{"id":"https://openalex.org/W1966856184","doi":"https://doi.org/10.1109/icinfa.2014.6932666","title":"A multi-segment lane-switch algorithm for efficient real-time lane detection","display_name":"A multi-segment lane-switch algorithm for efficient real-time lane detection","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W1966856184","doi":"https://doi.org/10.1109/icinfa.2014.6932666","mag":"1966856184"},"language":"en","primary_location":{"id":"doi:10.1109/icinfa.2014.6932666","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2014.6932666","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Information and Automation (ICIA)","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/A5100506690","display_name":"Dazhou Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I1302611135","display_name":"Ministry of Public Security of the People's Republic of China","ror":"https://ror.org/00bt9we26","country_code":"CN","type":"government","lineage":["https://openalex.org/I1302611135"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dazhou Wu","raw_affiliation_strings":["The Third Research Institute of the Ministry of Public Security, Shanghai, China","The Third Research Institute of the Ministry of Public Security, Shanghai 201204, China"],"affiliations":[{"raw_affiliation_string":"The Third Research Institute of the Ministry of Public Security, Shanghai, China","institution_ids":["https://openalex.org/I1302611135"]},{"raw_affiliation_string":"The Third Research Institute of the Ministry of Public Security, Shanghai 201204, China","institution_ids":["https://openalex.org/I1302611135"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024522346","display_name":"Rui Zhao","orcid":"https://orcid.org/0000-0001-5874-131X"},"institutions":[{"id":"https://openalex.org/I1302611135","display_name":"Ministry of Public Security of the People's Republic of China","ror":"https://ror.org/00bt9we26","country_code":"CN","type":"government","lineage":["https://openalex.org/I1302611135"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Zhao","raw_affiliation_strings":["The Third Research Institute of the Ministry of Public Security, Shanghai, China","The Third Research Institute of the Ministry of Public Security, Shanghai 201204, China"],"affiliations":[{"raw_affiliation_string":"The Third Research Institute of the Ministry of Public Security, Shanghai, China","institution_ids":["https://openalex.org/I1302611135"]},{"raw_affiliation_string":"The Third Research Institute of the Ministry of Public Security, Shanghai 201204, China","institution_ids":["https://openalex.org/I1302611135"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004301353","display_name":"Zhihua Wei","orcid":"https://orcid.org/0000-0002-5937-3907"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihua Wei","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University, Shanghai, China","Department of Computer Science and Technology, Tongji University, Shanghai, 201804, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, 201804, China#TAB#","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100506690"],"corresponding_institution_ids":["https://openalex.org/I1302611135"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.12323671,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"18","issue":null,"first_page":"273","last_page":"278"},"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":0.9959999918937683,"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":0.9926000237464905,"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-science","display_name":"Computer science","score":0.780159592628479},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.584172248840332},{"id":"https://openalex.org/keywords/intelligent-transportation-system","display_name":"Intelligent transportation system","score":0.5024542808532715},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5015013217926025},{"id":"https://openalex.org/keywords/algorithm-design","display_name":"Algorithm design","score":0.47522690892219543},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4734637141227722},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.435285359621048},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4126339554786682},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4104488790035248},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3671608567237854},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.16420677304267883},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12213850021362305}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.780159592628479},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.584172248840332},{"id":"https://openalex.org/C47796450","wikidata":"https://www.wikidata.org/wiki/Q508378","display_name":"Intelligent transportation system","level":2,"score":0.5024542808532715},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5015013217926025},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.47522690892219543},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4734637141227722},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.435285359621048},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4126339554786682},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4104488790035248},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3671608567237854},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.16420677304267883},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12213850021362305},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icinfa.2014.6932666","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2014.6932666","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Information and Automation (ICIA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1493577213","https://openalex.org/W1518058488","https://openalex.org/W1892261429","https://openalex.org/W1968256263","https://openalex.org/W1976362452","https://openalex.org/W1989962009","https://openalex.org/W1997961682","https://openalex.org/W2008791833","https://openalex.org/W2013282552","https://openalex.org/W2032227103","https://openalex.org/W2085261163","https://openalex.org/W2099574486","https://openalex.org/W2102362469","https://openalex.org/W2104291212","https://openalex.org/W2104863167","https://openalex.org/W2107854277","https://openalex.org/W2118545852","https://openalex.org/W2129926140","https://openalex.org/W2131076267","https://openalex.org/W2131350633","https://openalex.org/W2136929315","https://openalex.org/W2139201630","https://openalex.org/W2145023731","https://openalex.org/W2146575011","https://openalex.org/W2150919174","https://openalex.org/W2152703016","https://openalex.org/W2153277923","https://openalex.org/W2233094356","https://openalex.org/W3102168793","https://openalex.org/W4213056881","https://openalex.org/W4242031213","https://openalex.org/W6682284130"],"related_works":["https://openalex.org/W1975289146","https://openalex.org/W2105887828","https://openalex.org/W2087240539","https://openalex.org/W4236520801","https://openalex.org/W2122599759","https://openalex.org/W1537234410","https://openalex.org/W1995022398","https://openalex.org/W1185300216","https://openalex.org/W2114205111","https://openalex.org/W115923022"],"abstract_inverted_index":{"Lane":[0],"detection":[1],"is":[2,28],"an":[3,22],"important":[4],"aspect":[5],"of":[6,41],"intelligent":[7],"transportation":[8],"systems.":[9],"In":[10],"this":[11],"study,":[12],"we":[13,48],"propose":[14],"a":[15],"fast":[16],"real-time":[17],"lane-detection":[18],"algorithm":[19,36,61],"based":[20],"on":[21],"automated":[23],"multi-segment":[24],"lane-switch":[25],"scheme":[26],"which":[27],"integrated":[29],"with":[30],"the":[31,39,42],"traditional":[32],"Random":[33],"Sample":[34],"Consensus":[35],"to":[37,57,69],"improve":[38],"performance":[40],"algorithm.":[43],"To":[44],"conduct":[45],"our":[46,60],"experiments,":[47],"used":[49],"videos":[50],"captured":[51],"from":[52],"urban":[53],"roads":[54],"and":[55,66],"highways":[56],"show":[58],"that":[59],"has":[62],"higher":[63],"efficiency":[64],"than":[65],"comparable":[67],"precision":[68],"other":[70],"state-of-the-art":[71],"algorithms.":[72]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}