{"id":"https://openalex.org/W2172810208","doi":"https://doi.org/10.1109/tits.2015.2438714","title":"Automatic Detection and Classification of Road Lane Markings Using Onboard Vehicular Cameras","display_name":"Automatic Detection and Classification of Road Lane Markings Using Onboard Vehicular Cameras","publication_year":2015,"publication_date":"2015-06-18","ids":{"openalex":"https://openalex.org/W2172810208","doi":"https://doi.org/10.1109/tits.2015.2438714","mag":"2172810208"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2015.2438714","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2015.2438714","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-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/A5077004838","display_name":"Maur\u00edcio Braga de Paula","orcid":"https://orcid.org/0000-0001-5849-0290"},"institutions":[{"id":"https://openalex.org/I130442723","display_name":"Universidade Federal do Rio Grande do Sul","ror":"https://ror.org/041yk2d64","country_code":"BR","type":"education","lineage":["https://openalex.org/I130442723"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Mauricio Braga de Paula","raw_affiliation_strings":["Department of Mathematics and Statistics, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil","institution_ids":["https://openalex.org/I130442723"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012781859","display_name":"Cl\u00e1udio R. Jung","orcid":"https://orcid.org/0000-0002-4711-5783"},"institutions":[{"id":"https://openalex.org/I130442723","display_name":"Universidade Federal do Rio Grande do Sul","ror":"https://ror.org/041yk2d64","country_code":"BR","type":"education","lineage":["https://openalex.org/I130442723"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Claudio Rosito Jung","raw_affiliation_strings":["Institute of Informatics, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil"],"affiliations":[{"raw_affiliation_string":"Institute of Informatics, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil","institution_ids":["https://openalex.org/I130442723"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5077004838"],"corresponding_institution_ids":["https://openalex.org/I130442723"],"apc_list":null,"apc_paid":null,"fwci":6.5935,"has_fulltext":false,"cited_by_count":55,"citation_normalized_percentile":{"value":0.9658209,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"16","issue":"6","first_page":"3160","last_page":"3169"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9997000098228455,"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":0.9997000098228455,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9901999831199646,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7697629332542419},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7550455331802368},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.6984385251998901},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6458147764205933},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5704975128173828},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5558658838272095},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.392177015542984},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19583863019943237}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7697629332542419},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7550455331802368},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.6984385251998901},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6458147764205933},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5704975128173828},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5558658838272095},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.392177015542984},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19583863019943237},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2015.2438714","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2015.2438714","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1631218178","https://openalex.org/W1976362452","https://openalex.org/W1988185297","https://openalex.org/W2022460349","https://openalex.org/W2023354053","https://openalex.org/W2023671107","https://openalex.org/W2025497398","https://openalex.org/W2106843475","https://openalex.org/W2109863423","https://openalex.org/W2135980307","https://openalex.org/W2150322733","https://openalex.org/W2152422345","https://openalex.org/W2153974628","https://openalex.org/W2159132531","https://openalex.org/W2164617893","https://openalex.org/W6888765124"],"related_works":["https://openalex.org/W2393753289","https://openalex.org/W1891287906","https://openalex.org/W96812108","https://openalex.org/W2036778696","https://openalex.org/W2563096758","https://openalex.org/W4386053843","https://openalex.org/W3158004940","https://openalex.org/W2972035100","https://openalex.org/W2167582322","https://openalex.org/W2742991909"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,20,65,85,108],"new":[4],"approach":[5],"for":[6],"road":[7],"lane":[8,15,22,62,78],"classification":[9],"using":[10,19,107],"an":[11,25,34,101],"onboard":[12],"camera.":[13],"Initially,":[14],"boundaries":[16],"are":[17,56],"detected":[18],"linear-parabolic":[21],"model,":[23],"and":[24,48,117],"automatic":[26],"on-the-fly":[27],"camera":[28],"calibration":[29],"procedure":[30],"is":[31,38,73],"applied.":[32],"Then,":[33],"adaptive":[35],"smoothing":[36],"scheme":[37],"applied":[39,74],"to":[40,60,75],"reduce":[41],"noise":[42],"while":[43],"keeping":[44],"close":[45],"edges":[46],"separated,":[47],"pairs":[49],"of":[50,53,71,84,104,110],"local":[51],"maxima-minima":[52],"the":[54,77],"gradient":[55],"used":[57],"as":[58,88],"cues":[59],"identify":[61],"markings.":[63],"Finally,":[64],"Bayesian":[66],"classifier":[67],"based":[68],"on":[69],"mixtures":[70],"Gaussians":[72],"classify":[76],"markings":[79],"present":[80],"at":[81],"each":[82],"frame":[83],"video":[86,111],"sequence":[87],"dashed,":[89,94],"solid,":[90,92],"dashed":[91],"solid":[93],"or":[95],"double":[96],"solid.":[97],"Experimental":[98],"results":[99],"indicate":[100],"overall":[102],"accuracy":[103],"over":[105],"96%":[106],"variety":[109],"sequences":[112],"acquired":[113],"with":[114],"different":[115],"devices":[116],"resolutions.":[118]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":17},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
