{"id":"https://openalex.org/W3185748252","doi":"https://doi.org/10.1155/2021/5410049","title":"[Retracted] A Review of Intelligent Driving Pedestrian Detection Based on Deep Learning","display_name":"[Retracted] A Review of Intelligent Driving Pedestrian Detection Based on Deep Learning","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3185748252","doi":"https://doi.org/10.1155/2021/5410049","mag":"3185748252","pmid":"https://pubmed.ncbi.nlm.nih.gov/34335717"},"language":"en","primary_location":{"id":"doi:10.1155/2021/5410049","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/5410049","pdf_url":"https://downloads.hindawi.com/journals/cin/2021/5410049.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"type":"review","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/cin/2021/5410049.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007648915","display_name":"Di Tian","orcid":"https://orcid.org/0000-0001-5049-6452"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Tian","raw_affiliation_strings":["School of Automobile, Chang'an University, Xi'an, Shaanxi 710064, China","School of Automobile, Chang'an University, Xi'an, Shaanxi 710064"],"affiliations":[{"raw_affiliation_string":"School of Automobile, Chang'an University, Xi'an, Shaanxi 710064, China","institution_ids":["https://openalex.org/I25355098"]},{"raw_affiliation_string":"School of Automobile, Chang'an University, Xi'an, Shaanxi 710064","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086735553","display_name":"Yi Han","orcid":"https://orcid.org/0000-0001-8089-0805"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yi Han","raw_affiliation_strings":["School of Automobile, Chang'an University, Xi'an, Shaanxi 710064, China","School of Automobile, Chang'an University, Xi'an, Shaanxi 710064"],"affiliations":[{"raw_affiliation_string":"School of Automobile, Chang'an University, Xi'an, Shaanxi 710064, China","institution_ids":["https://openalex.org/I25355098"]},{"raw_affiliation_string":"School of Automobile, Chang'an University, Xi'an, Shaanxi 710064","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066028981","display_name":"Biyao Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biyao Wang","raw_affiliation_strings":["School of Automobile, Chang'an University, Xi'an, Shaanxi 710064, China","School of Automobile, Chang'an University, Xi'an, Shaanxi 710064"],"affiliations":[{"raw_affiliation_string":"School of Automobile, Chang'an University, Xi'an, Shaanxi 710064, China","institution_ids":["https://openalex.org/I25355098"]},{"raw_affiliation_string":"School of Automobile, Chang'an University, Xi'an, Shaanxi 710064","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101886553","display_name":"Tian Guan","orcid":"https://orcid.org/0000-0002-4962-2332"},"institutions":[{"id":"https://openalex.org/I25355098","display_name":"Chang'an University","ror":"https://ror.org/05mxya461","country_code":"CN","type":"education","lineage":["https://openalex.org/I25355098"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Guan","raw_affiliation_strings":["School of Automobile, Chang'an University, Xi'an, Shaanxi 710064, China","School of Automobile, Chang'an University, Xi'an, Shaanxi 710064"],"affiliations":[{"raw_affiliation_string":"School of Automobile, Chang'an University, Xi'an, Shaanxi 710064, China","institution_ids":["https://openalex.org/I25355098"]},{"raw_affiliation_string":"School of Automobile, Chang'an University, Xi'an, Shaanxi 710064","institution_ids":["https://openalex.org/I25355098"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100323752","display_name":"Wei Wei","orcid":"https://orcid.org/0000-0002-7566-2995"},"institutions":[{"id":"https://openalex.org/I4210131919","display_name":"Xi'an University of Technology","ror":"https://ror.org/038avdt50","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210131919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wei","raw_affiliation_strings":["School of Computer Science and Engineering, Xi'an University of Technology, Xi'an, Shaanxi 710048, China","School of Computer Science and Engineering, Xi'an University of Technology, Xi'an, Shaanxi 710048"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Xi'an University of Technology, Xi'an, Shaanxi 710048, China","institution_ids":["https://openalex.org/I4210131919"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Xi'an University of Technology, Xi'an, Shaanxi 710048","institution_ids":["https://openalex.org/I4210131919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5086735553"],"corresponding_institution_ids":["https://openalex.org/I25355098"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":2.8161,"has_fulltext":true,"cited_by_count":33,"citation_normalized_percentile":{"value":0.92235739,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"2021","issue":"1","first_page":"5410049","last_page":"5410049"},"is_retracted":true,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9904000163078308,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9736999869346619,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.8729057908058167},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.8619624972343445},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7757294178009033},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6568188667297363},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5751280784606934},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5133683085441589},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5105777382850647},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33