{"id":"https://openalex.org/W6907234586","doi":"https://doi.org/10.21227/n4xw-cg56","title":"CURE-TSR: Challenging Unreal and Real Environments for Traffic Sign Recognition","display_name":"CURE-TSR: Challenging Unreal and Real Environments for Traffic Sign Recognition","publication_year":2019,"publication_date":"2019-10-10","ids":{"openalex":"https://openalex.org/W6907234586","doi":"https://doi.org/10.21227/n4xw-cg56"},"language":"en","primary_location":{"id":"doi:10.21227/n4xw-cg56","is_oa":true,"landing_page_url":"https://doi.org/10.21227/n4xw-cg56","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.21227/n4xw-cg56","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Temel, Dogancan","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Temel, Dogancan","raw_affiliation_strings":["Georgia Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kwon, Gukyeong","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kwon, Gukyeong","raw_affiliation_strings":["Georgia Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Prabhushankar, Mohit","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Prabhushankar, Mohit","raw_affiliation_strings":["Georgia Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":null,"display_name":"AlRegib, Ghassan","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"AlRegib, Ghassan","raw_affiliation_strings":["Georgia Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6978999972343445},{"id":"https://openalex.org/keywords/traffic-sign","display_name":"Traffic sign","score":0.5582000017166138},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.5292999744415283},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.48539999127388},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4733999967575073},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.45739999413490295}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8029999732971191},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6978999972343445},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5730999708175659},{"id":"https://openalex.org/C2983860417","wikidata":"https://www.wikidata.org/wiki/Q170285","display_name":"Traffic sign","level":3,"score":0.5582000017166138},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5292999744415283},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4977000057697296},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.48539999127388},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4733999967575073},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.45739999413490295},{"id":"https://openalex.org/C6528762","wikidata":"https://www.wikidata.org/wiki/Q1574298","display_name":"Traffic sign recognition","level":4,"score":0.4323999881744385},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30790001153945923},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.26460000872612},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2581999897956848},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25769999623298645},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.25699999928474426},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.25270000100135803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21227/n4xw-cg56","is_oa":true,"landing_page_url":"https://doi.org/10.21227/n4xw-cg56","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"}],"best_oa_location":{"id":"doi:10.21227/n4xw-cg56","is_oa":true,"landing_page_url":"https://doi.org/10.21227/n4xw-cg56","pdf_url":null,"source":{"id":"https://openalex.org/S7407051695","display_name":"IEEE DataPort","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"As":[0],"one":[1],"of":[2,17],"the":[3,15,49,62,68,93,103],"research":[4],"directions":[5],"at":[6],"OLIVES":[7],"Lab":[8],"@":[9],"Georgia":[10],"Tech,":[11],"we":[12,35],"focus":[13],"on":[14],"robustness":[16],"data-driven":[18],"algorithms":[19],"under":[20],"diverse":[21],"challenging":[22,56,153],"conditions":[23],"where":[24],"trained":[25],"models":[26],"can":[27],"possibly":[28],"be":[29],"depolyed.":[30],"To":[31],"achieve":[32],"this":[33],"goal,":[34],"introduced":[36],"a":[37],"large-sacle":[38],"(>2M":[39],"images)":[40],"traffic":[41,85],"sign":[42,59,86],"recognition":[43],"dataset":[44,64],"(CURE-TSR)":[45],"which":[46,71,155],"is":[47],"among":[48],"most":[50],"comprehensive":[51],"datasets":[52],"with":[53,80,102,143],"controlled":[54],"synthetic":[55],"conditions.":[57],"Traffic":[58],"images":[60,79,89,99],"in":[61],"CURE-TSR":[63],"were":[65,90,100,141],"cropped":[66],"from":[67,92],"CURE-TSD":[69],"dataset,":[70],"includes":[72],"around":[73],"1.7":[74],"million":[75,84],"real-world":[76],"and":[77,97,135,138,167,179],"simulator":[78],"more":[81,180],"than":[82],"2":[83],"instances.":[87],"Real-world":[88],"obtained":[91],"BelgiumTS":[94],"video":[95],"sequences":[96,140],"simulated":[98],"generated":[101],"Unreal":[104,137],"Engine":[105],"4":[106],"game":[107],"development":[108],"tool.":[109],"Sign":[110],"types":[111],"include":[112,156],"speed":[113],"limit,":[114],"goods":[115],"vehicles,":[116],"no":[117,119,121,126,128,132],"overtaking,":[118],"stopping,":[120],"parking,":[122],"stop,":[123],"bicycle,":[124],"hump,":[125],"left,":[127],"right,":[129],"priority":[130],"to,":[131],"entry,":[133],"yield,":[134],"parking.":[136],"real":[139],"processed":[142],"state-of-the-art":[144],"visual":[145],"effect":[146],"software":[147],"Adobe(c)":[148],"After":[149],"Effects":[150],"to":[151,172],"simulate":[152],"conditions,":[154],"rain,":[157],"snow,":[158],"haze,":[159],"shadow,":[160],"darkness,":[161],"brightness,":[162],"blurriness,":[163],"dirtiness,":[164],"colorlessness,":[165],"sensor":[166],"codec":[168],"errors.":[169],"Please":[170],"refer":[171],"our":[173],"GitHub":[174],"page":[175],"for":[176],"code,":[177],"papers,":[178],"information.":[181]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}