{"id":"https://openalex.org/W2063861534","doi":"https://doi.org/10.1109/itsc.2010.5625088","title":"Decision fusion and reasoning for traffic sign recognition","display_name":"Decision fusion and reasoning for traffic sign recognition","publication_year":2010,"publication_date":"2010-09-01","ids":{"openalex":"https://openalex.org/W2063861534","doi":"https://doi.org/10.1109/itsc.2010.5625088","mag":"2063861534"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2010.5625088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2010.5625088","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"13th International IEEE Conference on Intelligent Transportation Systems","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/A5064376962","display_name":"Mirko Meuter","orcid":null},"institutions":[{"id":"https://openalex.org/I4210130520","display_name":"Aptiv (Germany)","ror":"https://ror.org/039sb8791","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210107152","https://openalex.org/I4210130520"]},{"id":"https://openalex.org/I126452172","display_name":"Aptiv (United States)","ror":"https://ror.org/02967gp58","country_code":"US","type":"company","lineage":["https://openalex.org/I126452172","https://openalex.org/I4210107152"]}],"countries":["DE","US"],"is_corresponding":true,"raw_author_name":"Mirko Meuter","raw_affiliation_strings":["Delphi Electronics & Safety Advanced Engineering, Wuppertal, Germany","Delphi Electronics & Safety Advanced Engineering, D-42119 Wuppertal, Germany"],"affiliations":[{"raw_affiliation_string":"Delphi Electronics & Safety Advanced Engineering, Wuppertal, Germany","institution_ids":["https://openalex.org/I4210130520"]},{"raw_affiliation_string":"Delphi Electronics & Safety Advanced Engineering, D-42119 Wuppertal, Germany","institution_ids":["https://openalex.org/I126452172"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060536975","display_name":"Stefan M\u00fcller-Schneiders","orcid":null},"institutions":[{"id":"https://openalex.org/I4210130520","display_name":"Aptiv (Germany)","ror":"https://ror.org/039sb8791","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210107152","https://openalex.org/I4210130520"]},{"id":"https://openalex.org/I126452172","display_name":"Aptiv (United States)","ror":"https://ror.org/02967gp58","country_code":"US","type":"company","lineage":["https://openalex.org/I126452172","https://openalex.org/I4210107152"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Stefan Muller-Schneiders","raw_affiliation_strings":["Delphi Electronics & Safety Advanced Engineering, Wuppertal, Germany","Delphi Electronics & Safety Advanced Engineering, D-42119 Wuppertal, Germany"],"affiliations":[{"raw_affiliation_string":"Delphi Electronics & Safety Advanced Engineering, Wuppertal, Germany","institution_ids":["https://openalex.org/I4210130520"]},{"raw_affiliation_string":"Delphi Electronics & Safety Advanced Engineering, D-42119 Wuppertal, Germany","institution_ids":["https://openalex.org/I126452172"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007272902","display_name":"Christian Nunny","orcid":null},"institutions":[{"id":"https://openalex.org/I167360494","display_name":"University of Wuppertal","ror":"https://ror.org/00613ak93","country_code":"DE","type":"education","lineage":["https://openalex.org/I167360494"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Nunny","raw_affiliation_strings":["Bergische Universitat Wuppertal, Wuppertal, Nordrhein-Westfalen, DE","Faculty of Electrical Engineering and Media Technologies, University of Wuppertal, D-42119, Germany"],"affiliations":[{"raw_affiliation_string":"Bergische Universitat Wuppertal, Wuppertal, Nordrhein-Westfalen, DE","institution_ids":[]},{"raw_affiliation_string":"Faculty of Electrical Engineering and Media Technologies, University of Wuppertal, D-42119, Germany","institution_ids":["https://openalex.org/I167360494"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042055175","display_name":"Stephanie Holdy","orcid":null},"institutions":[{"id":"https://openalex.org/I167360494","display_name":"University of Wuppertal","ror":"https://ror.org/00613ak93","country_code":"DE","type":"education","lineage":["https://openalex.org/I167360494"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stephanie Holdy","raw_affiliation_strings":["Bergische Universitat Wuppertal, Wuppertal, Nordrhein-Westfalen, DE","Faculty of Electrical Engineering and Media Technologies, University of Wuppertal, D-42119, Germany"],"affiliations":[{"raw_affiliation_string":"Bergische