{"id":"https://openalex.org/W3034205614","doi":"https://doi.org/10.1142/s1793351x20500038","title":"Accurate Lane Detection for Self-Driving Cars: An Approach Based on Color Filter Adjustment and K-Means Clustering Filter","display_name":"Accurate Lane Detection for Self-Driving Cars: An Approach Based on Color Filter Adjustment and K-Means Clustering Filter","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W3034205614","doi":"https://doi.org/10.1142/s1793351x20500038","mag":"3034205614"},"language":"en","primary_location":{"id":"doi:10.1142/s1793351x20500038","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793351x20500038","pdf_url":null,"source":{"id":"https://openalex.org/S4210201727","display_name":"International Journal of Semantic Computing","issn_l":"1793-7108","issn":["1793-7108","1793-351X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Semantic Computing","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/A5101979289","display_name":"Dongfang Liu","orcid":"https://orcid.org/0000-0001-6995-4775"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dongfang Liu","raw_affiliation_strings":["Computer and Information Technology, Purdue University, 610 Purdue Mall, West Lafayette, IN 47906, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer and Information Technology, Purdue University, 610 Purdue Mall, West Lafayette, IN 47906, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009022319","display_name":"Yaqin Wang","orcid":"https://orcid.org/0000-0002-6182-2783"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yaqin Wang","raw_affiliation_strings":["Computer and Information Technology, Purdue University, 610 Purdue Mall, West Lafayette, IN 47906, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer and Information Technology, Purdue University, 610 Purdue Mall, West Lafayette, IN 47906, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362238","display_name":"Tian Chen","orcid":"https://orcid.org/0000-0002-9100-7202"},"institutions":[{"id":"https://openalex.org/I90871651","display_name":"University of Toledo","ror":"https://ror.org/01pbdzh19","country_code":"US","type":"education","lineage":["https://openalex.org/I90871651"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tian Chen","raw_affiliation_strings":["Department of Mathematics and Statistics, University of Toledo, 610 Purdue Mall, 2801 Bancroft Street, Toledo, OH 43606, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, University of Toledo, 610 Purdue Mall, 2801 Bancroft Street, Toledo, OH 43606, USA","institution_ids":["https://openalex.org/I90871651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033151632","display_name":"Eric T. Matson","orcid":"https://orcid.org/0000-0001-9200-4903"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eric T. Matson","raw_affiliation_strings":["Computer and Information Technology, Purdue University, 610 Purdue Mall, West Lafayette, IN 47906, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer and Information Technology, Purdue University, 610 Purdue Mall, West Lafayette, IN 47906, USA","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2401,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.53451923,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"14","issue":"01","first_page":"153","last_page":"168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9887999892234802,"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":0.9876999855041504,"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-science","display_name":"Computer science","score":0.8245189189910889},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6817629337310791},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6632170677185059},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6426904797554016},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6342320442199707},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6305489540100098},{"id":"https://openalex.org/keywords/gabor-filter","display_name":"Gabor filter","score":0.5078514218330383},{"id":"https://openalex.org/keywords/brake","display_name":"Brake","score":0.4875594973564148},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4694746732711792},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4644050598144531},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44984740018844604},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38168177008628845},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3235859274864197},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07255285978317261}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8245189189910889},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6817629337310791},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6632170677185059},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6426904797554016},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6342320442199707},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6305489540100098},{"id":"https://openalex.org/C2779883129","wikidata":"https://www.wikidata.org/wiki/Q2447890","display_name":"Gabor filter","level":3,"score":0.5078514218330383},{"id":"https://openalex.org/C2780999251","wikidata":"https://www.wikidata.org/wiki/Q17022503","display_name":"Brake","level":2,"score":0.4875594973564148},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4694746732711792},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4644050598144531},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44984740018844604},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38168177008628845},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3235859274864197},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07255285978317261},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s1793351x20500038","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793351x20500038","pdf_url":null,"source":{"id":"https://openalex.org/S4210201727","display_name":"International Journal of Semantic Computing","issn_l":"1793-7108","issn":["1793-7108","1793-351X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Semantic Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1591541137","https://openalex.org/W1971462626","https://openalex.org/W1980454101","https://openalex.org/W2014632812","https://openalex.org/W2050156077","https://openalex.org/W2067101234","https://openalex.org/W2126271496","https://openalex.org/W2138361487","https://openalex.org/W2144624153","https://openalex.org/W2155054718","https://openalex.org/W2159132531","https://openalex.org/W2604870353","https://openalex.org/W2769788226"],"related_works":["https://openalex.org/W2922421953","https://openalex.org/W3002270006","https://openalex.org/W2782964878","https://openalex.org/W2754428891","https://openalex.org/W4281560450","https://openalex.org/W1497101000","https://openalex.org/W2095705906","https://openalex.org/W2980691083","https://openalex.org/W3046346900","https://openalex.org/W2730449274"],"abstract_inverted_index":{"Lane":[0],"detection":[1,20,36,65],"is":[2,37,113],"a":[3,11,76,85],"crucial":[4],"factor":[5],"for":[6,28,33],"self-driving":[7],"cars":[8],"to":[9,16,38,74,89,100,115],"achieve":[10],"fully":[12],"autonomous":[13,29],"mode.":[14],"Due":[15],"its":[17],"importance,":[18],"lane":[19,35,54,81,127],"has":[21],"drawn":[22],"wide":[23],"attention":[24],"in":[25,43,119,126],"recent":[26],"years":[27],"driving.":[30],"One":[31],"challenge":[32],"accurate":[34],"deal":[39],"with":[40],"noise":[41],"appearing":[42,118],"the":[44,69,80,92,102,124],"input":[45,120],"image,":[46,121],"such":[47],"as":[48],"object":[49],"shadows,":[50],"brake":[51],"marks,":[52],"breaking":[53],"lines.":[55],"To":[56],"address":[57],"this":[58],"challenge,":[59],"we":[60],"propose":[61],"an":[62,97],"effective":[63],"road":[64],"algorithm.":[66],"We":[67,95],"leverage":[68],"strength":[70],"of":[71,79,104],"color":[72],"filters":[73],"find":[75],"rough":[77],"localization":[78],"marks":[82],"and":[83],"employ":[84],"K-means":[86],"clustering":[87],"filter":[88],"screen":[90],"out":[91],"embedded":[93],"noises.":[94],"use":[96],"extensive":[98],"experiment":[99],"verify":[101],"effectiveness":[103],"our":[105,111],"method.":[106],"The":[107],"result":[108],"indicates":[109],"that":[110],"approach":[112],"robust":[114],"process":[116],"noises":[117],"which":[122],"improves":[123],"accuracy":[125],"detection.":[128]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}