{"id":"https://openalex.org/W2000931395","doi":"https://doi.org/10.1142/s0219878913500162","title":"LANE-BASED DIRECTION MARKING RECOGNITION USING HU MOMENTS","display_name":"LANE-BASED DIRECTION MARKING RECOGNITION USING HU MOMENTS","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W2000931395","doi":"https://doi.org/10.1142/s0219878913500162","mag":"2000931395"},"language":"en","primary_location":{"id":"doi:10.1142/s0219878913500162","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219878913500162","pdf_url":null,"source":{"id":"https://openalex.org/S186208447","display_name":"International Journal of Information Acquisition","issn_l":"0219-8789","issn":["0219-8789","1793-6985"],"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 Information Acquisition","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/A5103426006","display_name":"YUANYUAN XU","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210099079","display_name":"Institute of Intelligent Machines","ror":"https://ror.org/00w0qep84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667","https://openalex.org/I4210099079"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"YUANYUAN XU","raw_affiliation_strings":["Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031, P. R. China","School of Information Science and Technology, University of Science and Technology of China, Hefei 230027, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031, P. R. China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210099079"]},{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, Hefei 230027, P. R. China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101061900","display_name":"Bin Kong","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210099079","display_name":"Institute of Intelligent Machines","ror":"https://ror.org/00w0qep84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667","https://openalex.org/I4210099079"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"BIN KONG","raw_affiliation_strings":["Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031, P. R. China","Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031 (P.R. China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031, P. R. China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210099079"]},{"raw_affiliation_string":"Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031 (P.R. China)","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210099079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110367900","display_name":"Hu Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210099079","display_name":"Institute of Intelligent Machines","ror":"https://ror.org/00w0qep84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667","https://openalex.org/I4210099079"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"HU WEI","raw_affiliation_strings":["Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031, P. R. China","Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031 (P.R. China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031, P. R. China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210099079"]},{"raw_affiliation_string":"Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031 (P.R. China)","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210099079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101735388","display_name":"Qiang Tian","orcid":"https://orcid.org/0000-0001-7133-0590"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210099079","display_name":"Institute of Intelligent Machines","ror":"https://ror.org/00w0qep84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667","https://openalex.org/I4210099079"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"QIANG TIAN","raw_affiliation_strings":["Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031, P. R. China","Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031 (P.R. China)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031, P. R. China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210099079"]},{"raw_affiliation_string":"Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031 (P.R. China)","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210099079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07374663,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"09","issue":"03n04","first_page":"1350016","last_page":"1350016"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9961000084877014,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9961000084877014,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9922000169754028,"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/T14270","display_name":"Simulation and Modeling Applications","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8134682178497314},{"id":"https://openalex.org/keywords/sobel-operator","display_name":"Sobel operator","score":0.793607234954834},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.769402027130127},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7443838715553284},{"id":"https://openalex.org/keywords/luminance","display_name":"Luminance","score":0.6994097828865051},{"id":"https://openalex.org/keywords/mahalanobis-distance","display_name":"Mahalanobis distance","score":0.6059185862541199},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5534194707870483},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.46163225173950195},{"id":"https://openalex.org/keywords/vanishing-point","display_name":"Vanishing point","score":0.43636026978492737},{"id":"https://openalex.org/keywords/canny-edge-detector","display_name":"Canny edge detector","score":0.4355354905128479},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.4100741446018219},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.37621259689331055},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3409367799758911},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.30862390995025635}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8134682178497314},{"id":"https://openalex.org/C30703548","wikidata":"https://www.wikidata.org/wiki/Q1757673","display_name":"Sobel operator","level":5,"score":0.793607234954834},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.769402027130127},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7443838715553284},{"id":"https://openalex.org/C73313986","wikidata":"https://www.wikidata.org/wiki/Q355386","display_name":"Luminance","level":2,"score":0.6994097828865051},{"id":"https://openalex.org/C1921717","wikidata":"https://www.wikidata.org/wiki/Q1334846","display_name":"Mahalanobis distance","level":2,"score":0.6059185862541199},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5534194707870483},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.46163225173950195},{"id":"https://openalex.org/C99404194","wikidata":"https://www.wikidata.org/wiki/Q163362","display_name":"Vanishing point","level":3,"score":0.43636026978492737},{"id":"https://openalex.org/C14705441","wikidata":"https://www.wikidata.org/wiki/Q597183","display_name":"Canny edge detector","level":5,"score":0.4355354905128479},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.4100741446018219},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.37621259689331055},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3409367799758911},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.30862390995025635}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219878913500162","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219878913500162","pdf_url":null,"source":{"id":"https://openalex.org/S186208447","display_name":"International Journal of Information Acquisition","issn_l":"0219-8789","issn":["0219-8789","1793-6985"],"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 Information Acquisition","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1540596182","https://openalex.org/W1988013383","https://openalex.org/W2155491122","https://openalex.org/W2159498975","https://openalex.org/W4300958603"],"related_works":["https://openalex.org/W3092835544","https://openalex.org/W62557621","https://openalex.org/W2064144473","https://openalex.org/W1967001075","https://openalex.org/W2356242818","https://openalex.org/W2367365714","https://openalex.org/W2157949623","https://openalex.org/W4312567938","https://openalex.org/W2354100707","https://openalex.org/W2287423788"],"abstract_inverted_index":{"In":[0],"intelligent":[1],"vehicle":[2],"system,":[3],"it":[4,118],"is":[5,32,50,140,158],"significant":[6],"to":[7,15,24,62,83,112,119,137,154],"detect":[8,138],"and":[9,39,78,116,143,160],"identify":[10],"road":[11,29],"markings":[12,27],"for":[13,94],"vehicles":[14],"follow":[16],"traffic":[17],"regulation.":[18],"This":[19],"paper":[20,101],"proposes":[21],"a":[22,162],"method":[23,82,136,153],"recognize":[25,155],"direction":[26,156],"on":[28,33,52],"surface,":[30],"which":[31,56,122],"the":[34,46,58,63,67,72,85,89,95,100,120,124,128,132,135,152],"basis":[35],"of":[36,44,48,75,97,105],"detected":[37,90],"lanes":[38,49,139],"uses":[40,79],"Hu":[41,103],"moments.":[42],"First":[43],"all,":[45],"detection":[47,150],"based":[51],"horizontal":[53,68],"luminance":[54,64,69],"difference,":[55,70],"converts":[57],"RGB":[59],"color":[60],"image":[61],"image,":[65],"calculates":[66,108],"obtains":[71],"candidate":[73,98,106,129],"points":[74],"lanes'":[76],"edge":[77,149],"least":[80],"square":[81],"fit":[84],"lanes.":[86],"Secondly,":[87],"with":[88,127],"lines":[91],"as":[92],"guide":[93],"search":[96],"marking,":[99,107],"extracts":[102],"moments":[104],"its":[109],"Mahalanobis":[110],"distance":[111,126],"every":[113],"marking":[114,157],"type":[115,121],"classifies":[117],"has":[123,161],"minimal":[125],"marking.":[130],"From":[131],"simulation":[133],"results,":[134],"more":[141],"effective":[142,159],"time-efficient":[144],"than":[145],"canny":[146],"or":[147],"sobel":[148],"methods;":[151],"high":[163],"accuracy.":[164]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
