{"id":"https://openalex.org/W4409761283","doi":"https://doi.org/10.1109/tits.2025.3560539","title":"Attention-Based Feature Fusion Empowered Encoder-Decoder Framework for Nighttime Traffic Perception From High-Altitude Surveillance System","display_name":"Attention-Based Feature Fusion Empowered Encoder-Decoder Framework for Nighttime Traffic Perception From High-Altitude Surveillance System","publication_year":2025,"publication_date":"2025-04-24","ids":{"openalex":"https://openalex.org/W4409761283","doi":"https://doi.org/10.1109/tits.2025.3560539"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2025.3560539","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3560539","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","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/A5028318232","display_name":"Qianxia Cao","orcid":"https://orcid.org/0000-0003-4217-4896"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianxia Cao","raw_affiliation_strings":["School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-4217-4896","affiliations":[{"raw_affiliation_string":"School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha, China","institution_ids":["https://openalex.org/I56934997"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhenyu Shan","orcid":"https://orcid.org/0009-0004-6058-4922"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu Shan","raw_affiliation_strings":["Department of Transportation Engineering, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0004-6058-4922","affiliations":[{"raw_affiliation_string":"Department of Transportation Engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069712264","display_name":"Chenxi Liu","orcid":"https://orcid.org/0000-0002-5447-4768"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chenxi Liu","raw_affiliation_strings":["Department of Civil and Environmental Engineering, The University of Utah, Salt Lake City, UT, USA"],"raw_orcid":"https://orcid.org/0000-0002-5447-4768","affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, The University of Utah, Salt Lake City, UT, USA","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"last","author":{"id":null,"display_name":"Mingxin Yan","orcid":"https://orcid.org/0009-0007-3839-5844"},"institutions":[{"id":"https://openalex.org/I56934997","display_name":"Changsha University of Science and Technology","ror":"https://ror.org/03yph8055","country_code":"CN","type":"education","lineage":["https://openalex.org/I56934997"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingxin Yan","raw_affiliation_strings":["School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0009-0007-3839-5844","affiliations":[{"raw_affiliation_string":"School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha, China","institution_ids":["https://openalex.org/I56934997"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7368,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6881994,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"26","issue":"7","first_page":"10850","last_page":"10864"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9787999987602234,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9787999987602234,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9395999908447266,"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/T10320","display_name":"Neural Networks and Applications","score":0.9309999942779541,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/encoder","display_name":"Encoder","score":0.7312698364257812},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.607365071773529},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6043695211410522},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5457236170768738},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4746414124965668},{"id":"https://openalex.org/keywords/air-traffic-control","display_name":"Air traffic control","score":0.4420900046825409},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3741978406906128},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37243878841400146},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34395521879196167},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23745658993721008},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1811547875404358},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.12414085865020752}],"concepts":[{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.7312698364257812},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.607365071773529},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6043695211410522},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5457236170768738},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4746414124965668},{"id":"https://openalex.org/C166961238","wikidata":"https://www.wikidata.org/wiki/Q221395","display_name":"Air traffic