{"id":"https://openalex.org/W2903868437","doi":"https://doi.org/10.1109/itsc.2018.8569412","title":"A two-wheeled vehicle oriented lane detection algorithm","display_name":"A two-wheeled vehicle oriented lane detection algorithm","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2903868437","doi":"https://doi.org/10.1109/itsc.2018.8569412","mag":"2903868437"},"language":"en","primary_location":{"id":"doi:10.1109/itsc.2018.8569412","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2018.8569412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 21st International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"},"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/A5055350568","display_name":"Dario Nava","orcid":null},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Dario Nava","raw_affiliation_strings":["Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048724009","display_name":"Giulio Panzani","orcid":"https://orcid.org/0000-0001-8342-536X"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giulio Panzani","raw_affiliation_strings":["Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007415768","display_name":"Pierluigi Zampieri","orcid":null},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Pierluigi Zampieri","raw_affiliation_strings":["Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047303451","display_name":"Sergio M. Savaresi","orcid":"https://orcid.org/0000-0001-5829-2323"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sergio M. Savaresi","raw_affiliation_strings":["Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I93860229"],"apc_list":null,"apc_paid":null,"fwci":0.5908,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63543491,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"423","last_page":"428"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9900000095367432,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9894000291824341,"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/hough-transform","display_name":"Hough transform","score":0.7403395771980286},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7190569639205933},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6848198771476746},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6606807708740234},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6224521398544312},{"id":"https://openalex.org/keywords/monocular-vision","display_name":"Monocular vision","score":0.5886259078979492},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.4872993230819702},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4758981168270111},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.4496021866798401},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.4432864487171173},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3524603247642517},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1616823375225067},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14957964420318604}],"concepts":[{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.7403395771980286},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7190569639205933},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6848198771476746},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6606807708740234},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6224521398544312},{"id":"https://openalex.org/C158829959","wikidata":"https://www.wikidata.org/wiki/Q1640606","display_name":"Monocular vision","level":2,"score":0.5886259078979492},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.4872993230819702},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4758981168270111},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4496021866798401},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.4432864487171173},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3524603247642517},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1616823375225067},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14957964420318604},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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":2,"locations":[{"id":"doi:10.1109/itsc.2018.8569412","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc.2018.8569412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 21st International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"},{"id":"pmh:oai:re.public.polimi.it:11311/1073614","is_oa":false,"landing_page_url":"http://hdl.handle.net/11311/1073614","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W2022460349","https://openalex.org/W2023671107","https://openalex.org/W2025497398","https://openalex.org/W2032438872","https://openalex.org/W2041940848","https://openalex.org/W2126326837","https://openalex.org/W2136929315","https://openalex.org/W2148392562","https://openalex.org/W2152422345","https://openalex.org/W2153974628","https://openalex.org/W2162194504","https://openalex.org/W2164617893","https://openalex.org/W2165438547","https://openalex.org/W2169046791","https://openalex.org/W2172810208","https://openalex.org/W2741348585","https://openalex.org/W2745410201"],"related_works":["https://openalex.org/W3213997683","https://openalex.org/W2995270189","https://openalex.org/W2084124712","https://openalex.org/W2435467664","https://openalex.org/W2091635186","https://openalex.org/W4381188157","https://openalex.org/W2011626633","https://openalex.org/W2037866696","https://openalex.org/W4251947321","https://openalex.org/W2027891072"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,11,15,49,69,110,137],"lane":[4,51,78,89,94],"detection":[5,139],"and":[6,39,56,129,143],"classification":[7,144],"algorithm":[8,26,123],"based":[9,64],"on":[10,65],"monocular":[12],"camera":[13],"for":[14],"two-wheeled":[16],"vehicle":[17,82],"in":[18,31,36,112],"small":[19,130],"roll":[20,134],"angle":[21],"conditions":[22],"is":[23,27,95],"described.":[24],"The":[25,100],"designed":[28],"to":[29,126],"work":[30],"different":[32,113],"illumination":[33,127],"conditions,":[34],"both":[35],"night":[37],"time":[38],"daytime.":[40],"First,":[41],"all":[42,86],"road":[43],"line":[44,60],"markings":[45,61],"are":[46,62,83],"identified":[47],"using":[48,68,97,106],"linear":[50],"model":[52],"exploiting":[53],"Hough":[54],"transform":[55],"perspective":[57],"filtering.":[58],"Identified":[59],"classified":[63],"geometric":[66],"features":[67],"suitable":[70],"SVM.":[71],"Then,":[72],"the":[73,76,81,87,119,122],"boundaries":[74],"of":[75,121,132,141,146],"actual":[77],"occupied":[79],"by":[80],"detected":[84,93],"among":[85],"possible":[88],"marking":[90],"couples.":[91],"Finally,":[92],"tracked":[96],"heuristic":[98],"rules.":[99],"overall":[101,138],"strategy":[102],"has":[103],"been":[104],"validated":[105],"videos":[107],"acquired":[108],"with":[109,124,136],"motorcycle":[111,133],"scenarios.":[114],"Experimental":[115],"results":[116],"have":[117],"proven":[118],"robustness":[120],"respect":[125],"changes":[128],"variations":[131],"angle,":[135],"accuracy":[140,145],"94.8%":[142],"98.1%.":[147]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}