{"id":"https://openalex.org/W2001654224","doi":"https://doi.org/10.1109/wacv.2012.6163006","title":"Robust detection, classification and positioning of traffic signs from street-level panoramic images for inventory purposes","display_name":"Robust detection, classification and positioning of traffic signs from street-level panoramic images for inventory purposes","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W2001654224","doi":"https://doi.org/10.1109/wacv.2012.6163006","mag":"2001654224"},"language":"en","primary_location":{"id":"doi:10.1109/wacv.2012.6163006","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2012.6163006","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Workshop on the Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5050073968","display_name":"Lykele Hazelhoff","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lykele Hazelhoff","raw_affiliation_strings":["CycloMedia Technology B.V., Achterweg 38, 4181 AE, Waardenburg, The Netherlands","CycloMedia Technology B. V, Waardenburg, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CycloMedia Technology B.V., Achterweg 38, 4181 AE, Waardenburg, The Netherlands","institution_ids":[]},{"raw_affiliation_string":"CycloMedia Technology B. V, Waardenburg, Netherlands","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062997053","display_name":"Ivo Creusen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ivo Creusen","raw_affiliation_strings":["CycloMedia Technology B.V., Achterweg 38, 4181 AE, Waardenburg, The Netherlands","CycloMedia Technology B. V, Waardenburg, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CycloMedia Technology B.V., Achterweg 38, 4181 AE, Waardenburg, The Netherlands","institution_ids":[]},{"raw_affiliation_string":"CycloMedia Technology B. V, Waardenburg, Netherlands","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029008213","display_name":"Peter H. N. de With","orcid":"https://orcid.org/0000-0002-7639-7716"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Peter H.N. de With","raw_affiliation_strings":["Eindhoven University of Technology, Den Dolech 2, 5600 MB, The Netherlands","Eindhovan University of Technology, Eindhoven, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology, Den Dolech 2, 5600 MB, The Netherlands","institution_ids":["https://openalex.org/I83019370"]},{"raw_affiliation_string":"Eindhovan University of Technology, Eindhoven, Netherlands","institution_ids":["https://openalex.org/I83019370"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.6044,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.95017557,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"313","last_page":"320"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9994999766349792,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9991999864578247,"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":0.7348422408103943},{"id":"https://openalex.org/keywords/traffic-sign","display_name":"Traffic sign","score":0.7066141366958618},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.6450109481811523},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.628666341304779},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6184665560722351},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4864787757396698},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34470298886299133},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11113202571868896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7348422408103943},{"id":"https://openalex.org/C2983860417","wikidata":"https://www.wikidata.org/wiki/Q170285","display_name":"Traffic sign","level":3,"score":0.7066141366958618},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.6450109481811523},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.628666341304779},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6184665560722351},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4864787757396698},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34470298886299133},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11113202571868896},{"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/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/wacv.2012.6163006","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2012.6163006","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Workshop on the Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.tue.nl:openaire_cris_publications/9a9bfbf8-91c9-4f6b-8001-bb2948d7c1c4","is_oa":false,"landing_page_url":"https://research.tue.nl/en/publications/9a9bfbf8-91c9-4f6b-8001-bb2948d7c1c4","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Hazelhoff, L, Creusen, I