{"id":"https://openalex.org/W4376852295","doi":"https://doi.org/10.1145/3573942.3574028","title":"Research on Road Multi-scale Target Detection Method Based on Improved YOLOv5s","display_name":"Research on Road Multi-scale Target Detection Method Based on Improved YOLOv5s","publication_year":2022,"publication_date":"2022-09-23","ids":{"openalex":"https://openalex.org/W4376852295","doi":"https://doi.org/10.1145/3573942.3574028"},"language":"en","primary_location":{"id":"doi:10.1145/3573942.3574028","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3573942.3574028","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition","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/A5083133532","display_name":"Juanyi Zheng","orcid":"https://orcid.org/0000-0001-9765-135X"},"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":true,"raw_author_name":"Juanyi Zheng","raw_affiliation_strings":["Xi'an University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0001-9765-135X","affiliations":[{"raw_affiliation_string":"Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101519352","display_name":"Jie Pei","orcid":"https://orcid.org/0000-0002-2213-1533"},"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":"Pei Jie","raw_affiliation_strings":["Xi'an University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0002-2213-1533","affiliations":[{"raw_affiliation_string":"Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017719253","display_name":"Yuanyuan Lv","orcid":"https://orcid.org/0000-0003-3979-7814"},"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":"Yuanyuan Lv","raw_affiliation_strings":["Xi'an University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0003-3979-7814","affiliations":[{"raw_affiliation_string":"Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060925825","display_name":"Jinyu Mu","orcid":"https://orcid.org/0000-0002-9625-2805"},"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":"Jinyu Mu","raw_affiliation_strings":["Xi'an University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0002-9625-2805","affiliations":[{"raw_affiliation_string":"Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109636385","display_name":"Lirong Xing","orcid":"https://orcid.org/0000-0001-6101-4244"},"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":"Lirong Xing","raw_affiliation_strings":["Xi'an University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0000-0001-6101-4244","affiliations":[{"raw_affiliation_string":"Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5083133532"],"corresponding_institution_ids":["https://openalex.org/I4210136859"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17190982,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2021","issue":null,"first_page":"319","last_page":"325"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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":0.9995999932289124,"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/T13918","display_name":"Advanced Data and IoT Technologies","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/robustness","display_name":"Robustness (evolution)","score":0.8006342649459839},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.78444904088974},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5352663993835449},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4753006398677826},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.435535728931427},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.43124592304229736},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.37600380182266235},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35274767875671387},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11871623992919922},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07826611399650574}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8006342649459839},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.78444904088974},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5352663993835449},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4753006398677826},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.435535728931427},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.43124592304229736},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.37600380182266235},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35274767875671387},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11871623992919922},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07826611399650574},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3573942.3574028","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3573942.3574028","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 5th International Conference on Artificial Intelligence and Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2962766617","https://openalex.org/W2963037989","https://openalex.org/W2963271314","https://openalex.org/W2964461714","https://openalex.org/W3004860639","https://openalex.org/W3042011474","https://openalex.org/W6600002382","https://openalex.org/W6600488088","https://openalex.org/W6600903635","https://openalex.org/W6609741587"],"related_works":["https://openalex.org/W2770593030","https://openalex.org/W3154990682","https://openalex.org/W2560201613","https://openalex.org/W2171975302","https://openalex.org/W2022352247","https://openalex.org/W4312219546","https://openalex.org/W2377538627","https://openalex.org/W2107220315","https://openalex.org/W1589637664","https://openalex.org/W4281727072"],"abstract_inverted_index":{"In":[0,31,91],"the":[1,13,24,27,44,60,66,78,100,106,116,131,144,150],"practical":[2],"application":[3,145],"of":[4,16,26,47,80,108,146,152],"traffic":[5,18,52,153],"target":[6,28,81,110,154],"detection,":[7],"it":[8,134],"is":[9,40,74,96,128],"difficult":[10],"to":[11,42,76,87,98,104],"ensure":[12],"detection":[14,22,53],"accuracy":[15,45,107],"multi-scale":[17,48],"signs":[19],"in":[20,50,83,122,149],"real-time":[21,51,109],"because":[23],"scale":[25],"varies":[29],"greatly.":[30],"this":[32],"paper,":[33],"an":[34,93],"improved":[35,75],"method":[36,73,118],"based":[37],"on":[38],"YOLOv5s":[39],"proposed":[41,97,117],"address":[43],"problem":[46,79],"targets":[49],"by":[54],"adapting":[55],"its":[56,126],"data":[57,71],"enhancement":[58,72],"at":[59,65],"input":[61],"and":[62,125,138],"localisation":[63],"loss":[64,82],"output":[67],"respectively.":[68],"The":[69,112],"original":[70,101],"solve":[77],"a":[84,88,140],"small":[85],"range":[86],"certain":[89,141],"extent.":[90],"addition,":[92],"\u03b1-FEIOU":[94],"algorithm":[95,103],"replace":[99],"CIoU":[102],"improve":[105],"detection.":[111,155],"results":[113],"show":[114],"that":[115],"shows":[119],"good":[120],"performance":[121],"different":[123],"scenarios":[124],"effectiveness":[127],"confirmed.":[129],"At":[130],"same":[132],"time,":[133],"has":[135],"strong":[136],"robustness":[137],"provides":[139],"reference":[142],"for":[143],"deep":[147],"learning":[148],"field":[151]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}