{"id":"https://openalex.org/W2740525581","doi":"https://doi.org/10.1109/ivs.2017.7995766","title":"Real-time lane detection and forward collision warning system based on stereo vision","display_name":"Real-time lane detection and forward collision warning system based on stereo vision","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2740525581","doi":"https://doi.org/10.1109/ivs.2017.7995766","mag":"2740525581"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2017.7995766","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2017.7995766","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Intelligent Vehicles Symposium (IV)","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/A5029808668","display_name":"Wenjie Song","orcid":"https://orcid.org/0000-0002-4121-908X"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenjie Song","raw_affiliation_strings":["Princeton University, United States","State Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institution of Technology, Beijing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Princeton University, United States","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"State Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institution of Technology, Beijing, P.R. China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091459774","display_name":"Mengyin Fu","orcid":"https://orcid.org/0000-0002-5520-7127"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengyin Fu","raw_affiliation_strings":["Nanjing University of Science and Technology, Nanjing, P.R. China","State Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institution of Technology, Beijing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology, Nanjing, P.R. China","institution_ids":["https://openalex.org/I36399199"]},{"raw_affiliation_string":"State Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institution of Technology, Beijing, P.R. China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062124960","display_name":"Yi Yang","orcid":"https://orcid.org/0000-0003-3964-2433"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi Yang","raw_affiliation_strings":["State Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institution of Technology, Beijing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institution of Technology, Beijing, P.R. China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100416064","display_name":"Meiling Wang","orcid":"https://orcid.org/0000-0002-3618-7423"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meiling Wang","raw_affiliation_strings":["State Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institution of Technology, Beijing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institution of Technology, Beijing, P.R. China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100352846","display_name":"Xinyu Wang","orcid":"https://orcid.org/0009-0001-2925-1466"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xinyu Wang","raw_affiliation_strings":["State Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institution of Technology, Beijing, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institution of Technology, Beijing, P.R. China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108544349","display_name":"Alain L. Kornhauser","orcid":null},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alain Kornhauser","raw_affiliation_strings":["Princeton University, Princeton, NJ, US"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Princeton University, Princeton, NJ, US","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.0358,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.91822463,"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":"493","last_page":"498"},"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":0.9987000226974487,"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":0.9968000054359436,"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":0.790442943572998},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7709698677062988},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.741623044013977},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.5893473625183105},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.5821382403373718},{"id":"https://openalex.org/keywords/hough-transform","display_name":"Hough transform","score":0.5664966106414795},{"id":"https://openalex.org/keywords/sobel-operator","display_name":"Sobel operator","score":0.5052517056465149},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.47587719559669495},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4518418610095978},{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision avoidance","score":0.43270260095596313},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.42309367656707764},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.41057485342025757},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3964172601699829},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.29193052649497986},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14200815558433533},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.1280486285686493},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08222895860671997}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.790442943572998},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7709698677062988},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.741623044013977},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.5893473625183105},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.5821382403373718},{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.5664966106414795},{"id":"https://openalex.org/C30703548","wikidata":"https://www.wikidata.org/wiki/Q1757673","display_name":"Sobel operator","level":5,"score":0.5052517056465149},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.47587719559669495},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4518418610095978},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.43270260095596313},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.42309367656707764},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.41057485342025757},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3964172601699829},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.29193052649497986},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14200815558433533},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.1280486285686493},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08222895860671997},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2017.7995766","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2017.7995766","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Intelligent Vehicles Symposium (IV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W207503811","https://openalex.org/W1562763993","https://openalex.org/W1772650917","https://openalex.org/W2028603096","https://openalex.org/W2033990181","https://openalex.org/W2034430035","https://openalex.org/W2102049273","https://openalex.org/W2118545852","https://openalex.org/W2144041313","https://openalex.org/W2150066425","https://openalex.org/W2159107954","https://openalex.org/W2159132531","https://openalex.org/W2215066518","https://openalex.org/W2474236724","https://openalex.org/W2514854142","https://openalex.org/W2963502507","https://openalex.org/W2963891150","https://openalex.org/W3102168793","https://openalex.org/W6608396466","https://openalex.org/W6638039622","https://openalex.org/W6725597984"],"related_works":["https://openalex.org/W2362890552","https://openalex.org/W2392642780","https://openalex.org/W2030098947","https://openalex.org/W1985441784","https://openalex.org/W2377469626","https://openalex.org/W2348852121","https://openalex.org/W2778043029","https://openalex.org/W2891167363","https://openalex.org/W2313759312","https://openalex.org/W3002010059"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,41],"real-time":[4],"and":[5,9,26,34,53,67,96,125],"robust":[6],"lane":[7,86,103],"detection":[8],"forward":[10,108],"collision":[11,109],"warning":[12],"technique":[13],"based":[14],"on":[15,113],"stereo":[16,24],"cameras.":[17],"First,":[18],"obstacles":[19,51],"image":[20,52],"is":[21,65,87,104],"obtained":[22],"through":[23],"matching":[25],"UV-disparity":[27],"segmentation":[28],"algorithm.":[29],"Then,":[30],"Inverse":[31],"Perspective":[32],"Mapping(IPM)":[33],"Sobel":[35],"filtering":[36],"are":[37,71],"conducted":[38],"to":[39,78],"generate":[40],"low-noise":[42],"top":[43,62],"view":[44,63],"of":[45],"the":[46,50,54,61,68,74,79,84,93,97,107,114,128],"road":[47],"by":[48],"fusing":[49],"original":[55],"image.":[56],"Next,":[57],"Hough":[58],"Transformation":[59],"for":[60,106],"map":[64],"completed":[66],"extreme":[69],"points(poles)":[70],"calculated":[72],"as":[73],"detected":[75,94,105],"lanes":[76,81,95],"according":[77],"traffic":[80],"model.":[82],"Besides,":[83],"host":[85,102],"selected":[88],"or":[89],"supplemented":[90],"among":[91],"all":[92],"nearest":[98],"obstacle":[99],"in":[100,127],"this":[101],"warning.":[110],"Experimental":[111],"results":[112],"public":[115],"data":[116],"set":[117],"indicate":[118],"that":[119],"our":[120],"method":[121],"can":[122],"work":[123],"effectively":[124],"real-timely":[126],"normal":[129],"structured":[130],"environment.":[131]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}