"source":[242],"code":[243],"proposed":[246],"LLE_UNET":[247],"can":[248],"be":[249],"found":[250],"https://github.com/pamudu123ILow_Light_Image_Enhancement.":[252]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
