{"id":"https://openalex.org/W3119881741","doi":"https://doi.org/10.1109/iv47402.2020.9304590","title":"Deep Learning Based Traffic Signs Boundary Estimation","display_name":"Deep Learning Based Traffic Signs Boundary Estimation","publication_year":2020,"publication_date":"2020-10-19","ids":{"openalex":"https://openalex.org/W3119881741","doi":"https://doi.org/10.1109/iv47402.2020.9304590","mag":"3119881741"},"language":"en","primary_location":{"id":"doi:10.1109/iv47402.2020.9304590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv47402.2020.9304590","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-03194086","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058315283","display_name":"Emir Hrustic","orcid":null},"institutions":[{"id":"https://openalex.org/I17866349","display_name":"Universit\u00e9 F\u00e9d\u00e9rale de Toulouse Midi-Pyr\u00e9n\u00e9es","ror":"https://ror.org/004raaa70","country_code":"FR","type":"education","lineage":["https://openalex.org/I17866349"]},{"id":"https://openalex.org/I193033237","display_name":"Institut Superieur de l'Aeronautique et de l'Espace (ISAE-SUPAERO)","ror":"https://ror.org/04gyj6s21","country_code":"FR","type":"education","lineage":["https://openalex.org/I193033237"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Emir Hrustic","raw_affiliation_strings":["Universit\u00e9 de Toulouse, ISAE-SUPAERO, DEOS, Toulouse, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Toulouse, ISAE-SUPAERO, DEOS, Toulouse, France","institution_ids":["https://openalex.org/I17866349","https://openalex.org/I193033237"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044395767","display_name":"Zhujun Xu","orcid":"https://orcid.org/0000-0002-6867-0401"},"institutions":[{"id":"https://openalex.org/I17866349","display_name":"Universit\u00e9 F\u00e9d\u00e9rale de Toulouse Midi-Pyr\u00e9n\u00e9es","ror":"https://ror.org/004raaa70","country_code":"FR","type":"education","lineage":["https://openalex.org/I17866349"]},{"id":"https://openalex.org/I193033237","display_name":"Institut Superieur de l'Aeronautique et de l'Espace (ISAE-SUPAERO)","ror":"https://ror.org/04gyj6s21","country_code":"FR","type":"education","lineage":["https://openalex.org/I193033237"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Zhujun Xu","raw_affiliation_strings":["Universit\u00e9 de Toulouse, ISAE-SUPAERO, DEOS, Toulouse, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Toulouse, ISAE-SUPAERO, DEOS, Toulouse, France","institution_ids":["https://openalex.org/I17866349","https://openalex.org/I193033237"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041727589","display_name":"Damien Vivet","orcid":"https://orcid.org/0000-0003-1909-5591"},"institutions":[{"id":"https://openalex.org/I17866349","display_name":"Universit\u00e9 F\u00e9d\u00e9rale de Toulouse Midi-Pyr\u00e9n\u00e9es","ror":"https://ror.org/004raaa70","country_code":"FR","type":"education","lineage":["https://openalex.org/I17866349"]},{"id":"https://openalex.org/I193033237","display_name":"Institut Superieur de l'Aeronautique et de l'Espace (ISAE-SUPAERO)","ror":"https://ror.org/04gyj6s21","country_code":"FR","type":"education","lineage":["https://openalex.org/I193033237"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Damien Vivet","raw_affiliation_strings":["Universit\u00e9 de Toulouse, ISAE-SUPAERO, DEOS, Toulouse, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Toulouse, ISAE-SUPAERO, DEOS, Toulouse, France","institution_ids":["https://openalex.org/I17866349","https://openalex.org/I193033237"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3916,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.63705407,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"451","last_page":"456"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9991000294685364,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9986000061035156,"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/computer-science","display_name":"Computer science","score":0.774890661239624},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.720706045627594},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.655097484588623},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6081993579864502},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5879147052764893},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5566126108169556},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.550382673740387},{"id":"https://openalex.org/keywords/traffic-sign-recognition","display_name":"Traffic sign recognition","score":0.5212883949279785},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.4470755159854889},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.44278639554977417},{"id":"https://openalex.org/keywords/traffic-sign","display_name":"Traffic sign","score":0.34133997559547424},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.21786829829216003},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09084972739219666}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.774890661239624},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.720706045627594},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.655097484588623},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6081993579864502},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5879147052764893},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5566126108169556},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.550382673740387},{"id":"https://openalex.org/C6528762","wikidata":"https://www.wikidata.org/wiki/Q1574298","display_name":"Traffic sign