{"id":"https://openalex.org/W2897278146","doi":"https://doi.org/10.1109/ivs.2018.8500650","title":"Traffic-Sign Spotting in the Wild via Deep Features","display_name":"Traffic-Sign Spotting in the Wild via Deep Features","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2897278146","doi":"https://doi.org/10.1109/ivs.2018.8500650","mag":"2897278146"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2018.8500650","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2018.8500650","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Intelligent Vehicles Symposium (IV)","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/A5054640178","display_name":"Jinkang Guo","orcid":"https://orcid.org/0000-0003-2633-6314"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinkang Guo","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048916697","display_name":"Jianyun Lu","orcid":"https://orcid.org/0000-0001-7187-8871"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianyun Lu","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076485255","display_name":"Yanyun Qu","orcid":"https://orcid.org/0000-0002-8926-4162"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanyun Qu","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101603861","display_name":"Cuihua Li","orcid":"https://orcid.org/0000-0001-9524-1592"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cuihua Li","raw_affiliation_strings":["Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.848,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.79507978,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"120","last_page":"125"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9965999722480774,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9965999722480774,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9940999746322632,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/traffic-sign","display_name":"Traffic sign","score":0.8986912965774536},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7323573231697083},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6852597594261169},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5425352454185486},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.4731491804122925},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43452996015548706},{"id":"https://openalex.org/keywords/traffic-sign-recognition","display_name":"Traffic sign recognition","score":0.4264965355396271},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.35558652877807617},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15691646933555603}],"concepts":[{"id":"https://openalex.org/C2983860417","wikidata":"https://www.wikidata.org/wiki/Q170285","display_name":"Traffic sign","level":3,"score":0.8986912965774536},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7323573231697083},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6852597594261169},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5425352454185486},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.4731491804122925},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43452996015548706},{"id":"https://openalex.org/C6528762","wikidata":"https://www.wikidata.org/wiki/Q1574298","display_name":"Traffic sign recognition","level":4,"score":0.4264965355396271},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.35558652877807617},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15691646933555603},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2018.8500650","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2018.8500650","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6100000143051147}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1531178552","https://openalex.org/W1536680647","https://openalex.org/W1566134554","https://openalex.org/W2006956748","https://openalex.org/W2042082479","https://openalex.org/W2052533453","https://openalex.org/W2109255472","https://openalex.org/W2115036400","https://openalex.org/W2117876524","https://openalex.org/W2137513642","https://openalex.org/W2150581781","https://openalex.org/W2161969291","https://openalex.org/W2163352848","https://openalex.org/W2163605009","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2479866714","https://openalex.org/W2625219738","https://openalex.org/W2949650786","https://openalex.org/W2963037989","https://openalex.org/W3106250896","https://openalex.org/W6684191040","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2156234372","https://openalex.org/W746432122","https://openalex.org/W2214884739","https://openalex.org/W3107474891","https://openalex.org/W1483316057","https://openalex.org/W174788178","https://openalex.org/W2033914206","https://openalex.org/W643638081","https://openalex.org/W58903715","https://openalex.org/W2156276529"],"abstract_inverted_index":{"This":[0],"paper":[1],"focuses":[2],"on":[3],"traffic":[4,15,25,35,45,65,73,96,114,133,152,158,180],"sign":[5,36,66,134,181],"spotting":[6],"(TSS":[7],"which":[8,81,107],"automatically":[9],"recognizes":[10],"not":[11,91],"only":[12,92],"the":[13,44,48,58,69,78,94,101,150,154,157,165,175,179],"conventional":[14],"signs":[16,46,74,97,106],"but":[17,98],"also":[18,99],"information,":[19,102],"facility":[20,103],"and":[21,24,42,87,104,136,156,167],"service":[22,105],"signs,":[23,153],"lights.":[26,115],"TSS":[27],"is":[28,51],"divided":[29],"into":[30],"two":[31],"sequential":[32],"tasks:":[33],"detecting":[34],"candidate":[37],"regions":[38],"in":[39,47,85,178],"an":[40,124],"image":[41],"recognizing":[43],"regions.":[49],"It":[50,90],"a":[52,64,119],"very":[53],"challenging":[54],"task.":[55],"We":[56,122,129,145],"make":[57,137],"following":[59],"contributions:":[60],"1)":[61],"we":[62,117],"create":[63],"collection":[67],"from":[68],"driverless":[70],"car.":[71],"The":[72,161],"are":[75,108],"shot":[76],"under":[77],"natural":[79],"environment":[80],"covers":[82],"large":[83],"variation":[84],"illuminance":[86],"weather":[88],"conditions.":[89],"contains":[93,100],"common":[95,151],"called":[109],"signposts,":[110],"as":[111,113],"well":[112],"2)":[116],"proposed":[118],"systematic":[120],"solution.":[121],"construct":[123],"Inception":[125],"convolutional":[126],"neural":[127],"network.":[128],"use":[130],"Faster-RCNN":[131],"for":[132,149],"detection":[135],"it":[138],"suitable":[139],"to":[140],"detect":[141],"small":[142],"targets.":[143],"3)":[144],"adopt":[146],"three":[147],"schemes":[148],"signposts":[155],"lights,":[159],"respectively.":[160],"experimental":[162],"results":[163],"demonstrate":[164],"effectiveness":[166],"efficiency":[168],"of":[169,184],"our":[170],"methods.":[171],"Our":[172],"methods":[173],"won":[174],"first":[176],"place":[177],"recognition":[182],"task":[183],"Intelligent":[185],"Vehicle":[186],"Future":[187],"Challenge":[188],"2017,":[189],"China.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}