{"id":"https://openalex.org/W1973228964","doi":"https://doi.org/10.1109/icves.2013.6619615","title":"Sky recognitions for driving-view images","display_name":"Sky recognitions for driving-view images","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W1973228964","doi":"https://doi.org/10.1109/icves.2013.6619615","mag":"1973228964"},"language":"en","primary_location":{"id":"doi:10.1109/icves.2013.6619615","doi":"https://doi.org/10.1109/icves.2013.6619615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icves.2013.6619615","pdf_url":null,"source":{"id":"https://openalex.org/S7407087829","display_name":"IEEE International Conference on Vehicular Electronics and Safety (ICVES)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2013 IEEE International Conference on Vehicular Electronics and Safety","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5088641929","display_name":"Yu-Kumg Chen","orcid":"https://orcid.org/0009-0004-6313-9197","observed_orcids":["https://orcid.org/0009-0004-6313-9197"]},"institutions":[{"id":"https://openalex.org/I202968851","display_name":"Huafan University","ror":"https://ror.org/02x5hb316","country_code":"TW","type":"education","lineage":["https://openalex.org/I202968851"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Kumg Chen","raw_affiliation_strings":["Department of Electronic Engineering, Huafan University, New Taipei, Taiwan","Dept. of Electron. Eng., Huafan Univ., New Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Huafan University, New Taipei, Taiwan","institution_ids":["https://openalex.org/I202968851"]},{"raw_affiliation_string":"Dept. of Electron. Eng., Huafan Univ., New Taipei, Taiwan","institution_ids":["https://openalex.org/I202968851"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101651717","display_name":"Tsung-Hsien Tsai","orcid":"https://orcid.org/0000-0003-0356-6053","observed_orcids":["https://orcid.org/0000-0003-0356-6053"]},"institutions":[{"id":"https://openalex.org/I202968851","display_name":"Huafan University","ror":"https://ror.org/02x5hb316","country_code":"TW","type":"education","lineage":["https://openalex.org/I202968851"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tsung-Hsien Tsai","raw_affiliation_strings":["Department of Electronic Engineering, Huafan University, New Taipei, Taiwan","Dept. of Electron. Eng., Huafan Univ., New Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Huafan University, New Taipei, Taiwan","institution_ids":["https://openalex.org/I202968851"]},{"raw_affiliation_string":"Dept. of Electron. Eng., Huafan Univ., New Taipei, Taiwan","institution_ids":["https://openalex.org/I202968851"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I202968851"],"apc_list":null,"apc_paid":null,"fwci":1.2855,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73340414,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"23","issue":null,"first_page":"119","last_page":"124"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.6812000274658203,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.6812000274658203,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.058800000697374344,"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/T11019","display_name":"Image Enhancement Techniques","score":0.02500000037252903,"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/gps-signal-loss","display_name":"GPS signal loss","score":0.8199999928474426},{"id":"https://openalex.org/keywords/tunnel-detection","display_name":"tunnel detection","score":0.7580000162124634},{"id":"https://openalex.org/keywords/road-condition-classification","display_name":"road condition classification","score":0.609000027179718},{"id":"https://openalex.org/keywords/entropy-based-segmentation","display_name":"entropy-based segmentation","score":0.49399998784065247},{"id":"https://openalex.org/keywords/gray-level-statistics","display_name":"gray level statistics","score":0.3440000116825104}],"concepts":[{"id":"https://openalex.org/C73329638","wikidata":"https://www.wikidata.org/wiki/Q527","display_name":"Sky","level":2,"score":0.7937864661216736},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6370380520820618},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6092801094055176},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.5842190384864807},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.4870498478412628},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47113507986068726},{"id":"https://openalex.org/C2780042925","wikidata":"https://www.wikidata.org/wiki/Q1049667","display_name":"Road