{"id":"https://openalex.org/W4405284416","doi":"https://doi.org/10.1145/3702879.3702940","title":"Research on intelligent traffic pedestrian detection algorithm based on improved YOLOv8","display_name":"Research on intelligent traffic pedestrian detection algorithm based on improved YOLOv8","publication_year":2024,"publication_date":"2024-09-27","ids":{"openalex":"https://openalex.org/W4405284416","doi":"https://doi.org/10.1145/3702879.3702940"},"language":"en","primary_location":{"id":"doi:10.1145/3702879.3702940","doi":"https://doi.org/10.1145/3702879.3702940","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3702879.3702940","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3702879.3702940?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 2nd International Conference on Internet of Things and Cloud Computing Technology","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/10.1145/3702879.3702940?download=true","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031945301","display_name":"Yurong Yue","orcid":"https://orcid.org/0009-0005-1693-8938","observed_orcids":["https://orcid.org/0009-0005-1693-8938"]},"institutions":[{"id":"https://openalex.org/I165859042","display_name":"Huaibei Normal University","ror":"https://ror.org/03ek23472","country_code":"CN","type":"education","lineage":["https://openalex.org/I165859042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yurong Yue","raw_affiliation_strings":["Anhui Provincial Key Laboratory of Intelligent Computing and Application, Huaibei, China","School of Physics and Electronic Information, Huaibei Normal University, Huaibei, China"],"raw_orcid":"https://orcid.org/0009-0005-1693-8938","affiliations":[{"raw_affiliation_string":"Anhui Provincial Key Laboratory of Intelligent Computing and Application, Huaibei, China","institution_ids":[]},{"raw_affiliation_string":"School of Physics and Electronic Information, Huaibei Normal University, Huaibei, China","institution_ids":["https://openalex.org/I165859042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035938601","display_name":"Lihui Pan","orcid":"https://orcid.org/0009-0008-3311-5409","observed_orcids":["https://orcid.org/0009-0008-3311-5409"]},"institutions":[{"id":"https://openalex.org/I165859042","display_name":"Huaibei Normal University","ror":"https://ror.org/03ek23472","country_code":"CN","type":"education","lineage":["https://openalex.org/I165859042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihui Pan","raw_affiliation_strings":["Anhui Provincial Key Laboratory of Intelligent Computing and Application, Huaibei, China","School of Physics and Electronic Information, Huaibei Normal University, Huaibei, China"],"raw_orcid":"https://orcid.org/0009-0008-3311-5409","affiliations":[{"raw_affiliation_string":"Anhui Provincial Key Laboratory of Intelligent Computing and Application, Huaibei, China","institution_ids":[]},{"raw_affiliation_string":"School of Physics and Electronic Information, Huaibei Normal University, Huaibei, China","institution_ids":["https://openalex.org/I165859042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004215140","display_name":"Wei Shan","orcid":"https://orcid.org/0000-0001-7475-4866","observed_orcids":["https://orcid.org/0000-0001-7475-4866"]},"institutions":[{"id":"https://openalex.org/I165859042","display_name":"Huaibei Normal University","ror":"https://ror.org/03ek23472","country_code":"CN","type":"education","lineage":["https://openalex.org/I165859042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Shan","raw_affiliation_strings":["Anhui Provincial Key Laboratory of Intelligent Computing and Application, Huaibei, China","School of Physics and Electronic Information, Huaibei Normal University, Huaibei, China"],"raw_orcid":"https://orcid.org/0000-0001-7475-4866","affiliations":[{"raw_affiliation_string":"Anhui Provincial Key Laboratory of Intelligent Computing and Application, Huaibei, China","institution_ids":[]},{"raw_affiliation_string":"School of Physics and Electronic Information, Huaibei Normal University, Huaibei, China","institution_ids":["https://openalex.org/I165859042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I165859042"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25089127,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"354","last_page":"358"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9984999895095825,"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":0.9984999895095825,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.0006000000284984708,"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":0.0003000000142492354,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"pedestrian detection","score":0.9980000257492065},{"id":"https://openalex.org/keywords/yolov8","display_name":"YOLOv8","score":0.9559999704360962},{"id":"https://openalex.org/keywords/intelligent-transportation-systems","display_name":"intelligent transportation systems","score":0.6759999990463257},{"id":"https://openalex.org/keywords/traffic-scenes","display_name":"traffic scenes","score":0.5559999942779541},{"id":"https://openalex.org/keywords/coordinate-attention","display_name":"coordinate