{"id":"https://openalex.org/W4388208060","doi":"https://doi.org/10.1145/3604078.3604128","title":"Pedestrian target detection on high-speed pavement using improved YOLOv5","display_name":"Pedestrian target detection on high-speed pavement using improved YOLOv5","publication_year":2023,"publication_date":"2023-05-19","ids":{"openalex":"https://openalex.org/W4388208060","doi":"https://doi.org/10.1145/3604078.3604128"},"language":"en","primary_location":{"id":"doi:10.1145/3604078.3604128","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3604078.3604128","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th International Conference on Digital Image Processing","raw_type":"proceedings-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/A5101967991","display_name":"Qiang Hu","orcid":"https://orcid.org/0000-0003-3180-0740"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]},{"id":"https://openalex.org/I4210155611","display_name":"Ministry of Water Resources of the People's Republic of China","ror":"https://ror.org/04e698d63","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210155611"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiang Hu","raw_affiliation_strings":["Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, China and \rCollege of Computer and Information, Hohai University, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, China and \rCollege of Computer and Information, Hohai University, China","institution_ids":["https://openalex.org/I163340411","https://openalex.org/I4210155611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110664833","display_name":"Han Liu","orcid":"https://orcid.org/0009-0003-0645-6455"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]},{"id":"https://openalex.org/I4210155611","display_name":"Ministry of Water Resources of the People's Republic of China","ror":"https://ror.org/04e698d63","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210155611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Liu","raw_affiliation_strings":["Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, China and \rCollege of Computer and Information, Hohai University, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, China and \rCollege of Computer and Information, Hohai University, China","institution_ids":["https://openalex.org/I163340411","https://openalex.org/I4210155611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101705185","display_name":"Zhi-Hao Chen","orcid":"https://orcid.org/0009-0002-5864-7934"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]},{"id":"https://openalex.org/I4210155611","display_name":"Ministry of Water Resources of the People's Republic of China","ror":"https://ror.org/04e698d63","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210155611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi-Hao Chen","raw_affiliation_strings":["Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, China and \rCollege of Computer and Information, Hohai University, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, China and \rCollege of Computer and Information, Hohai University, China","institution_ids":["https://openalex.org/I163340411","https://openalex.org/I4210155611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040006968","display_name":"Hexuan Hu","orcid":"https://orcid.org/0000-0002-4328-0693"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]},{"id":"https://openalex.org/I4210155611","display_name":"Ministry of Water Resources of the People's Republic of China","ror":"https://ror.org/04e698d63","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210155611"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He-Xuan Hu","raw_affiliation_strings":["Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, China and \rCollege of Computer and Information, Hohai University, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, China and \rCollege of Computer and Information, Hohai University, China","institution_ids":["https://openalex.org/I163340411","https://openalex.org/I4210155611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100449277","display_name":"Ye Zhang","orcid":"https://orcid.org/0000-0001-6093-4348"},"institutions":[{"id":"https://openalex.org/I4210155611","display_name":"Ministry of Water Resources of the People's Republic of China","ror":"https://ror.org/04e698d63","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210155611"]},{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Zhang","raw_affiliation_strings":["Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, China and \rCollege of Computer and Information, Hohai University, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Water Big Data Technology of Ministry of Water Resources, Hohai University, China and \rCollege of Computer and Information, Hohai University, China","institution_ids":["https://openalex.org/I163340411","https://openalex.org/I4210155611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036249030","display_name":"Zhen-Yun Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen-Yun Hu","raw_affiliation_strings":["Business School, Hohai University, China"],"affiliations":[{"raw_affiliation_string":"Business School, Hohai