surface","level":2,"score":0.41974225640296936},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3878551721572876},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.31914955377578735},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2280685007572174},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.18785881996154785},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.15473079681396484},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09742006659507751},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.07332557439804077}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icves.2013.6619615","doi":"https://doi.org/10.1109/icves.2013.6619615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icves.2013.6619615","pdf_url":null,"source":{"id":"https://openalex.org/S7407087829","display_name":"IEEE International Conference on Vehicular Electronics and Safety (ICVES)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of 2013 IEEE International Conference on Vehicular Electronics and Safety","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7250000238418579,"id":"https://metadata.un.org/sdg/11"},{"display_name":"Industry, innovation and infrastructure","score":0.7207000255584717,"id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W187677220","https://openalex.org/W1501691825","https://openalex.org/W1596236195","https://openalex.org/W1965519400","https://openalex.org/W1965887009","https://openalex.org/W1987857333","https://openalex.org/W1990593156","https://openalex.org/W2001137413","https://openalex.org/W2007538760","https://openalex.org/W2019194708","https://openalex.org/W2030595950","https://openalex.org/W2056364295","https://openalex.org/W2062557538","https://openalex.org/W2071288975","https://openalex.org/W2078728791","https://openalex.org/W2081922427","https://openalex.org/W2094585893","https://openalex.org/W2105070693","https://openalex.org/W2121702924","https://openalex.org/W2124017741","https://openalex.org/W2124324640","https://openalex.org/W2140795767","https://openalex.org/W2141464147","https://openalex.org/W2544024834","https://openalex.org/W2982554162","https://openalex.org/W4285719527","https://openalex.org/W6678574609"],"related_works":["https://openalex.org/W2019309423","https://openalex.org/W1965887009","https://openalex.org/W2019169612","https://openalex.org/W2742647780","https://openalex.org/W2955548791","https://openalex.org/W4403842193","https://openalex.org/W2347628732","https://openalex.org/W2926123684","https://openalex.org/W3204416567","https://openalex.org/W2277129984"],"abstract_inverted_index":{"Most":[0],"of":[1,7,63,74,79,92,100,108,114,125,136,147],"the":[2,28,38,43,61,72,76,89,105,111,122],"cars":[3],"today":[4],"have":[5],"facilities":[6],"GPS":[8,31],"and":[9,41,83,98,117,139],"vehicle":[10],"event":[11],"data":[12],"recorder":[13],"(VEDR)":[14],"while":[15],"driving":[16],"on":[17,71],"roads.":[18],"When":[19],"a":[20,52],"car":[21],"drives":[22],"through":[23],"underpass,":[24,116],"tunnel,":[25,115],"or":[26],"under":[27],"viaduct,":[29],"etc.,":[30],"will":[32],"not":[33],"be":[34],"able":[35],"to":[36,48],"receive":[37],"satellite":[39],"signals":[40],"makes":[42],"error":[44],"navigation.":[45],"In":[46],"order":[47],"resolve":[49],"this":[50,68],"problem,":[51],"new":[53],"sky":[54,90,106],"recognition":[55,146],"technique":[56],"for":[57],"driving-view":[58,93,109,137],"image":[59,103],"from":[60,104,121],"video":[62],"VEDR":[64],"is":[65],"proposed":[66,142],"in":[67,88,145],"paper.":[69],"Based":[70],"theory":[73],"entropy,":[75],"road":[77,112,123,149],"conditions":[78,113,124,135],"T-junction,":[80],"skewed":[81],"road,":[82],"shaded":[84],"trees":[85],"are":[86,119,129],"determined":[87],"subimage":[91,107],"image.":[94],"Then,":[95],"with":[96,132],"analysis":[97],"statistics":[99],"gray":[101],"scale":[102],"image,":[110],"viaduct":[118],"separated":[120],"sky.":[126],"Experimental":[127],"results":[128],"carried":[130],"out":[131],"some":[133],"varied":[134],"images,":[138],"show":[140],"our":[141],"algorithm":[143],"succeed":[144],"these":[148],"conditions.":[150]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-06-24T00:00:00"}
