{"id":"https://openalex.org/W4293198759","doi":"https://doi.org/10.1109/tits.2022.3156267","title":"A Stable Lightweight and Adaptive Feature Enhanced Convolution Neural Network for Efficient Railway Transit Object Detection","display_name":"A Stable Lightweight and Adaptive Feature Enhanced Convolution Neural Network for Efficient Railway Transit Object Detection","publication_year":2022,"publication_date":"2022-03-23","ids":{"openalex":"https://openalex.org/W4293198759","doi":"https://doi.org/10.1109/tits.2022.3156267"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2022.3156267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3156267","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-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/A5100419650","display_name":"Tao Ye","orcid":"https://orcid.org/0000-0002-1814-530X"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Ye","raw_affiliation_strings":["School of Mechanical Electronic and Information Engineering, China University of Mining and Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1814-530X","affiliations":[{"raw_affiliation_string":"School of Mechanical Electronic and Information Engineering, China University of Mining and Technology, Beijing, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043083428","display_name":"Zongyang Zhao","orcid":"https://orcid.org/0000-0002-0318-3549"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongyang Zhao","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, China University of Mining and Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0318-3549","affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, China University of Mining and Technology, Beijing, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057085283","display_name":"Shouan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shouan Wang","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, China University of Mining and Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, China University of Mining and Technology, Beijing, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051655313","display_name":"Fuqiang Zhou","orcid":"https://orcid.org/0000-0001-9341-9342"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuqiang Zhou","raw_affiliation_strings":["School of Instrumentation and Opto-Electronics Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9341-9342","affiliations":[{"raw_affiliation_string":"School of Instrumentation and Opto-Electronics Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003491781","display_name":"Xiao\u2010Zhi Gao","orcid":"https://orcid.org/0000-0002-0078-5675"},"institutions":[{"id":"https://openalex.org/I175532246","display_name":"University of Eastern Finland","ror":"https://ror.org/00cyydd11","country_code":"FI","type":"education","lineage":["https://openalex.org/I175532246"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Xiaozhi Gao","raw_affiliation_strings":["School of Computing, University of Eastern Finland, Kuopio, Finland"],"raw_orcid":"https://orcid.org/0000-0002-0078-5675","affiliations":[{"raw_affiliation_string":"School of Computing, University of Eastern Finland, Kuopio, Finland","institution_ids":["https://openalex.org/I175532246"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.1631,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.95336759,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"23","issue":"10","first_page":"17952","last_page":"17965"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9994999766349792,"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":0.9994999766349792,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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":0.9611999988555908,"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/feature-extraction","display_name":"Feature extraction","score":0.718488872051239},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6952626705169678},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.636419951915741},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6291893720626831},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5334166884422302},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5314257144927979},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4935849905014038},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4562285542488098},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.43275901675224304},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3979077935218811},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.393635630607605},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33769309520721436}],"concepts":[{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.718488872051239},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6952626705169678},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.636419951915741},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6291893720626831},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5334166884422302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5314257144927979},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4935849905014038},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4562285542488098},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.43275901675224304},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3979077935218811},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.393635630607605},