{"id":"https://openalex.org/W4292313599","doi":"https://doi.org/10.3390/rs14163985","title":"3D Convolutional Neural Network for Low-Light Image Sequence Enhancement in SLAM","display_name":"3D Convolutional Neural Network for Low-Light Image Sequence Enhancement in SLAM","publication_year":2022,"publication_date":"2022-08-16","ids":{"openalex":"https://openalex.org/W4292313599","doi":"https://doi.org/10.3390/rs14163985"},"language":"en","primary_location":{"id":"doi:10.3390/rs14163985","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14163985","pdf_url":"https://www.mdpi.com/2072-4292/14/16/3985/pdf?version=1660657537","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/14/16/3985/pdf?version=1660657537","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078350779","display_name":"Yizhuo Quan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yizhuo Quan","raw_affiliation_strings":["Aerospace Information Reaserch Institute, China Academy of Sciences, No. 9 Dengzhuang South Road, Haidian District, Beijing 100094, China","University of Chinese Academy of Sciences, No 19(A) Yuquan Road, Shijingshan District, Beijing 100049, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Reaserch Institute, China Academy of Sciences, No. 9 Dengzhuang South Road, Haidian District, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, No 19(A) Yuquan Road, Shijingshan District, Beijing 100049, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048198309","display_name":"Dong Fu","orcid":"https://orcid.org/0000-0002-5687-0393"},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Fu","raw_affiliation_strings":["Aerospace Information Reaserch Institute, China Academy of Sciences, No. 9 Dengzhuang South Road, Haidian District, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Reaserch Institute, China Academy of Sciences, No. 9 Dengzhuang South Road, Haidian District, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024574780","display_name":"Yuanfei Chang","orcid":"https://orcid.org/0009-0008-7998-0801"},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanfei Chang","raw_affiliation_strings":["Aerospace Information Reaserch Institute, China Academy of Sciences, No. 9 Dengzhuang South Road, Haidian District, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Reaserch Institute, China Academy of Sciences, No. 9 Dengzhuang South Road, Haidian District, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101452627","display_name":"Chengbo Wang","orcid":"https://orcid.org/0000-0001-9779-4713"},"institutions":[{"id":"https://openalex.org/I4210137199","display_name":"Aerospace Information Research Institute","ror":"https://ror.org/0419fj215","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chengbo Wang","raw_affiliation_strings":["Aerospace Information Reaserch Institute, China Academy of Sciences, No. 9 Dengzhuang South Road, Haidian District, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"Aerospace Information Reaserch Institute, China Academy of Sciences, No. 9 Dengzhuang South Road, Haidian District, Beijing 100094, China","institution_ids":["https://openalex.org/I4210137199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101452627"],"corresponding_institution_ids":["https://openalex.org/I4210137199"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":8.0721,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.9669312,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"14","issue":"16","first_page":"3985","last_page":"3985"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10531","display_name":"Advanced Vision and Imaging","score":0.9994999766349792,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9991000294685364,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8527864217758179},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7415964603424072},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.724051296710968},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.6406795382499695},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5264083743095398},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45672422647476196},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4451950192451477},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43842074275016785},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39955949783325195},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.31459254026412964}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8527864217758179},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7415964603424072},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.724051296710968},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.6406795382499695},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5264083743095398},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45672422647476196},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4451950192451477},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43842074275016785},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39955949783325195},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31459254026412964},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14163985","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14163985","pdf_url":"https://www.mdpi.com/2072-4292/14/16/3985/pdf?version=1660657537","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4cc06d495d4f4f85837fa42f21ce09a1","is_oa":true,"landing_page_url":"https://doaj.org/article/4cc06d495d4f4f85837fa42f21ce09a1","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 16, p 3985 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/16/3985/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14163985","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":"Remote Sensing; Volume 14; Issue 16; Pages: 3985","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14163985","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14163985","pdf_url":"https://www.mdpi.com/2072-4292/14/16/3985/pdf?version=1660657537","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4292313599.pdf","grobid_xml":"https://content.openalex.org/works/W4292313599.