control","level":2,"score":0.4420900046825409},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3741978406906128},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37243878841400146},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34395521879196167},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23745658993721008},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1811547875404358},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.12414085865020752},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2025.3560539","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2025.3560539","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6697363919","display_name":null,"funder_award_id":"2023YFB2603500","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1978232622","https://openalex.org/W1981751944","https://openalex.org/W2058907003","https://openalex.org/W2193145675","https://openalex.org/W2463631526","https://openalex.org/W2517499003","https://openalex.org/W2522212509","https://openalex.org/W2531764180","https://openalex.org/W2563705555","https://openalex.org/W2618530766","https://openalex.org/W2895051362","https://openalex.org/W2901291024","https://openalex.org/W2962720716","https://openalex.org/W2962793481","https://openalex.org/W2963037989","https://openalex.org/W2963857746","https://openalex.org/W2964203052","https://openalex.org/W2964209782","https://openalex.org/W3000673855","https://openalex.org/W3015584482","https://openalex.org/W3027606690","https://openalex.org/W3034347506","https://openalex.org/W3035414587","https://openalex.org/W3035731588","https://openalex.org/W3038008805","https://openalex.org/W3040917031","https://openalex.org/W3089893234","https://openalex.org/W3101584909","https://openalex.org/W3117892690","https://openalex.org/W3120340607","https://openalex.org/W3121661546","https://openalex.org/W3122939190","https://openalex.org/W3127731528","https://openalex.org/W3127882834","https://openalex.org/W3143918648","https://openalex.org/W3147104771","https://openalex.org/W3174792937","https://openalex.org/W4210480131","https://openalex.org/W4281252082","https://openalex.org/W4289752563","https://openalex.org/W4310011591","https://openalex.org/W4312814001","https://openalex.org/W4327662645","https://openalex.org/W4382998822","https://openalex.org/W4389611043","https://openalex.org/W4396980172","https://openalex.org/W4397026380","https://openalex.org/W4400135986","https://openalex.org/W4401070405","https://openalex.org/W4401111001","https://openalex.org/W4401163128","https://openalex.org/W4401305182","https://openalex.org/W4402426347","https://openalex.org/W6620707391","https://openalex.org/W6754146604"],"related_works":["https://openalex.org/W4390516098","https://openalex.org/W2181948922","https://openalex.org/W4388561773","https://openalex.org/W2384362569","https://openalex.org/W2142795561","https://openalex.org/W2123753634","https://openalex.org/W4205302943","https://openalex.org/W2561132942","https://openalex.org/W3155418658","https://openalex.org/W4243199227"],"abstract_inverted_index":{"Traffic":[0],"perception":[1,81,222],"is":[2],"essential":[3],"for":[4,22,30,78,229],"intelligent":[5],"transportation":[6],"systems":[7],"(ITS)":[8],"to":[9,100,118,187,197,218],"improve":[10],"road":[11],"safety":[12],"and":[13,34,54,59,193],"facilitate":[14],"traffic":[15,32,80,221,230],"management.":[16],"High-altitude":[17],"video":[18,44],"surveillance":[19,45],"systems,":[20],"known":[21],"their":[23],"wide":[24],"coverage,":[25],"provide":[26],"an":[27,86,94,142,226],"effective":[28],"solution":[29,228],"continuous":[31],"monitoring":[33],"are":[35],"increasingly":[36],"deployed":[37],"worldwide.":[38],"However,":[39],"the":[40,51,102,128,148,152,178,188,208,216],"application":[41],"of":[42,57,105],"high-altitude":[43],"faces":[46],"significant":[47],"challenges,":[48],"such":[49],"as":[50],"small":[52],"size":[53],"high":[55],"density":[56],"vehicles,":[58],"low":[60],"ambient":[61],"brightness":[62],"at":[63,223],"night":[64],"or":[65],"low-light":[66,83],"conditions.":[67],"In":[68],"this":[69],"study,":[70],"we":[71,110,134],"propose":[72],"a":[73,112,136,159],"novel":[74],"lightweight":[75,160,209],"model":[76,214],"specifically":[77],"reliable":[79],"in":[82,212],"conditions,":[84],"utilizing":[85],"encoder-decoder":[87],"architecture.":[88],"The":[89,155],"proposed":[90,179],"framework":[91,217],"begins":[92],"with":[93,167],"advanced":[95],"image":[96,120,132,191],"enhancement":[97,192],"algorithm":[98],"designed":[99],"amplify":[101],"semantic":[103,165],"content":[104],"low-brightness":[106],"nighttime":[107,174],"images.":[108],"Subsequently,":[109],"employ":[111],"lightweight,":[113],"deep":[114],"two-channel":[115,153],"neural":[116],"network":[117],"extract":[119],"features":[121,149],"both":[122],"pre-and":[123],"post-enhancement.":[124],"To":[125],"effectively":[126],"manage":[127],"noise":[129],"introduced":[130],"during":[131],"enhancement,":[133,202],"introduce":[135],"feature":[137],"fusion":[138],"module":[139,210],"based":[140],"on":[141,172,201],"attention":[143],"mechanism,":[144],"which":[145],"adaptively":[146],"merges":[147],"extracted":[150],"by":[151,184,194],"network.":[154],"final":[156],"step":[157],"involves":[158],"decoder":[161],"that":[162,177],"synergizes":[163],"high-level":[164],"information":[166],"low-level":[168],"features.":[169],"Extensive":[170],"evaluation":[171],"our":[173,213],"dataset":[175],"shows":[176],"method":[180],"can":[181],"reduce":[182],"error":[183],"40%":[185],"compared":[186,196],"methods":[189],"without":[190],"28%":[195],"those":[198],"relying":[199],"solely":[200],"outperforming":[203],"all":[204],"baseline":[205],"methods.":[206],"Notably,":[207],"embedded":[211],"empowers":[215],"perform":[219],"real-time":[220],"night,":[224],"providing":[225],"efficient":[227],"monitoring.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}