{"id":"https://openalex.org/W2138362596","doi":"https://doi.org/10.1109/itsc.2008.4732527","title":"Vision-Based Real-Time Lane Marking Detection and Tracking","display_name":"Vision-Based Real-Time Lane Marking Detection and Tracking","publication_year":2008,"publication_date":"2008-10-01","ids":{"openalex":"https://openalex.org/W2138362596","doi":"https://doi.org/10.1109/itsc.2008.4732527","mag":"2138362596"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2008.4732527","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2008.4732527","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 11th International IEEE Conference on Intelligent Transportation Systems","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/A5100431810","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0002-4403-737X"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Wei Liu","raw_affiliation_strings":["Department of computer science and technology, Northeastern University, USA","Dept. of Comput. Sci. & Technol., Northeastern Univ., Shenyang"],"affiliations":[{"raw_affiliation_string":"Department of computer science and technology, Northeastern University, USA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Technol., Northeastern Univ., Shenyang","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100440579","display_name":"Hongliang Zhang","orcid":"https://orcid.org/0000-0003-3393-8612"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]},{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Hongliang Zhang","raw_affiliation_strings":["Software Center, Northeastern University, Shenyang, China","Software Center, Northeastern Univ., Shenyang"],"affiliations":[{"raw_affiliation_string":"Software Center, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Software Center, Northeastern Univ., Shenyang","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111916594","display_name":"Bobo Duan","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]},{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Bobo Duan","raw_affiliation_strings":["Software Center, Northeastern University, Shenyang, China","Software Center, Northeastern Univ., Shenyang"],"affiliations":[{"raw_affiliation_string":"Software Center, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"Software Center, Northeastern Univ., Shenyang","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060014411","display_name":"Huai Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094894","display_name":"China Automotive Technology and Research Center","ror":"https://ror.org/00r5r6807","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210094894"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huai Yuan","raw_affiliation_strings":["Advanced Automotive Technology Research Center, Shenyang, China","Adv. Automotive Technol. Res. Center, Shenyang"],"affiliations":[{"raw_affiliation_string":"Advanced Automotive Technology Research Center, Shenyang, China","institution_ids":["https://openalex.org/I4210094894"]},{"raw_affiliation_string":"Adv. Automotive Technol. Res. Center, Shenyang","institution_ids":["https://openalex.org/I4210094894"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001407583","display_name":"Hong Zhao","orcid":"https://orcid.org/0000-0001-8292-7691"},"institutions":[{"id":"https://openalex.org/I4210094894","display_name":"China Automotive Technology and Research Center","ror":"https://ror.org/00r5r6807","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210094894"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Zhao","raw_affiliation_strings":["Advanced Automotive Technology Research Center, Shenyang, China","Adv. Automotive Technol. Res. Center, Shenyang"],"affiliations":[{"raw_affiliation_string":"Advanced Automotive Technology Research Center, Shenyang, China","institution_ids":["https://openalex.org/I4210094894"]},{"raw_affiliation_string":"Adv. Automotive Technol. Res. Center, Shenyang","institution_ids":["https://openalex.org/I4210094894"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100431810"],"corresponding_institution_ids":["https://openalex.org/I12912129"],"apc_list":null,"apc_paid":null,"fwci":5.7593,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.95731232,"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":"49","last_page":"54"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9991999864578247,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9991000294685364,"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-vision","display_name":"Computer vision","score":0.7709890604019165},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.757204532623291},{"id":"https://openalex.org/keywords/particle-filter","display_name":"Particle filter","score":0.7458252310752869},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7204602956771851},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7051647901535034},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5191622972488403},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.45579230785369873},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.44344720244407654},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.3017577528953552},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.17309030890464783},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12158569693565369}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7709890604019165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.757204532623291},{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.7458252310752869},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7204602956771851},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7051647901535034},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5191622972488403},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.45579230785369873},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.44344720244407654},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.3017577528953552},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.17309030890464783},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12158569693565369},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc.2008.4732527","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2008.4732527","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 11th International IEEE Conference on Intelligent Transportation Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6800000071525574,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1533614607","https://openalex.org/W1572917090","https://openalex.org/W1585041371","https://openalex.org/W1944803505","https://openalex.org/W2092272471","https://openalex.org/W2121550293","https://openalex.org/W2129926140","https://openalex.org/W2143977549","https://openalex.org/W2159977237","https://openalex.org/W2161406034","https://openalex.org/W2170178366","https://openalex.org/W2178829616","https://openalex.org/W6632023624"],"related_works":["https://openalex.org/W1989212443","https://openalex.org/W2103644279","https://openalex.org/W4302986566","https://openalex.org/W1968585197","https://openalex.org/W2135362996","https://openalex.org/W4247544095","https://openalex.org/W2122155275","https://openalex.org/W2028037572","https://openalex.org/W2215635302","https://openalex.org/W2315652488"],"abstract_inverted_index":{"Detection":[0],"and":[1,11,24,40,117,129,138,143],"tracking":[2,25],"of":[3,26,104,152],"lane":[4,28,38,58,66,83,106,121],"marking":[5,39,84,107],"is":[6,19,33,46,72,85,97],"essential":[7],"for":[8],"driving":[9],"safety":[10],"intelligent":[12],"vehicle.":[13],"In":[14,60],"this":[15],"paper,":[16],"an":[17],"algorithm":[18,146],"presented":[20],"which":[21,53],"allows":[22],"detection":[23,91],"multiple":[27],"markings.":[29,59],"Edge":[30],"points":[31],"cue":[32],"used":[34,47,98],"to":[35,48,57,62,99],"detect":[36],"the":[37,50,64,101,105],"a":[41,68,75,82,94],"road":[42,125],"orientation":[43],"estimation":[44],"method":[45,71],"delete":[49],"edge":[51],"lines":[52],"are":[54,127],"impossible":[55],"attribute":[56],"order":[61],"select":[63],"candidate":[65],"marking,":[67],"confidence":[69,118],"measures":[70,119],"proposed.":[73],"Then":[74],"finite-state":[76],"machine":[77],"decides":[78],"whether":[79],"or":[80],"not":[81],"really":[86],"detected":[87,128],"by":[88],"fusion":[89],"multi-frame":[90],"results.":[92],"Specifically,":[93],"particle":[95,115],"filter":[96],"predict":[100],"future":[102],"values":[103],"model":[108],"parameters,":[109],"based":[110],"on":[111,123],"past":[112],"observations.":[113],"With":[114],"filtering":[116],"method,":[120],"markings":[122],"various":[124],"scenes":[126],"tracked.":[130],"Experimental":[131],"in":[132,148],"different":[133],"conditions,":[134],"including":[135],"illumination,":[136],"weather":[137],"road,":[139],"demonstrates":[140],"its":[141],"effectiveness":[142],"robustness.":[144],"The":[145],"runs":[147],"real-time":[149],"at":[150],"rates":[151],"about":[153],"30":[154],"Hz.":[155]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