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1983364832","https://openalex.org/W1986086122","https://openalex.org/W1988572464","https://openalex.org/W2021851106","https://openalex.org/W2033819227","https://openalex.org/W2076205488","https://openalex.org/W2097117768","https://openalex.org/W2098171705","https://openalex.org/W2112796928","https://openalex.org/W2116973876","https://openalex.org/W2117228865","https://openalex.org/W2118223742","https://openalex.org/W2150461190","https://openalex.org/W2151103935","https://openalex.org/W2152671441","https://openalex.org/W2254039850","https://openalex.org/W2461937780","https://openalex.org/W2468596194","https://openalex.org/W2745859992","https://openalex.org/W2765608241","https://openalex.org/W2791710889","https://openalex.org/W2797395780","https://openalex.org/W2801541075","https://openalex.org/W2811290696","https://openalex.org/W2935842779","https://openalex.org/W2981847167","https://openalex.org/W2998933341","https://openalex.org/W3012138391","https://openalex.org/W3018997134","https://openalex.org/W3025490466","https://openalex.org/W3035731588","https://openalex.org/W3043971245","https://openalex.org/W3046289513","https://openalex.org/W3087509453","https://openalex.org/W3098486636","https://openalex.org/W3120540810","https://openalex.org/W3124420883","https://openalex.org/W3130012643","https://openalex.org/W3134649899","https://openalex.org/W3214264009","https://openalex.org/W6676770471","https://openalex.org/W6755037456","https://openalex.org/W6876515975"],"related_works":["https://openalex.org/W115686965","https://openalex.org/W2768918307","https://openalex.org/W2110031805","https://openalex.org/W2040020606","https://openalex.org/W4362659915","https://openalex.org/W2113071088","https://openalex.org/W2116526828","https://openalex.org/W2321543601","https://openalex.org/W1990016983","https://openalex.org/W2972861887"],"abstract_inverted_index":{"Typical":[0],"visual":[1,50,71,106],"simultaneous":[2],"localization":[3],"and":[4,15,36,92,102,170,183],"mapping":[5],"(SLAM)":[6],"systems":[7],"rely":[8],"on":[9,56,191],"front-end":[10],"odometry":[11],"for":[12,162,230],"feature":[13,46,100],"extraction":[14,42,101],"matching":[16,103],"to":[17,87,97,116,122,136,166],"establish":[18],"the":[19,28,41,64,79,89,94,99,129,138,146,163,168,173,192,222],"relations":[20],"between":[21],"adjacent":[22],"images.":[23,154],"In":[24],"a":[25,32,60,75,111,124,158,200,233],"low-light":[26,57,90,125,187,219],"environment,":[27],"image":[29,85,91,165,188],"obtained":[30],"by":[31],"camera":[33],"is":[34,211],"dim":[35],"shows":[37],"scarce":[38],"information,":[39],"hindering":[40],"of":[43,59,82,105,145,172,208,216],"sufficient":[44],"stable":[45],"points,":[47],"consequently":[48],"undermining":[49],"SLAM.":[51,72,107],"Most":[52],"existing":[53],"methods":[54,190],"focus":[55],"enhancement":[58,126,189],"single":[61],"image,":[62],"neglecting":[63],"strong":[65],"temporal":[66,80],"correlation":[67],"across":[68],"images":[69],"in":[70,218],"We":[73,155,176],"propose":[74],"method":[76,109,180,198,210],"that":[77,215],"leverages":[78],"information":[81],"an":[83],"input":[84],"sequence":[86],"enhance":[88],"employed":[93],"enhanced":[95,140,164],"result":[96],"improve":[98],"quality":[104],"Our":[108],"trains":[110],"three-dimensional":[112],"convolutional":[113],"neural":[114],"network":[115,147,224],"estimate":[117],"pixelwise":[118],"grayscale":[119,130],"transformation":[120,131],"curves":[121,132],"obtain":[123,137],"image.":[127,175],"Then,":[128],"are":[133],"iteratively":[134],"applied":[135],"final":[139],"result.":[141],"The":[142,196,204],"training":[143],"process":[144],"does":[148],"not":[149],"require":[150],"any":[151],"paired":[152],"reference":[153],"also":[156],"introduced":[157],"spatial":[159],"consistency":[160],"loss":[161],"retain":[167],"content":[169],"texture":[171],"original":[174],"further":[177],"integrated":[178],"our":[179,209],"into":[181,232],"VINS-Mono":[182],"compared":[184],"with":[185],"similar":[186],"TUM-VI":[193],"public":[194],"dataset.":[195],"proposed":[197,223],"provides":[199],"lower":[201,213],"positioning":[202,205],"error.":[203],"root-mean-squared":[206],"error":[207],"19.83%":[212],"than":[214],"Zero-DCE++":[217],"environments.":[220],"Moreover,":[221],"achieves":[225],"real-time":[226],"operation,":[227],"being":[228],"suitable":[229],"integration":[231],"SLAM":[234],"system.":[235]},"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":4}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2022-08-19T00:00:00"}