M & With, de, P H N 2012, Robust detection, classification and positioning of traffic signs from street-level panoramic images for inventory purposes. in Proceedings of the 2012 IEEE Workshop on Applications of Computer Vision (WACV), 9-11 January 2012,. Institute of Electrical and Electronics Engineers, Piscataway, pp. 313-320, 2012 IEEE Workshop on Applications of Computer Vision (WACV), 9/01/12. https://doi.org/10.1109/WACV.2012.6163006","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.300.6358","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.300.6358","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://vca.ele.tue.nl/publications/data/LHazelhoff2012a.pdf","raw_type":"text"},{"id":"pmh:749310","is_oa":false,"landing_page_url":"http://library.tue.nl/csp/dare/LinkToRepository.csp?recordnumber=749310","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"pmh:oai:library.tue.nl:749310","is_oa":false,"landing_page_url":"http://repository.tue.nl/749310","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"pmh:tue:oai:pure.tue.nl:publications/9a9bfbf8-91c9-4f6b-8001-bb2948d7c1c4","is_oa":false,"landing_page_url":"https://research.tue.nl/nl/publications/9a9bfbf8-91c9-4f6b-8001-bb2948d7c1c4","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the 2012 IEEE Workshop on Applications of Computer Vision (WACV), 9-11 January 2012,, 313 - 320","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1625255723","https://openalex.org/W1680392829","https://openalex.org/W2034627636","https://openalex.org/W2067191022","https://openalex.org/W2110086022","https://openalex.org/W2113650053","https://openalex.org/W2113928990","https://openalex.org/W2128354257","https://openalex.org/W2150581781","https://openalex.org/W2151103935","https://openalex.org/W2151259137","https://openalex.org/W2153171698","https://openalex.org/W2161969291","https://openalex.org/W2169810643","https://openalex.org/W2171896402","https://openalex.org/W6636494156","https://openalex.org/W6637386731"],"related_works":["https://openalex.org/W2110143569","https://openalex.org/W2547328273","https://openalex.org/W3122938442","https://openalex.org/W2025206082","https://openalex.org/W2093958826","https://openalex.org/W746432122","https://openalex.org/W643638081","https://openalex.org/W1582770384","https://openalex.org/W2369781462","https://openalex.org/W564764569"],"abstract_inverted_index":{"Accurate":[0],"inventories":[1,17],"of":[2,12,42,84,129,143],"traffic":[3],"signs":[4,65,93,147,160],"are":[5,36,101,113,120,148,161],"required":[6],"for":[7,182],"road":[8,14],"maintenance":[9],"and":[10,48,52,75],"increase":[11],"the":[13,85,91,105,124,144,180],"safety.":[15],"These":[16],"can":[18],"be":[19,176],"performed":[20],"efficiently":[21],"based":[22,61],"on":[23,62],"street-level":[24],"panoramic":[25,67,96],"images.":[26],"However,":[27],"this":[28,130],"is":[29,60,132],"a":[30,39,72,136,166],"challenging":[31],"problem,":[32],"as":[33],"these":[34],"images":[35,119],"captured":[37],"under":[38],"wide":[40],"range":[41],"weather":[43],"conditions.":[44],"Besides":[45],"this,":[46],"occlusions":[47],"sign":[49,54,107,125],"deformations":[50],"occur":[51],"many":[53],"look-a-like":[55],"objects":[56],"exist.":[57],"Our":[58],"approach":[59,131],"detecting":[63,90],"present":[64,92],"in":[66,94,135,163],"images,":[68],"both":[69],"to":[70,76,103,122,175,178],"derive":[71],"classification":[73],"code":[74],"combine":[77],"multiple":[78,118],"detections":[79,100,112,116],"into":[80],"an":[81],"accurate":[82,184],"position":[83],"signs.":[86],"It":[87],"starts":[88],"with":[89,151],"each":[95],"image.":[97],"Then,":[98],"all":[99,158],"classified":[102],"obtain":[104],"specific":[106],"type,":[108],"where":[109,140],"also":[110],"false":[111,154],"identified.":[114],"Afterwards,":[115],"from":[117],"combined":[121],"calculate":[123],"positions.":[126],"The":[127],"performance":[128,181],"extensively":[133],"evaluated":[134],"large,":[137],"geographical":[138],"region,":[139],"over":[141],"85%":[142],"3;":[145],"341":[146],"automatically":[149],"localized,":[150],"only":[152,169],"3:2%":[153],"detections.":[155],"As":[156],"nearly":[157],"missed":[159],"detected":[162],"at":[164],"least":[165],"single":[167],"image,":[168],"very":[170],"limited":[171],"manual":[172],"interactions":[173],"have":[174],"supplied":[177],"safeguard":[179],"highly":[183],"inventories.":[185]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":3}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
