{"id":"https://openalex.org/W2844606858","doi":"https://doi.org/10.1109/meco.2018.8406049","title":"Usage of fully convolutional network with clustering for traffic light detection","display_name":"Usage of fully convolutional network with clustering for traffic light detection","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2844606858","doi":"https://doi.org/10.1109/meco.2018.8406049","mag":"2844606858"},"language":"en","primary_location":{"id":"doi:10.1109/meco.2018.8406049","is_oa":false,"landing_page_url":"https://doi.org/10.1109/meco.2018.8406049","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 7th Mediterranean Conference on Embedded Computing (MECO)","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/A5025655729","display_name":"Dmitry Yudin","orcid":"https://orcid.org/0000-0002-1407-2633"},"institutions":[{"id":"https://openalex.org/I2803070147","display_name":"Belgorod State Technological University","ror":"https://ror.org/02v40vz65","country_code":"RU","type":"education","lineage":["https://openalex.org/I2803070147"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Dmitry Yudin","raw_affiliation_strings":["Department of Technical Cybernetics, Belgorod State Technological University named after V.G. Shukhov (BSTU n.a. V.G. Shukhov), Belgorod, Russian Federation"],"affiliations":[{"raw_affiliation_string":"Department of Technical Cybernetics, Belgorod State Technological University named after V.G. Shukhov (BSTU n.a. V.G. Shukhov), Belgorod, Russian Federation","institution_ids":["https://openalex.org/I2803070147"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079803942","display_name":"Dmitry Slavioglo","orcid":null},"institutions":[{"id":"https://openalex.org/I2803070147","display_name":"Belgorod State Technological University","ror":"https://ror.org/02v40vz65","country_code":"RU","type":"education","lineage":["https://openalex.org/I2803070147"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Dmitry Slavioglo","raw_affiliation_strings":["Department of Technical Cybernetics, Belgorod State Technological University named after V.G. Shukhov (BSTU n.a. V.G. Shukhov), Belgorod, Russian Federation"],"affiliations":[{"raw_affiliation_string":"Department of Technical Cybernetics, Belgorod State Technological University named after V.G. Shukhov (BSTU n.a. V.G. Shukhov), Belgorod, Russian Federation","institution_ids":["https://openalex.org/I2803070147"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5025655729"],"corresponding_institution_ids":["https://openalex.org/I2803070147"],"apc_list":null,"apc_paid":null,"fwci":0.9401,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.80604157,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9850000143051147,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9850000143051147,"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":0.9786999821662903,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.9685999751091003,"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/computer-science","display_name":"Computer science","score":0.767133891582489},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7639297246932983},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7180969715118408},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.652776837348938},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6070556640625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6058242917060852},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5873364806175232},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5108980536460876},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4455665349960327},{"id":"https://openalex.org/keywords/frame-rate","display_name":"Frame rate","score":0.4227406084537506},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4024932384490967},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.13942313194274902}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.767133891582489},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7639297246932983},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7180969715118408},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.652776837348938},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6070556640625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6058242917060852},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5873364806175232},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5108980536460876},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4455665349960327},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.4227406084537506},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4024932384490967},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.13942313194274902},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/meco.2018.8406049","is_oa":false,"landing_page_url":"https://doi.org/10.1109/meco.2018.8406049","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 7th Mediterranean Conference on Embedded Computing (MECO)","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":21,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1673310716","https://openalex.org/W1861492603","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W2395611524","https://openalex.org/W2512944926","https://openalex.org/W2557728737","https://openalex.org/W2613718673","https://openalex.org/W2737202447","https://openalex.org/W2754747741","https://openalex.org/W2963037989","https://openalex.org/W2963073398","https://openalex.org/W2963150697","https://openalex.org/W3106250896","https://openalex.org/W6620707391","https://openalex.org/W6637131181","https://openalex.org/W6639102338","https://openalex.org/W6639824700","https://openalex.org/W6711868289","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2804364458","https://openalex.org/W4298130764","https://openalex.org/W4321487865","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2969228573","https://openalex.org/W2977517636","https://openalex.org/W4310880131","https://openalex.org/W2810129309"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"consider":[4],"a":[5,14],"traffic":[6,21,36,111,125],"light":[7,75,126],"detector":[8,55],"constructed":[9],"on":[10,23,63,68,90,114,136],"the":[11,46,69,79,92,124,129,133],"basis":[12],"of":[13,45,110,123,131],"fully":[15,137],"convolutional":[16,138],"neural":[17,139],"network":[18,140],"for":[19,35,60,78,143],"segmenting":[20],"lights":[22,112],"image":[24],"and":[25,86,94,105,149],"subsequent":[26],"clustering,":[27],"which":[28],"allows":[29],"us":[30],"to":[31],"obtain":[32],"bounding":[33],"boxes":[34],"lights.":[37],"The":[38,121],"proposed":[39,80],"approach":[40,81,134],"is":[41,82,117],"compared":[42],"with":[43,141],"one":[44,115],"most":[47],"effective":[48],"object":[49],"detectors":[50],"-":[51],"Single":[52],"Shot":[53],"Multibox":[54],"(SSD).":[56],"We":[57],"implemented":[58],"algorithms":[59],"objects":[61],"detection":[62,76,113,127],"an":[64],"embedded":[65,144],"system":[66],"based":[67,135],"NVidia":[70],"Jetson":[71],"TX2":[72],"platform.":[73],"Traffic":[74],"recall":[77],"better":[83],"than":[84,88],"SSD":[85],"higher":[87],"0.9":[89],"both":[91],"testing":[93,107],"training":[95,103],"samples":[96],"from":[97],"relatively":[98],"small":[99],"data":[100],"set":[101],"(500":[102],"images":[104],"107":[106],"images).":[108],"Time":[109],"frame":[116],"about":[118],"50":[119],"ms.":[120],"results":[122],"prove":[128],"possibility":[130],"applying":[132],"clustering":[142],"autonomous":[145],"vehicle":[146],"control":[147],"systems":[148],"driver":[150],"assistance":[151],"systems.":[152]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
