{"id":"https://openalex.org/W4411730833","doi":"https://doi.org/10.1145/3703935.3704109","title":"Research on Multi object Detection Algorithm for Low Light Traffic","display_name":"Research on Multi object Detection Algorithm for Low Light Traffic","publication_year":2024,"publication_date":"2024-09-20","ids":{"openalex":"https://openalex.org/W4411730833","doi":"https://doi.org/10.1145/3703935.3704109"},"language":"en","primary_location":{"id":"doi:10.1145/3703935.3704109","doi":"https://doi.org/10.1145/3703935.3704109","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3703935.3704109","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3703935.3704109","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 7th International Conference on Artificial Intelligence and Pattern Recognition","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3703935.3704109","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019908662","display_name":"Sujun Hu","orcid":"https://orcid.org/0009-0008-5560-2187","observed_orcids":["https://orcid.org/0009-0008-5560-2187"]},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sujun Hu","raw_affiliation_strings":["School of Communication and Information Engineering, Xi'an University of Posts &amp; Telecommunications, Xi'an, shaanxi, China"],"raw_orcid":"https://orcid.org/0009-0008-5560-2187","affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Xi'an University of Posts &amp; Telecommunications, Xi'an, shaanxi, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Tong Wang","orcid":"https://orcid.org/0009-0002-7257-8656","observed_orcids":["https://orcid.org/0009-0002-7257-8656"]},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Wang","raw_affiliation_strings":["School of Communication and Information Engineering, Xi'an University of Posts &amp; Telecommunications, Xi'an, shaanxi, China"],"raw_orcid":"https://orcid.org/0009-0002-7257-8656","affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Xi'an University of Posts &amp; Telecommunications, Xi'an, shaanxi, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118665564","display_name":"Naihong Xie","orcid":"https://orcid.org/0009-0009-8516-4621","observed_orcids":["https://orcid.org/0009-0009-8516-4621"]},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Naihong Xie","raw_affiliation_strings":["School of Communication and Information Engineering, Xi'an University of Posts &amp; Telecommunications, Xi'an, shaanxi, China"],"raw_orcid":"https://orcid.org/0009-0009-8516-4621","affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Xi'an University of Posts &amp; Telecommunications, Xi'an, shaanxi, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":null,"display_name":"Puzhen Yang","orcid":"https://orcid.org/0009-0008-6998-8009","observed_orcids":["https://orcid.org/0009-0008-6998-8009"]},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Puzhen Yang","raw_affiliation_strings":["School of Communication and Information Engineering, Xi'an University of Posts &amp; Telecommunications, Xi'an, shaanxi, China"],"raw_orcid":"https://orcid.org/0009-0008-6998-8009","affiliations":[{"raw_affiliation_string":"School of Communication and Information Engineering, Xi'an University of Posts &amp; Telecommunications, Xi'an, shaanxi, China","institution_ids":["https://openalex.org/I4210136859"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.36511505,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"758","last_page":"763"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9951000213623047,"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":0.9951000213623047,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.0024999999441206455,"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/T11019","display_name":"Image Enhancement Techniques","score":0.0005000000237487257,"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/multi-target-detection","display_name":"multi-target detection","score":0.8799999952316284},{"id":"https://openalex.org/keywords/low-light-images","display_name":"low-light images","score":0.8360000252723694},{"id":"https://openalex.org/keywords/yolov9","display_name":"YOLOv9","score":0.9559999704360962},{"id":"https://openalex.org/keywords/laplacian-pyramid","display_name":"Laplacian pyramid","score":0.9879999756813049},{"id":"https://openalex.org/keywords/dpm","display_name":"DPM","score":0.5799999833106995},{"id":"https://openalex.org/keywords/autonomous-driving","display_name":"autonomous driving","score":0.7260000109672546},{"id":"https://openalex.org/keywords/nighttime-driving","display_name":"night