{"id":"https://openalex.org/W7160898378","doi":"https://doi.org/10.1109/lsp.2026.3692066","title":"PG-DB-RTDETR: Physics-Guided Real-Time Detection in Foggy Scenes","display_name":"PG-DB-RTDETR: Physics-Guided Real-Time Detection in Foggy Scenes","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7160898378","doi":"https://doi.org/10.1109/lsp.2026.3692066"},"language":null,"primary_location":{"id":"doi:10.1109/lsp.2026.3692066","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2026.3692066","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","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/A5128311364","display_name":"Jian Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119087","display_name":"North China Institute of Aerospace Engineering","ror":"https://ror.org/02m7msy24","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Cheng","raw_affiliation_strings":["North China Institute of Aerospace Engineering, Langfang, China"],"raw_orcid":"https://orcid.org/0009-0007-1994-5900","affiliations":[{"raw_affiliation_string":"North China Institute of Aerospace Engineering, Langfang, China","institution_ids":["https://openalex.org/I4210119087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127473379","display_name":"Zhe Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119087","display_name":"North China Institute of Aerospace Engineering","ror":"https://ror.org/02m7msy24","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Wen","raw_affiliation_strings":["North China Institute of Aerospace Engineering, Langfang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North China Institute of Aerospace Engineering, Langfang, China","institution_ids":["https://openalex.org/I4210119087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135976603","display_name":"Yongchao Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119087","display_name":"North China Institute of Aerospace Engineering","ror":"https://ror.org/02m7msy24","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongchao Hu","raw_affiliation_strings":["North China Institute of Aerospace Engineering, Langfang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North China Institute of Aerospace Engineering, Langfang, China","institution_ids":["https://openalex.org/I4210119087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135982482","display_name":"Fei Guan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119087","display_name":"North China Institute of Aerospace Engineering","ror":"https://ror.org/02m7msy24","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Guan","raw_affiliation_strings":["North China Institute of Aerospace Engineering, Langfang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North China Institute of Aerospace Engineering, Langfang, China","institution_ids":["https://openalex.org/I4210119087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064739874","display_name":"Ruijuan Chi","orcid":"https://orcid.org/0000-0003-0640-7680"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruijuan Chi","raw_affiliation_strings":["China Agricultural University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0640-7680","affiliations":[{"raw_affiliation_string":"China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.5783661,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"1996","last_page":"2000"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.38609999418258667,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.38609999418258667,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.09229999780654907,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.05820000171661377,"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/object-detection","display_name":"Object detection","score":0.34779998660087585},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.33320000767707825},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.32030001282691956},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.2842999994754791},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.28369998931884766},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.27559998631477356}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.625},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5889000296592712},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5346999764442444},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.34779998660087585},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.33320000767707825},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.32030001282691956},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2842999994754791},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.28369998931884766},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.27559998631477356},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2703000009059906},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.26330000162124634},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.25189998745918274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2026.3692066","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2026.3692066","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"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 Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8211133024","display_name":null,"funder_award_id":"52172396","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":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Object":[0],"detection":[1],"is":[2,76],"a":[3,46,52,79,111],"key":[4],"perception":[5],"technology":[6],"for":[7,83,143,152],"autonomous":[8],"driving,":[9],"but":[10],"its":[11],"performance":[12],"degrades":[13],"sharply":[14],"in":[15,106],"fog":[16],"due":[17],"to":[18,30,118,160],"visual":[19],"signal":[20],"degradation,":[21],"which":[22,87],"causes":[23],"reduced":[24],"contrast":[25],"and":[26,145],"color":[27],"distortion":[28],"correlated":[29],"scene":[31],"depth.":[32],"To":[33,100],"address":[34],"this":[35,37],"challenge,":[36],"paper":[38],"proposes":[39],"the":[40,63,72,90,96,102,134,140,149],"Physics-guided":[41],"Dual-Branch":[42],"RT-DETR":[43],"(PG-DB-RTDETR)":[44],"framework,":[45],"novel":[47],"teacher-student":[48,107],"paradigm.":[49],"We":[50],"design":[51],"Physics-informed":[53],"Cross-Attention":[54],"Fusion":[55],"(PI-CAF)":[56],"module":[57],"that":[58,133],"integrates":[59],"physical":[60,97],"principles":[61],"from":[62,158],"Atmospheric":[64],"Scattering":[65],"Model":[66],"(ASM)":[67],"into":[68],"feature":[69,85],"fusion.":[70],"Specifically,":[71],"ASM's":[73],"transmission":[74],"map":[75],"used":[77],"as":[78],"physics-guided":[80],"spatial":[81],"gate":[82],"adaptive":[84],"compensation,":[86],"also":[88],"endows":[89],"model":[91],"with":[92,124],"interpretability":[93],"by":[94],"visualizing":[95],"prior's":[98],"guidance.":[99],"resolve":[101],"training-inference":[103],"inconsistency":[104],"inherent":[105],"models,":[108],"we":[109],"introduce":[110],"lightweight":[112],"adapter,":[113],"trained":[114],"via":[115],"imitation":[116],"learning,":[117],"ensure":[119],"real-time":[120],"operation":[121],"(55":[122],"FPS)":[123],"minimal":[125],"parameter":[126],"increase.":[127],"Experiments":[128],"on":[129],"Foggy":[130],"Cityscapes":[131],"show":[132],"framework":[135],"provides":[136],"consistent":[137],"improvements":[138],"over":[139],"baseline,":[141],"particularly":[142],"small":[144,153],"medium":[146],"objects,":[147],"increasing":[148],"average":[150],"precision":[151],"objects":[154],"(AP<sub":[155],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[156],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">S</sub>)":[157],"5.2%":[159],"9.3%.":[161]},"counts_by_year":[],"updated_date":"2026-06-02T06:17:35.589633","created_date":"2026-05-13T00:00:00"}