Universitat Wuppertal, Wuppertal, Nordrhein-Westfalen, DE","institution_ids":[]},{"raw_affiliation_string":"Faculty of Electrical Engineering and Media Technologies, University of Wuppertal, D-42119, Germany","institution_ids":["https://openalex.org/I167360494"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029742310","display_name":"Steffen Goermery","orcid":null},"institutions":[{"id":"https://openalex.org/I167360494","display_name":"University of Wuppertal","ror":"https://ror.org/00613ak93","country_code":"DE","type":"education","lineage":["https://openalex.org/I167360494"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Steffen Goermery","raw_affiliation_strings":["Bergische Universitat Wuppertal, Wuppertal, Nordrhein-Westfalen, DE","Faculty of Electrical Engineering and Media Technologies, University of Wuppertal, D-42119, Germany"],"affiliations":[{"raw_affiliation_string":"Bergische Universitat Wuppertal, Wuppertal, Nordrhein-Westfalen, DE","institution_ids":[]},{"raw_affiliation_string":"Faculty of Electrical Engineering and Media Technologies, University of Wuppertal, D-42119, Germany","institution_ids":["https://openalex.org/I167360494"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067266710","display_name":"Anton Kummerty","orcid":null},"institutions":[{"id":"https://openalex.org/I167360494","display_name":"University of Wuppertal","ror":"https://ror.org/00613ak93","country_code":"DE","type":"education","lineage":["https://openalex.org/I167360494"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Anton Kummerty","raw_affiliation_strings":["Bergische Universitat Wuppertal, Wuppertal, Nordrhein-Westfalen, DE","Faculty of Electrical Engineering and Media Technologies, University of Wuppertal, D-42119, Germany"],"affiliations":[{"raw_affiliation_string":"Bergische Universitat Wuppertal, Wuppertal, Nordrhein-Westfalen, DE","institution_ids":[]},{"raw_affiliation_string":"Faculty of Electrical Engineering and Media Technologies, University of Wuppertal, D-42119, Germany","institution_ids":["https://openalex.org/I167360494"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5064376962"],"corresponding_institution_ids":["https://openalex.org/I126452172","https://openalex.org/I4210130520"],"apc_list":null,"apc_paid":null,"fwci":1.3572,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.84517242,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"324","last_page":"329"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9909999966621399,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.7701349258422852},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6094449162483215},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.579473614692688},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5481052398681641},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.5428014993667603},{"id":"https://openalex.org/keywords/traffic-sign-recognition","display_name":"Traffic sign recognition","score":0.5171939134597778},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.4777504503726959},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4425485134124756},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.41882041096687317},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.41749274730682373},{"id":"https://openalex.org/keywords/evidential-reasoning-approach","display_name":"Evidential reasoning approach","score":0.41470324993133545},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39952951669692993},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3853064477443695},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37981116771698},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3618204891681671},{"id":"https://openalex.org/keywords/traffic-sign","display_name":"Traffic sign","score":0.3597724437713623},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"Decision support system","score":0.32984355092048645},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12050935626029968}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7701349258422852},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6094449162483215},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.579473614692688},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5481052398681641},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.5428014993667603},{"id":"https://openalex.org/C6528762","wikidata":"https://www.wikidata.org/wiki/Q1574298","display_name":"Traffic