{"id":"https://openalex.org/W2516801572","doi":"https://doi.org/10.1109/ivs.2016.7535511","title":"Robust road marking detection using convex grouping method in around-view monitoring system","display_name":"Robust road marking detection using convex grouping method in around-view monitoring system","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2516801572","doi":"https://doi.org/10.1109/ivs.2016.7535511","mag":"2516801572"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2016.7535511","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2016.7535511","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Intelligent Vehicles Symposium (IV)","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/A5036220982","display_name":"Daejin Hyeon","orcid":null},"institutions":[{"id":"https://openalex.org/I2818286","display_name":"LG (United States)","ror":"https://ror.org/02b948n83","country_code":"US","type":"company","lineage":["https://openalex.org/I2818286","https://openalex.org/I4210131320"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daejin Hyeon","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, LG Electronics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, LG Electronics","institution_ids":["https://openalex.org/I2818286"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085947812","display_name":"Soomok Lee","orcid":"https://orcid.org/0000-0001-6633-997X"},"institutions":[{"id":"https://openalex.org/I2818286","display_name":"LG (United States)","ror":"https://ror.org/02b948n83","country_code":"US","type":"company","lineage":["https://openalex.org/I2818286","https://openalex.org/I4210131320"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Soomok Lee","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, LG Electronics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, LG Electronics","institution_ids":["https://openalex.org/I2818286"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100900791","display_name":"Soonhong Jung","orcid":null},"institutions":[{"id":"https://openalex.org/I2818286","display_name":"LG (United States)","ror":"https://ror.org/02b948n83","country_code":"US","type":"company","lineage":["https://openalex.org/I2818286","https://openalex.org/I4210131320"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Soonhong Jung","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, LG Electronics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, LG Electronics","institution_ids":["https://openalex.org/I2818286"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101807134","display_name":"Seong-Woo Kim","orcid":"https://orcid.org/0000-0003-1633-573X"},"institutions":[{"id":"https://openalex.org/I2818286","display_name":"LG (United States)","ror":"https://ror.org/02b948n83","country_code":"US","type":"company","lineage":["https://openalex.org/I2818286","https://openalex.org/I4210131320"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Seong-Woo Kim","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, LG Electronics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, LG Electronics","institution_ids":["https://openalex.org/I2818286"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048311228","display_name":"Seung\u2010Woo Seo","orcid":"https://orcid.org/0000-0003-4890-8563"},"institutions":[{"id":"https://openalex.org/I2818286","display_name":"LG (United States)","ror":"https://ror.org/02b948n83","country_code":"US","type":"company","lineage":["https://openalex.org/I2818286","https://openalex.org/I4210131320"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Seung-Woo Seo","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, LG Electronics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, LG Electronics","institution_ids":["https://openalex.org/I2818286"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.965,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.89241573,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"20","issue":null,"first_page":"1004","last_page":"1009"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12707","display_name":"Vehicle License Plate Recognition","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/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":0.9994999766349792,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7929486036300659},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7466971278190613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7114373445510864},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6338889002799988},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6317245364189148},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6176964044570923},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.4323732554912567},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43006250262260437},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.42729637026786804}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7929486036300659},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7466971278190613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7114373445510864},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6338889002799988},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6317245364189148},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6176964044570923},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.4323732554912567},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43006250262260437},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.42729637026786804},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2016.7535511","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2016.7535511","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W8082930","https://openalex.org/W1579871682","https://openalex.org/W1980148873","https://openalex.org/W1980395194","https://openalex.org/W1984282152","https://openalex.org/W2002827932","https://openalex.org/W2023415694","https://openalex.org/W2026095948","https://openalex.org/W2056518953","https://openalex.org/W2061802763","https://openalex.org/W2069248067","https://openalex.org/W2083954025","https://openalex.org/W2124404372","https://openalex.org/W2142159465","https://openalex.org/W2145767430","https://openalex.org/W2155491122","https://openalex.org/W2159498975","https://openalex.org/W2166949156","https://openalex.org/W2169900545","https://openalex.org/W2911964244","https://openalex.org/W6600327186","https://openalex.org/W6634515916"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703","https://openalex.org/W41015297"],"abstract_inverted_index":{"As":[0,31],"the":[1,9,53,68,149,155,168],"around-view":[2],"monitoring":[3],"(AVM)":[4],"system":[5,26],"becomes":[6],"one":[7],"of":[8,59,78,86,160],"essential":[10],"components":[11,138],"for":[12,35,80,123,135],"advanced":[13],"driver":[14],"assistance":[15],"systems":[16],"(ADAS),":[17],"many":[18,85],"applications":[19],"using":[20,167],"AVM":[21,97,114],"such":[22,36,62],"as":[23,63],"parking":[24],"guidance":[25],"are":[27,88],"actively":[28],"being":[29],"developed.":[30],"a":[32,43,119,125,131,144],"key":[33],"step":[34],"applications,":[37],"detecting":[38,81],"road":[39,111],"markings":[40,83,112],"robustly":[41,108],"is":[42],"very":[44],"important":[45],"issue":[46],"to":[47,52,90],"be":[48],"solved.":[49],"However,":[50],"compared":[51],"lane":[54],"marking":[55],"detection":[56,58,158],"methods,":[57],"non-lane":[60,82,110],"markings,":[61],"text":[64],"marks":[65],"painted":[66],"on":[67,96,113,140],"road,":[69],"has":[70],"been":[71],"less":[72],"studied":[73],"so":[74],"far.":[75],"While":[76],"some":[77],"methods":[79,162],"exist,":[84],"them":[87],"restricted":[89],"roadways":[91],"only,":[92],"or":[93],"work":[94],"poorly":[95],"images.":[98,115],"In":[99],"this":[100],"paper,":[101],"we":[102,147],"propose":[103,118],"an":[104],"algorithm":[105],"which":[106],"can":[107],"detect":[109],"We":[116,153],"first":[117],"difference-of-Gaussian":[120],"based":[121,139],"method":[122,134],"extracting":[124],"connected":[126,137],"component":[127],"set,":[128],"followed":[129],"by":[130,166],"novel":[132],"grouping":[133,136],"convexity":[141],"condition.":[142],"For":[143],"classification":[145],"task,":[146],"exploit":[148],"Random":[150],"Forest":[151],"classifier.":[152],"demonstrate":[154],"robustness":[156],"and":[157],"accuracy":[159],"our":[161],"through":[163],"various":[164,172],"experiments":[165],"dataset":[169],"collected":[170],"from":[171],"environments.":[173]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}