recognition","level":4,"score":0.5212883949279785},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.4470755159854889},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.44278639554977417},{"id":"https://openalex.org/C2983860417","wikidata":"https://www.wikidata.org/wiki/Q170285","display_name":"Traffic sign","level":3,"score":0.34133997559547424},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.21786829829216003},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09084972739219666},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iv47402.2020.9304590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iv47402.2020.9304590","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-03194086v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03194086","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2020 IEEE Intelligent Vehicles Symposium (IV), Oct 2020, Las Vegas, United States. pp.451-456, &#x27E8;10.1109/IV47402.2020.9304590&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-03194086v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03194086","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2020 IEEE Intelligent Vehicles Symposium (IV), Oct 2020, Las Vegas, United States. pp.451-456, &#x27E8;10.1109/IV47402.2020.9304590&#x27E9;","raw_type":"Conference papers"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G3080453343","display_name":null,"funder_award_id":"DOS0075476 00","funder_id":"https://openalex.org/F4320321877","funder_display_name":"Fonds Unique Interminist\u00e9riel"},{"id":"https://openalex.org/G3893188265","display_name":"Visual semantic analysis: toward a smarter urban navigation","funder_award_id":"ANR-17-CE22-0001","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G8362639368","display_name":null,"funder_award_id":"ANR-17-CE22-0001-01","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"},{"id":"https://openalex.org/F4320321877","display_name":"Fonds Unique Interminist\u00e9riel","ror":"https://ror.org/04nx63b17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1677409904","https://openalex.org/W1686810756","https://openalex.org/W1799366690","https://openalex.org/W2002427601","https://openalex.org/W2067713319","https://openalex.org/W2097117768","https://openalex.org/W2111308925","https://openalex.org/W2151103935","https://openalex.org/W2194775991","https://openalex.org/W2307770531","https://openalex.org/W2570343428","https://openalex.org/W2613718673","https://openalex.org/W2784710428","https://openalex.org/W2788097838","https://openalex.org/W2963150697","https://openalex.org/W2963351448","https://openalex.org/W2963881378","https://openalex.org/W2964121744","https://openalex.org/W3012573144","https://openalex.org/W6620707391","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6637400245","https://openalex.org/W6638444622","https://openalex.org/W6697925102","https://openalex.org/W6747911595"],"related_works":["https://openalex.org/W4382897155","https://openalex.org/W4379231512","https://openalex.org/W4309650776","https://openalex.org/W4386037136","https://openalex.org/W3021119405","https://openalex.org/W3047972781","https://openalex.org/W4206608251","https://openalex.org/W2107986535","https://openalex.org/W2129987407","https://openalex.org/W3111239497"],"abstract_inverted_index":{"In":[0],"the":[1,6,9,13,101,124,159,165,171,194],"context":[2],"of":[3,8,18,30,79,107,127,167,170,185],"autonomous":[4],"navigation,":[5],"localization":[7],"vehicle":[10],"relies":[11],"on":[12,25,72,100],"accurate":[14,85,102],"detection":[15],"and":[16,55,105,119,154,162],"tracking":[17],"artificial":[19],"landmarks.":[20],"These":[21],"landmarks":[22,87],"are":[23,36],"based":[24],"handcrafted":[26],"features.":[27],"However,":[28],"because":[29],"their":[31,113],"low-":[32],"level":[33],"nature,":[34],"they":[35],"not":[37,41],"informative":[38],"but":[39],"also":[40,181],"robust":[42],"under":[43],"various":[44],"conditions":[45],"(lightning,":[46],"weather,":[47],"point-of-view).":[48],"Moreover,":[49],"in":[50,136,149,158],"Advanced":[51],"Driver-Assistance":[52],"Systems":[53],"(ADAS),":[54],"road":[56,73],"safety,":[57],"intense":[58],"efforts":[59],"have":[60],"been":[61],"made":[62],"to":[63,83,112,175],"implement":[64],"automatic":[65],"visual":[66],"data":[67],"processing,":[68],"with":[69,188],"special":[70],"emphasis":[71],"object":[74],"recognition.":[75],"The":[76],"main":[77],"idea":[78],"this":[80],"work":[81],"is":[82,193],"detect":[84,153],"higher-level":[86],"such":[88],"as":[89],"static":[90],"semantic":[91],"objects":[92],"using":[93,143],"Deep":[94],"learning":[95],"frameworks.":[96],"We":[97,139,180],"mainly":[98],"focus":[99],"detection,":[103],"segmentation":[104,196],"classification":[106],"vertical":[108],"traffic":[109,129,156,173],"signs":[110,130,157],"according":[111],"function":[114],"(danger,":[115],"give":[116],"way,":[117],"prohibition/obligation,":[118],"indication).":[120],"This":[121],"paper":[122],"presents":[123],"boundary":[125],"estimation":[126],"European":[128],"from":[131],"an":[132],"embedded":[133],"monocular":[134],"camera":[135],"a":[137,141,183],"vehicle.":[138],"propose":[140],"framework":[142],"two":[144],"different":[145],"deep":[146],"neural":[147],"networks":[148],"order":[150],"to:":[151],"(1)":[152],"recognize":[155],"video":[160],"flow":[161],"(2)":[163],"regress":[164],"coordinates":[166],"each":[168],"vertices":[169],"detected":[172],"sign":[174],"estimate":[176],"its":[177],"shape":[178],"boundary.":[179],"provide":[182],"comparison":[184],"our":[186],"method":[187],"Mask":[189],"R-CNN":[190],"[1]":[191],"which":[192],"state-of-the-art":[195],"method.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-20T22:02:38.213706","created_date":"2025-10-10T00:00:00"}