603736758232117},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2218221127986908},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.1518251597881317},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11940324306488037}],"concepts":[{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.8729057908058167},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.8619624972343445},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7757294178009033},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6568188667297363},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5751280784606934},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5133683085441589},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5105777382850647},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33603736758232117},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2218221127986908},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.1518251597881317},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11940324306488037},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069636","descriptor_name":"Pedestrians","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069636","descriptor_name":"Pedestrians","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069636","descriptor_name":"Pedestrians","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069636","descriptor_name":"Pedestrians","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069636","descriptor_name":"Pedestrians","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001334","descriptor_name":"Automobile Driving","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001334","descriptor_name":"Automobile Driving","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001334","descriptor_name":"Automobile Driving","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001334","descriptor_name":"Automobile Driving","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001334","descriptor_name":"Automobile Driving","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007360","descriptor_name":"Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007360","descriptor_name":"Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007360","descriptor_name":"Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007360","descriptor_name":"Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007360","descriptor_name":"Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1155/2021/5410049","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/5410049","pdf_url":"https://downloads.hindawi.com/journals/cin/2021/5410049.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},{"id":"pmid:34335717","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34335717","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational intelligence and neuroscience","raw_type":null},{"id":"pmh:oai:doaj.org/article:ef71660d77ff45b3909b9ba1555be87d","is_oa":true,"landing_page_url":"https://doaj.org/article/ef71660d77ff45b3909b9ba1555be87d","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational Intelligence and Neuroscience, Vol 2021 (2021)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8318761","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8318761","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Comput Intell Neurosci","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1155/2021/5410049","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/5410049","pdf_url":"https://downloads.hindawi.com/journals/cin/2021/5410049.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2376276132","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3015296205","display_name":null,"funder_award_id":"2020YFB13134","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3117641069","display_name":null,"funder_award_id":"2020YFB1313400","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3196644182","display_name":null,"funder_award_id":"U1864204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3662573199","display_name":null,"funder_award_id":"300102220204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5517038434","display_name":null,"funder_award_id":"2020YFB","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6090119572","display_name":null,"funder_award_id":"300102220204","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6977012479","display_name":null,"funder_award_id":"U1864204","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G698105332","display_name":null,"funder_award_id":"300102220204","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G7110923200","display_name":null,"funder_award_id":"U1864204,","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8951484681","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3185748252.pdf","grobid_xml":"https://content.openalex.org/works/W3185748252.grobid-xml"},"referenced_works_count":117,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1475617732","https://openalex.org/W1507506748","https://openalex.org/W1536680647","https://openalex.org/W1580284685","https://openalex.org/W1650122911","https://openalex.org/W1861492603","https://openalex.org/W1987622870","https://openalex.org/W1989881905","https://openalex.org/W2016593285","https://openalex.org/W2020062325","https://openalex.org/W2031454541","https://openalex.org/W2031489346","https://openalex.org/W2037227137","https://openalex.org/W2040938106","https://openalex.org/W2065313860","https://openalex.org/W2097117768","https://openalex.org/W2097324787","https://openalex.org/W2098699644","https://openalex.org/W2102605133","https://openalex.org/W2102691