{"id":"https://openalex.org/W2103325711","doi":"https://doi.org/10.1109/ivs.2014.6856467","title":"Utilizing instantaneous driving direction for enhancing lane-marking detection","display_name":"Utilizing instantaneous driving direction for enhancing lane-marking detection","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2103325711","doi":"https://doi.org/10.1109/ivs.2014.6856467","mag":"2103325711"},"language":"en","primary_location":{"id":"doi:10.1109/ivs.2014.6856467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2014.6856467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Intelligent Vehicles Symposium Proceedings","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/A5103060103","display_name":"Young\u2010Woo Seo","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Young-Woo Seo","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, US","Dept. of Electr./Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, US","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Dept. of Electr./Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104053889","display_name":"Ragunathan Rajkumar","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ragunathan Raj Rajkumar","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, US","Dept. of Electr./Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, US","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Dept. of Electr./Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103060103"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":4.3523,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.94279957,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"25","issue":null,"first_page":"170","last_page":"175"},"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":0.9890999794006348,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.7847113013267517},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.7579845786094666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7375631928443909},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.7319621443748474},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.6629013419151306},{"id":"https://openalex.org/keywords/vanishing-point","display_name":"Vanishing point","score":0.652593731880188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6472316384315491},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.6199225783348083},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6128944754600525},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5060705542564392},{"id":"https://openalex.org/keywords/line-segment","display_name":"Line segment","score":0.41181179881095886},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25238874554634094},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1391540765762329}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7847113013267517},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.7579845786094666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7375631928443909},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.7319621443748474},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.6629013419151306},{"id":"https://openalex.org/C99404194","wikidata":"https://www.wikidata.org/wiki/Q163362","display_name":"Vanishing point","level":3,"score":0.652593731880188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6472316384315491},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.6199225783348083},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6128944754600525},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5060705542564392},{"id":"https://openalex.org/C182124507","wikidata":"https://www.wikidata.org/wiki/Q166154","display_name":"Line segment","level":2,"score":0.41181179881095886},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25238874554634094},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1391540765762329}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ivs.2014.6856467","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ivs.2014.6856467","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Intelligent Vehicles Symposium Proceedings","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":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1508960934","https://openalex.org/W1968256263","https://openalex.org/W1977799346","https://openalex.org/W2082747607","https://openalex.org/W2085020657","https://openalex.org/W2103866601","https://openalex.org/W2115340290","https://openalex.org/W2115448105","https://openalex.org/W2115710442","https://openalex.org/W2118545852","https://openalex.org/W2121806728","https://openalex.org/W2131076267","https://openalex.org/W2152773561","https://openalex.org/W2157076480","https://openalex.org/W2159132531","https://openalex.org/W2406067508","https://openalex.org/W2539923485","https://openalex.org/W3102168793","https://openalex.org/W6676990836","https://openalex.org/W6677219250"],"related_works":["https://openalex.org/W4386085495","https://openalex.org/W2601467812","https://openalex.org/W2506376595","https://openalex.org/W2800988540","https://openalex.org/W2164847519","https://openalex.org/W2434409560","https://openalex.org/W1575787272","https://openalex.org/W1990238906","https://openalex.org/W2284162084","https://openalex.org/W1985392633"],"abstract_inverted_index":{"Our":[0],"earlier":[1],"lane-marking":[2,132],"detection":[3,25],"method":[4,157],"identified":[5],"lane-markings":[6,18,61,76],"appearing":[7,77],"on":[8,13,78,100],"an":[9],"input":[10,79],"image":[11,111,125],"based":[12],"the":[14,50,63,70,89,97,110,114,121,124,143,155],"intensity":[15],"contrast":[16],"between":[17],"pixels":[19],"and":[20,69,104,151],"their":[21,135],"neighboring":[22],"pixels.":[23],"This":[24],"results":[26],"in":[27,44],"outputs":[28],"with":[29,34,84,140,149],"nearly-zero":[30],"false":[31,36,42],"negatives,":[32],"but":[33],"many":[35],"positives.":[37],"To":[38,87],"filter":[39,129],"out":[40,130],"these":[41],"positives":[43],"a":[45,54,67,93,101,106],"principled":[46],"way,":[47],"we":[48,95],"utilize":[49],"driving":[51,64,90,145],"direction":[52,65,91],"of":[53,66,72,92,113,120,123,142],"roadway.":[55],"We":[56,127],"do":[57],"this":[58,85],"because":[59],"longitudinal":[60,75],"delineate":[62],"road":[68],"orientations":[71,136],"any":[73,131],"true,":[74],"images":[80],"should":[81],"be":[82],"aligned":[83,139],"direction.":[86,146],"approximate":[88],"road,":[94],"detect":[96],"vanishing":[98,116],"point":[99,117],"horizon":[102],"line":[103,107],"draw":[105],"to":[108,118],"link":[109],"coordinates":[112],"detected":[115],"those":[119],"center":[122],"bottom.":[126],"then":[128],"blobs":[133],"if":[134],"are":[137],"not":[138],"that":[141],"approximated":[144],"Through":[147],"testing":[148],"streets":[150],"inter-city":[152],"highway":[153],"images,":[154],"proposed":[156],"demonstrates":[158],"its":[159],"effectiveness.":[160]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}