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33769309520721436},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2022.3156267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2022.3156267","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.4000000059604645}],"awards":[{"id":"https://openalex.org/G1668351443","display_name":null,"funder_award_id":"52121003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4907733051","display_name":null,"funder_award_id":"52075027","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W287601400","https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1861492603","https://openalex.org/W1985926812","https://openalex.org/W2011514413","https://openalex.org/W2102605133","https://openalex.org/W2120994161","https://openalex.org/W2194775991","https://openalex.org/W2292406966","https://openalex.org/W2326558644","https://openalex.org/W2332217194","https://openalex.org/W2519371714","https://openalex.org/W2549139847","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2579985080","https://openalex.org/W2742332513","https://openalex.org/W2791392402","https://openalex.org/W2796529013","https://openalex.org/W2800179847","https://openalex.org/W2801850762","https://openalex.org/W2806070179","https://openalex.org/W2808267564","https://openalex.org/W2889668936","https://openalex.org/W2899526967","https://openalex.org/W2962766617","https://openalex.org/W2962829974","https://openalex.org/W2962845546","https://openalex.org/W2962992847","https://openalex.org/W2963037989","https://openalex.org/W2963125010","https://openalex.org/W2963342610","https://openalex.org/W2963420686","https://openalex.org/W2991089415","https://openalex.org/W2997747012","https://openalex.org/W3004826650","https://openalex.org/W3014107482","https://openalex.org/W3014560200","https://openalex.org/W3018757597","https://openalex.org/W3034971973","https://openalex.org/W3084551966","https://openalex.org/W3106250896","https://openalex.org/W4293584584","https://openalex.org/W6639102338","https://openalex.org/W6732243160","https://openalex.org/W6749493692","https://openalex.org/W6749810415","https://openalex.org/W6750227808","https://openalex.org/W6771062828","https://openalex.org/W6777046832","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W3135697610","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W2922442631","https://openalex.org/W4390494008","https://openalex.org/W2964954556","https://openalex.org/W2969228573","https://openalex.org/W2963690996"],"abstract_inverted_index":{"Obstacles":[0],"in":[1,37,44,56,80,146],"front":[2],"of":[3,23,78,92,149,157,175,183,196,207,215],"a":[4,7,24,65,120,153,172,179,193,211],"train":[5,25],"pose":[6],"significant":[8],"threat":[9],"to":[10,84],"traffic":[11,82,188],"safety,":[12],"and":[13,42,70,105,122,134,178,202,210,229,242],"many":[14],"accidents":[15],"happen":[16],"under":[17,142],"shunting":[18,45],"mode":[19],"when":[20],"the":[21,39,102,132,138,147,168,186,235,246,253],"speed":[22,43,174,195],"is":[26,50,249],"below":[27],"45":[28],"km/h.":[29],"The":[30,88,95,111,125],"existing":[31],"track":[32],"object\u2013detection":[33],"algorithms":[34],"encounter":[35],"difficulty":[36],"balancing":[38],"detection":[40,77,140,173,194,228,232],"precision":[41,182,214],"mode.":[46],"Additionally,":[47,234],"their":[48],"accuracy":[49,141],"insufficient,":[51],"particularly":[52,145],"for":[53,75,185,217,224],"small":[54,150],"objects":[55],"complex":[57,143],"environments.":[58],"To":[59],"address":[60],"these":[61],"problems,":[62],"we":[63],"propose":[64],"stable":[66,96],"lightweight":[67,112],"feature":[68,72,98,113,117,128],"extraction":[69,99,114,118],"adaptive":[71,127],"fusion":[73,129],"network":[74,90],"real-time":[76],"obstacles":[79],"railway":[81,187,226],"scenarios":[83],"ensure":[85],"driving":[86],"safety.":[87],"proposed":[89,169,247],"consists":[91],"three":[93],"modules.":[94],"bottom":[97],"module":[100,115,130],"reduces":[101],"computational":[103],"load":[104],"extracts":[106],"more":[107],"image":[108,133],"information":[109],"stably.":[110],"improves":[116],"using":[119],"simple":[121],"effective":[123],"network.":[124],"enhanced":[126],"fuses":[131],"original":[135],"features,":[136],"improving":[137],"multiscale":[139],"environments,":[144],"case":[148],"objects.":[151],"With":[152],"default":[154],"input":[155],"size":[156],"416":[158],"<inline-formula":[159],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[160],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[161],"<tex-math":[162],"notation=\"LaTeX\">$\\times":[163],"416$":[164],"</tex-math></inline-formula>":[165],"pixels":[166],"(px),":[167],"method":[170],"achieves":[171],"81":[176],"FPS":[177,198,200],"mean":[180,212],"average":[181,213],"94.75%":[184],"dataset":[189],"as":[190,192],"well":[191],"78":[197],"(26":[199],"faster":[201],"0.47%":[203],"higher":[204],"than":[205,252],"those":[206],"YOLOv4,":[208],"respectively)":[209],"42.5%":[216],"MS":[218],"COCO.":[219],"This":[220],"indicates":[221],"its":[222],"potential":[223],"real-world":[225],"object":[227],"other":[230],"multi-target":[231],"tasks.":[233],"experimental":[236],"results":[237],"based":[238],"on":[239],"PASCAL":[240],"VOC2007":[241],"VOC2012":[243],"indicate":[244],"that":[245],"approach":[248],"considerably":[250],"better":[251],"state-of-the-art":[254],"models.":[255]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-18T10:00:31.954636","created_date":"2025-10-10T00:00:00"}