University, China","institution_ids":["https://openalex.org/I163340411"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101967991"],"corresponding_institution_ids":["https://openalex.org/I163340411","https://openalex.org/I4210155611"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14115292,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9988999962806702,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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":0.8914040327072144},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.7885562181472778},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7055293321609497},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.6719424724578857},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6252378821372986},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5905041098594666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5583025217056274},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5413126945495605},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5280947089195251},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.4745420217514038},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.45486941933631897},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4446568489074707},{"id":"https://openalex.org/keywords/pedestrian-crossing","display_name":"Pedestrian crossing","score":0.44179296493530273},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3870910406112671},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2036973237991333},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.1187816858291626},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11560171842575073}],"concepts":[{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.8914040327072144},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.7885562181472778},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7055293321609497},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.6719424724578857},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6252378821372986},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5905041098594666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5583025217056274},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5413126945495605},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5280947089195251},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.4745420217514038},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.45486941933631897},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4446568489074707},{"id":"https://openalex.org/C2777819797","wikidata":"https://www.wikidata.org/wiki/Q8010","display_name":"Pedestrian crossing","level":3,"score":0.44179296493530273},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3870910406112671},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2036973237991333},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.1187816858291626},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11560171842575073},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3604078.3604128","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3604078.3604128","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th International Conference on Digital Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2076881576","https://openalex.org/W2102605133","https://openalex.org/W2739491435","https://openalex.org/W2963315052","https://openalex.org/W2991844793","https://openalex.org/W3092674949","https://openalex.org/W3093414282","https://openalex.org/W3113135143","https://openalex.org/W3120757908","https://openalex.org/W3153249728","https://openalex.org/W3156179898","https://openalex.org/W4205781006","https://openalex.org/W4207043621","https://openalex.org/W4291910385","https://openalex.org/W6639461879"],"related_works":["https://openalex.org/W2972620127","https://openalex.org/W187110833","https://openalex.org/W2981141433","https://openalex.org/W2905794575","https://openalex.org/W122740207","https://openalex.org/W4388221821","https://openalex.org/W650967530","https://openalex.org/W4390813505","https://openalex.org/W1969216335","https://openalex.org/W1486225309"],"abstract_inverted_index":{"In":[0,132],"order":[1],"to":[2,19,50,106,126,141],"effectively":[3],"reduce":[4],"traffic":[5],"accidents":[6],"caused":[7],"by":[8,152],"pedestrians":[9,54],"crossing":[10],"highways,":[11],"this":[12,180],"paper":[13,60,181],"takes":[14],"highways":[15],"as":[16],"a":[17,85,100,115],"scene":[18],"conduct":[20],"pedestrian":[21,28,44,65,145,150,174,187],"target":[22,29,66,175],"detection":[23,30,38,67,86,137,161,166,176,184],"research.":[24],"Currently,":[25],"algorithms":[26],"for":[27,40,95,111],"in":[31,79,88,114,179,189],"highway":[32],"scenes":[33],"have":[34],"problems":[35],"with":[36],"low":[37],"accuracy":[39],"small":[41,112],"and":[42,46,55,76,147,156,164],"occluded":[43],"units,":[45],"it":[47],"is":[48,70,77,139],"difficult":[49],"distinguish":[51,142],"between":[52,143,197],"ordinary":[53,144],"road":[56],"construction":[57],"personnel.":[58],"This":[59],"proposes":[61],"an":[62,134],"improved":[63,78,172],"YOLOv5":[64,173],"algorithm,":[68],"which":[69],"based":[71],"on":[72],"the":[73,89,154,160,165,171,183,195],"YOLOv5l":[74],"model":[75],"three":[80],"aspects:":[81],"1)":[82],"By":[83],"adding":[84],"layer":[87],"backbone":[90],"network,":[91],"Achieving":[92],"feature":[93,130],"extraction":[94],"smaller":[96],"targets;":[97],"2)":[98],"Introducing":[99],"Convolutional":[101],"Block":[102],"Attention":[103],"Module":[104],"(CBAM)":[105],"highlight":[107],"regions":[108],"of":[109,159,186],"interest":[110],"targets":[113,188],"dynamically":[116],"weighted":[117],"manner;":[118],"3)":[119],"Integrate":[120],"Bidirectional":[121],"Feature":[122],"Pyramid":[123],"Network":[124],"(BiFPN)":[125],"achieve":[127],"higher":[128],"level":[129],"fusion.":[131],"addition,":[133],"interval":[135],"overlap":[136],"algorithm":[138,177],"proposed":[140,178],"units":[146,151],"other":[148],"non-ordinary":[149],"judging":[153],"intersection":[155],"combination":[157],"ratio":[158],"result":[162],"confidence":[163],"frame.":[167],"Experiments":[168],"show":[169],"that":[170],"improves":[182],"ability":[185],"complex":[190],"situations,":[191],"while":[192],"also":[193],"achieving":[194],"distinction":[196],"pedestrians.":[198]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