275","https://openalex.org/W2109255472","https://openalex.org/W2120419212","https://openalex.org/W2121955477","https://openalex.org/W2129305389","https://openalex.org/W2150066425","https://openalex.org/W2152473410","https://openalex.org/W2156547346","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2176950688","https://openalex.org/W2183341477","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2216125271","https://openalex.org/W2263294840","https://openalex.org/W2291533986","https://openalex.org/W2302502886","https://openalex.org/W2319216146","https://openalex.org/W2319525267","https://openalex.org/W2334760274","https://openalex.org/W2336589871","https://openalex.org/W2419659284","https://openalex.org/W2467739100","https://openalex.org/W2490270993","https://openalex.org/W2543031351","https://openalex.org/W2548197316","https://openalex.org/W2557728737","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2586462056","https://openalex.org/W2592268053","https://openalex.org/W2595141258","https://openalex.org/W2607037079","https://openalex.org/W2609389856","https://openalex.org/W2613599172","https://openalex.org/W2613718673","https://openalex.org/W2662998588","https://openalex.org/W2780843001","https://openalex.org/W2792824754","https://openalex.org/W2794284562","https://openalex.org/W2798355657","https://openalex.org/W2798401637","https://openalex.org/W2802636049","https://openalex.org/W2803350420","https://openalex.org/W2803740064","https://openalex.org/W2883363148","https://openalex.org/W2884561390","https://openalex.org/W2892796519","https://openalex.org/W2895451584","https://openalex.org/W2895745202","https://openalex.org/W2896540732","https://openalex.org/W2904594457","https://openalex.org/W2914922193","https://openalex.org/W2920910281","https://openalex.org/W2943227603","https://openalex.org/W2945705301","https://openalex.org/W2962850098","https://openalex.org/W2963037989","https://openalex.org/W2963058975","https://openalex.org/W2963087201","https://openalex.org/W2963150697","https://openalex.org/W2963287324","https://openalex.org/W2963446712","https://openalex.org/W2963584620","https://openalex.org/W2963624663","https://openalex.org/W2963681621","https://openalex.org/W2963769056","https://openalex.org/W2963857746","https://openalex.org/W2963878020","https://openalex.org/W2963998989","https://openalex.org/W2964350391","https://openalex.org/W2974049832","https://openalex.org/W2985842864","https://openalex.org/W2986364197","https://openalex.org/W2988452521","https://openalex.org/W2988916019","https://openalex.org/W2995812702","https://openalex.org/W2997670356","https://openalex.org/W2997747012","https://openalex.org/W3009141248","https://openalex.org/W3013764028","https://openalex.org/W3016561304","https://openalex.org/W3016647858","https://openalex.org/W3042011474","https://openalex.org/W3082555471","https://openalex.org/W3085633928","https://openalex.org/W3098140381","https://openalex.org/W3106250896","https://openalex.org/W3110522415","https://openalex.org/W3111016073","https://openalex.org/W3134690045","https://openalex.org/W3135723415","https://openalex.org/W3140393417","https://openalex.org/W4241200240","https://openalex.org/W4320002812","https://openalex.org/W6728859890"],"related_works":["https://openalex.org/W2972620127","https://openalex.org/W2981141433","https://openalex.org/W2802018156","https://openalex.org/W4313315626","https://openalex.org/W2949096641","https://openalex.org/W2101531944","https://openalex.org/W4380075502","https://openalex.org/W2970686063","https://openalex.org/W4320729701","https://openalex.org/W2922437833"],"abstract_inverted_index":{"Pedestrian":[0],"detection":[1,47,88,112,124,135,147,161,172],"is":[2,94,104,174],"a":[3,58,70,77],"specific":[4],"application":[5,25,85],"of":[6,30,43,72,79,86,95,122,133,155,159,170,179],"object":[7,12],"detection.":[8],"Compared":[9],"with":[10,39],"general":[11],"detection,":[13],"it":[14,22,62,93,103],"shows":[15],"similarities":[16],"and":[17,33,63,74,125,149],"unique":[18],"characteristics.":[19],"In":[20,36],"addition,":[21],"has":[23,49],"important":[24],"value":[26],"in":[27,89,137],"the":[28,40,84,108,119,130,138,145,152,156,165,177,180],"fields":[29],"intelligent":[31,90],"driving":[32,91],"security":[34],"monitoring.":[35],"recent":[37],"years,":[38],"rapid":[41],"development":[42,120,158,168],"deep":[44,139],"learning,":[45],"pedestrian":[46,87,123,134,146,160,171],"technology":[48,136,173],"also":[50],"made":[51],"great":[52],"progress.":[53],"However,":[54],"there":[55,67,75],"still":[56,69],"exists":[57],"huge":[59],"gap":[60],"between":[61],"human":[64],"perception.":[65],"Meanwhile,":[66],"are":[68,162],"lot":[71,78],"problems,":[73],"remains":[76],"room":[80],"for":[81],"research.":[82],"Regarding":[83],"technology,":[92],"necessity":[96],"to":[97,106],"ensure":[98],"its":[99],"real-time":[100],"performance.":[101],"Additionally,":[102],"necessary":[105],"lighten":[107],"model":[109],"while":[110],"ensuring":[111],"accuracy.":[113],"This":[114],"paper":[115],"first":[116],"briefly":[117],"describes":[118],"process":[121],"then":[126],"concentrates":[127],"on":[128],"summarizing":[129,144],"research":[131],"results":[132],"learning":[140],"stage.":[141],"Subsequently,":[142],"by":[143],"dataset":[148],"evaluation":[150],"criteria,":[151],"core":[153],"issues":[154],"current":[157],"analyzed.":[163],"Finally,":[164],"next":[166],"possible":[167],"direction":[169],"explained":[175],"at":[176],"end":[178],"paper.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":9}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