driving","score":0.718999981880188},{"id":"https://openalex.org/keywords/bdd100k","display_name":"BDD100K","score":0.9480000138282776}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6977096796035767},{"id":"https://openalex.org/C2987419075","wikidata":"https://www.wikidata.org/wiki/Q8004","display_name":"Traffic signal","level":2,"score":0.47871947288513184},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4511812925338745},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4365784227848053},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.42108842730522156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37753933668136597},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37493085861206055},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.18665584921836853},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.15848574042320251}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3703935.3704109","doi":"https://doi.org/10.1145/3703935.3704109","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3703935.3704109","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3703935.3704109","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 7th International Conference on Artificial Intelligence and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3703935.3704109","doi":"https://doi.org/10.1145/3703935.3704109","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3703935.3704109","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3703935.3704109","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 7th International Conference on Artificial Intelligence and Pattern Recognition","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.7250000238418579,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"},{"score":0.4943999946117401,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411730833.pdf","grobid_xml":"https://content.openalex.org/works/W4411730833.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2136094925","https://openalex.org/W2407521645","https://openalex.org/W2817549221","https://openalex.org/W2893333553","https://openalex.org/W3034971973","https://openalex.org/W3042011474","https://openalex.org/W4386076325","https://openalex.org/W4386939303","https://openalex.org/W4390872514","https://openalex.org/W4403770406"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W4409439182","https://openalex.org/W2359800014","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W2181413294","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"In":[0],"intelligent":[1],"driving":[2,148,156,209],"systems,":[3],"existing":[4],"detection":[5,17,34,49,169,184],"algorithms":[6],"perform":[7],"well":[8],"on":[9,37],"high-resolution":[10],"and":[11,60,86,122],"clear":[12],"images,":[13],"but":[14],"the":[15,41,62,65,79,98,104,120,126,130,138,141,153,174,188,200],"average":[16],"accuracy":[18],"decreases":[19],"under":[20,50,170],"low":[21,30,51,91,145,171,211],"light":[22,31,52,92,146,172,212],"conditions":[23],"at":[24],"night.":[25],"This":[26],"paper":[27],"proposes":[28],"a":[29,180,193],"traffic":[32,47,133,167],"multi-target":[33,168],"algorithm":[35],"based":[36],"YOLOv9":[38,176,190,202],"to":[39,84,115,187,199],"address":[40],"issue":[42],"of":[43,64,75,94,100,110,119,125,132,140],"reduced":[44],"AP":[45],"in":[46,57,90,183,196,210],"target":[48,134],"conditions.":[53,213],"Introducing":[54],"PE-NET":[55],"module":[56,83],"backbone:":[58],"calculating":[59],"storing":[61],"residual":[63],"original":[66,189,201],"image":[67,121],"through":[68],"Laplacian":[69],"pyramid,":[70],"obtaining":[71],"four":[72],"different":[73,95,111],"sizes":[74,112],"detail":[76,106],"information;":[77],"Using":[78],"LEF":[80],"low-frequency":[81,88],"enhancement":[82],"capture":[85],"enhance":[87],"information":[89,109,118,124],"images":[93],"sizes,":[96],"reducing":[97],"impact":[99],"noise;":[101],"By":[102],"using":[103],"DPM":[105],"processing":[107],"module,":[108],"is":[113,205],"processed":[114],"obtain":[116],"domain":[117],"edge":[123],"target,":[127],"thereby":[128],"improving":[129],"performance":[131,139,185],"detection.":[135],"To":[136],"validate":[137],"proposed":[142],"algorithm,":[143],"5000":[144],"autonomous":[147,155],"data":[149],"were":[150],"extracted":[151],"from":[152],"BDD100K":[154],"dataset":[157],"for":[158,166,208],"experimental":[159,162],"verification.":[160],"The":[161],"results":[163],"show":[164],"that":[165],"conditions,":[173],"improved":[175],"network":[177],"has":[178],"achieved":[179],"good":[181],"improvement":[182],"compared":[186],"network,":[191],"with":[192],"6.79%":[194],"increase":[195],"mAp.":[197],"Compared":[198],"model,":[203],"it":[204],"more":[206],"suitable":[207]},"counts_by_year":[],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2025-10-10T00:00:00"}