attention","score":0.7739999890327454},{"id":"https://openalex.org/keywords/occlusion-handling","display_name":"occlusion handling","score":0.7519999742507935},{"id":"https://openalex.org/keywords/illumination-variation","display_name":"illumination variation","score":0.7599999904632568},{"id":"https://openalex.org/keywords/missed-detection","display_name":"missed detection","score":0.6370000243186951},{"id":"https://openalex.org/keywords/object-detection","display_name":"object detection","score":0.45399999618530273}],"concepts":[{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.7352612614631653},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6805299520492554},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.6661322712898254},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3374282419681549},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32503727078437805},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.24889862537384033},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16859650611877441}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3702879.3702940","doi":"https://doi.org/10.1145/3702879.3702940","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3702879.3702940","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3702879.3702940?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 2nd International Conference on Internet of Things and Cloud Computing Technology","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3702879.3702940","doi":"https://doi.org/10.1145/3702879.3702940","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3702879.3702940","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3702879.3702940?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 2nd International Conference on Internet of Things and Cloud Computing Technology","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7250000238418579,"id":"https://metadata.un.org/sdg/11"}],"sustainable_development_goals_aurora":[{"display_name":"Sustainable cities and communities","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/11"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321435","display_name":"Anhui University","ror":"https://ror.org/05th6yx34"},{"id":"https://openalex.org/F4320328705","display_name":"Huaibei Normal University","ror":"https://ror.org/03ek23472"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405284416.pdf","grobid_xml":"https://content.openalex.org/works/W4405284416.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W1483870316","https://openalex.org/W1608462934","https://openalex.org/W1999853363","https://openalex.org/W3013202798","https://openalex.org/W3132396764","https://openalex.org/W3177052299","https://openalex.org/W4220863497","https://openalex.org/W4285150445","https://openalex.org/W4288550249","https://openalex.org/W4322746901","https://openalex.org/W4385420551","https://openalex.org/W4398756379","https://openalex.org/W4402754006"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2392100589","https://openalex.org/W2512789322","https://openalex.org/W3122828758","https://openalex.org/W2101960027","https://openalex.org/W4205958986","https://openalex.org/W2972620127","https://openalex.org/W2981141433"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,5,43,48,51,59,63,73,76,93,119,130,141,153,160],"problem":[3],"that":[4,129],"pedestrian":[6,31,54],"detection":[7,32,60,135,145],"effect":[8],"of":[9,50,67,132,143],"illumination":[10],"change,":[11],"occlusion":[12],"and":[13,57,87,97,105,108,140,158],"different":[14],"postures":[15],"is":[16,26,40,110,116],"not":[17],"good":[18],"in":[19],"intelligent":[20,154],"traffic":[21],"scene,":[22],"an":[23],"optimized":[24],"YOLOv8":[25],"proposed":[27,77],"to":[28,46,53,127],"enhance":[29,47],"its":[30],"ability.":[33],"Based":[34],"on":[35],"YOLOv8,":[36],"Coordinate":[37],"Attention":[38],"(CoordAtt)":[39],"introduced":[41],"into":[42],"backbone":[44],"network":[45],"sensitivity":[49],"model":[52],"location":[55],"information":[56],"improve":[58],"accuracy.":[61],"On":[62],"public":[64],"test":[65],"benchmark":[66],"Caltech":[68],"Pedestrian":[69],"Dataset,":[70],"compared":[71],"with":[72,92],"baseline":[74],"algorithm,":[75,95],"algorithm":[78,123],"improves":[79],"mAP0.5":[80,96],"by":[81,85,89,165],"1.3%,":[82],"mAP0.5:":[83,98],"0.95":[84,99],"0.3%,":[86],"LAMR":[88,109],"1.8%.":[90],"Compared":[91],"popular":[94,120],"are":[100],"as":[101,103,111,113],"high":[102],"0.875":[104],"0.543":[106],"respectively,":[107],"low":[112],"0.286,":[114],"which":[115,150],"better":[117],"than":[118],"algorithm.":[121],"The":[122],"has":[124,136,146],"been":[125,137,147],"tested":[126],"show":[128],"accuracy":[131],"excellent":[133],"performance":[134],"significantly":[138],"improved,":[139],"phenomenon":[142],"missed":[144,166],"greatly":[148],"reduced,":[149],"can":[151],"serve":[152],"transportation":[155],"more":[156],"effectively":[157],"reduce":[159],"potential":[161],"safety":[162],"hazards":[163],"caused":[164],"detection.":[167]},"counts_by_year":[],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2025-10-10T00:00:00"}