{"id":"https://openalex.org/W1920183122","doi":"https://doi.org/10.1109/iciis.1999.810313","title":"Lane detection using B-snake","display_name":"Lane detection using B-snake","publication_year":2003,"publication_date":"2003-01-20","ids":{"openalex":"https://openalex.org/W1920183122","doi":"https://doi.org/10.1109/iciis.1999.810313","mag":"1920183122"},"language":"en","primary_location":{"id":"doi:10.1109/iciis.1999.810313","doi":"https://doi.org/10.1109/iciis.1999.810313","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciis.1999.810313","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 1999 International Conference on Information Intelligence and Systems (Cat. No.PR00446)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5100646919","display_name":"Yue Wang","orcid":"https://orcid.org/0000-0002-9822-6782","observed_orcids":["https://orcid.org/0000-0002-9822-6782","https://orcid.org/0000-0002-0981-935X"]},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yue Wang","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111838060","display_name":"Eam Khwang Teoh","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Eam Khwang Teoh","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","Nanyang Technological University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technological University","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000937401","display_name":"Dinggang G. Shen","orcid":"https://orcid.org/0000-0002-7934-5698","observed_orcids":["https://orcid.org/0000-0002-7934-5698","https://orcid.org/0000-0001-8350-6581","https://orcid.org/0000-0002-5567-3339"]},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Dinggang Shen","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","Nanyang Technological University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technological University","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":4.7578,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.95116487,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"438","last_page":"443"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9990000128746033,"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":0.9990000128746033,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.00019999999494757503,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.00019999999494757503,"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/lane-detection","display_name":"lane detection","score":0.9980000257492065},{"id":"https://openalex.org/keywords/b-splines","display_name":"B-splines","score":0.781000018119812},{"id":"https://openalex.org/keywords/initial-position-estimation","display_name":"initial position estimation","score":0.6480000019073486},{"id":"https://openalex.org/keywords/control-point-optimization","display_name":"control point optimization","score":0.6779999732971191},{"id":"https://openalex.org/keywords/road-images","display_name":"road images","score":0.7730000019073486}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.634728193283081},{"id":"https://openalex.org/C182124507","wikidata":"https://www.wikidata.org/wiki/Q166154","display_name":"Line segment","level":2,"score":0.593375027179718},{"id":"https://openalex.org/C15945459","wikidata":"https://www.wikidata.org/wiki/Q2083109","display_name":"B-spline","level":2,"score":0.5767859816551208},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5593501925468445},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5490999817848206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5319063663482666},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.44479626417160034},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.42550987005233765},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.417108952999115},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3812236189842224},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2595363259315491},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.127606600522995},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1199219822883606},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iciis.1999.810313","doi":"https://doi.org/10.1109/iciis.1999.810313","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciis.1999.810313","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 1999 International Conference on Information Intelligence and Systems (Cat. No.PR00446)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1518058488","https://openalex.org/W1892261429","https://openalex.org/W1950756354","https://openalex.org/W2000366549","https://openalex.org/W2102362469","https://openalex.org/W2104095591","https://openalex.org/W2104863167","https://openalex.org/W2131350633","https://openalex.org/W2136929315","https://openalex.org/W2139201630","https://openalex.org/W2145803225","https://openalex.org/W2153277923"],"related_works":["https://openalex.org/W7098106062","https://openalex.org/W2406798822","https://openalex.org/W45615325","https://openalex.org/W7098030738","https://openalex.org/W2032438872","https://openalex.org/W2555766955","https://openalex.org/W90228114","https://openalex.org/W3132856355","https://openalex.org/W2187930044","https://openalex.org/W7100958242"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,22,36,84,92],"B-snake":[3,14,111],"based":[4,15],"lane":[5,11,16,26,48],"detection":[6],"algorithm.":[7],"Compared":[8],"with":[9],"other":[10],"models,":[12],"the":[13,57,61,64,68,71,89,106,110,114,127,139,148,151,155,158],"model":[17,112],"is":[18,80,102,130],"able":[19],"to":[20,104,146],"describe":[21],"wider":[23],"range":[24],"of":[25,38,43,47,59,63,70,109,121],"structures,":[27],"since":[28],"B-spline":[29],"can":[30],"form":[31],"any":[32],"arbitrary":[33],"shape":[34],"by":[35,66,96,113],"set":[37],"control":[39,107],"points.":[40],"The":[41],"problems":[42],"detecting":[44,60],"both":[45,147],"sides":[46,120],"markings":[49],"(or":[50],"boundaries)":[51],"have":[52],"been":[53],"formulated":[54],"here":[55],"as":[56],"problem":[58],"mid-line":[62],"lane,":[65],"using":[67],"knowledge":[69],"perspective":[72],"parallel":[73],"lines.":[74],"A":[75],"robust":[76,131],"algorithm":[77],"called":[78],"CHEVP":[79],"presented":[81],"for":[82,88],"providing":[83],"good":[85],"initial":[86],"position":[87],"B-snake.":[90],"Furthermore,":[91],"minimum":[93],"energy":[94],"method":[95,129],"MMSE":[97],"(minimum":[98],"mean":[99],"square":[100],"energy)":[101],"suggested":[103],"determine":[105],"points":[108],"overall":[115],"image":[116],"forces":[117],"on":[118],"two":[119],"lane.":[122],"Experimental":[123],"results":[124],"show":[125],"that":[126],"proposed":[128],"against":[132],"noise,":[133],"shadows,":[134],"and":[135,143,150,154,157],"illumination":[136],"variations":[137],"in":[138],"captured":[140],"road":[141],"images,":[142],"also":[144],"applicable":[145],"marked":[149],"unmarked":[152],"roads,":[153],"dash":[156],"solid":[159],"paint":[160],"line":[161],"roads.":[162]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-06-24T00:00:00"}