sign recognition","level":4,"score":0.5171939134597778},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.4777504503726959},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4425485134124756},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.41882041096687317},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.41749274730682373},{"id":"https://openalex.org/C156201811","wikidata":"https://www.wikidata.org/wiki/Q5418360","display_name":"Evidential reasoning approach","level":4,"score":0.41470324993133545},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39952951669692993},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3853064477443695},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37981116771698},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3618204891681671},{"id":"https://openalex.org/C2983860417","wikidata":"https://www.wikidata.org/wiki/Q170285","display_name":"Traffic sign","level":3,"score":0.3597724437713623},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.32984355092048645},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12050935626029968},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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},{"id":"https://openalex.org/C97944126","wikidata":"https://www.wikidata.org/wiki/Q5001864","display_name":"Business decision mapping","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2010.5625088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2010.5625088","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"13th International IEEE Conference on Intelligent Transportation Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W109176799","https://openalex.org/W2077244209","https://openalex.org/W2096590953","https://openalex.org/W2098666383","https://openalex.org/W2112316183","https://openalex.org/W2129242707","https://openalex.org/W2138289443","https://openalex.org/W2140126736","https://openalex.org/W2144841545","https://openalex.org/W2149730711","https://openalex.org/W2159733498","https://openalex.org/W2161511449","https://openalex.org/W2162744616","https://openalex.org/W2163411466","https://openalex.org/W2164568552","https://openalex.org/W6604430925"],"related_works":["https://openalex.org/W4382897155","https://openalex.org/W4283820116","https://openalex.org/W4379231512","https://openalex.org/W4378699879","https://openalex.org/W3128164723","https://openalex.org/W4286647459","https://openalex.org/W2899819381","https://openalex.org/W2557202782","https://openalex.org/W3215426395","https://openalex.org/W4382176313"],"abstract_inverted_index":{"A":[0],"novel":[1],"approach":[2],"for":[3,10,47,146],"a":[4,27,44,53,79,115,119,142,173],"decision":[5,80,105],"fusion":[6,30,45,73,110],"and":[7,57,89],"reasoning":[8,120],"system":[9,87,170],"vision-based":[11],"traffic":[12],"sign":[13,54,62,69],"recognition":[14,102],"is":[15,32,55,106,122,150],"presented.":[16],"This":[17],"module":[18,121],"consists":[19],"of":[20,127],"several":[21],"steps.":[22],"In":[23,64,82,137],"the":[24,36,61,68,71,83,86,101,109,128,135,158,163,169,176,185],"first":[25],"stage,":[26,85],"track-based":[28],"Bayesian":[29],"scheme":[31,74],"used":[33,123],"to":[34,42,50,59,66,96,124,134,139],"fuse":[35],"classification":[37],"results":[38,111],"from":[39,157],"each":[40,48],"frame":[41],"obtain":[43],"result":[46],"track":[49],"decide":[51,125],"whether":[52],"present":[56],"also":[58],"determine":[60,67],"type.":[63],"order":[65],"type,":[70],"temporal":[72],"has":[75],"been":[76],"combined":[77],"with":[78],"tree.":[81],"second":[84],"combines":[88],"fuses":[90],"probable":[91],"identical":[92],"objects":[93],"which":[94,126],"help":[95],"further":[97],"reduce":[98],"failures":[99,154],"in":[100,171],"process.":[103],"The":[104],"based":[107],"on":[108,160,184],"as":[112,114],"well":[113],"position":[116],"cue.":[117],"Finally,":[118],"passed":[129],"signs":[130,179],"should":[131],"be":[132],"shown":[133],"driver.":[136],"addition":[138],"these":[140],"modules,":[141],"general":[143],"evaluation":[144,159],"method":[145],"multi-class":[147],"tracking":[148],"systems":[149],"shown.":[151],"While":[152],"some":[153],"are":[155,180],"observed":[156],"object":[161],"level,":[162],"additional":[164],"post":[165],"processing":[166],"steps":[167],"improve":[168],"such":[172],"way":[174],"that":[175],"finally":[177],"presented":[178],"almost":[181],"always":[182],"correct":[183],"test":[186],"set.":[187]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}