{"id":"https://openalex.org/W2981690411","doi":"https://doi.org/10.1109/icite.2019.8880189","title":"Real Time Multi-lane Detection Using Relevant Lines Based on Line Labeling Method","display_name":"Real Time Multi-lane Detection Using Relevant Lines Based on Line Labeling Method","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2981690411","doi":"https://doi.org/10.1109/icite.2019.8880189","mag":"2981690411"},"language":"en","primary_location":{"id":"doi:10.1109/icite.2019.8880189","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icite.2019.8880189","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 4th International Conference on Intelligent Transportation Engineering (ICITE)","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/A5081249477","display_name":"SangGi Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sanggi Kim","raw_affiliation_strings":["Center for Embedded Software Technology, Kyungpook National University, Daegu, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Embedded Software Technology, Kyungpook National University, Daegu, South Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066033078","display_name":"Rinara Woo","orcid":"https://orcid.org/0000-0002-4447-1889"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Rinara Woo","raw_affiliation_strings":["Center for Embedded Software Technology, Kyungpook National University, Daegu, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Embedded Software Technology, Kyungpook National University, Daegu, South Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Eun-Ju Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Eun-Ju Yang","raw_affiliation_strings":["Center for Embedded Software Technology, Kyungpook National University, Daegu, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Embedded Software Technology, Kyungpook National University, Daegu, South Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111712003","display_name":"Dae-Wha Seo","orcid":null},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dae-Wha Seo","raw_affiliation_strings":["Center for Embedded Software Technology, Kyungpook National University, Daegu, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Embedded Software Technology, Kyungpook National University, Daegu, South Korea","institution_ids":["https://openalex.org/I31419693"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I31419693"],"apc_list":null,"apc_paid":null,"fwci":0.1276,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52220047,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"17","issue":null,"first_page":"301","last_page":"305"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9998000264167786,"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":0.9998000264167786,"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/T12549","display_name":"Image and Object Detection Techniques","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"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9939000010490417,"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/ransac","display_name":"RANSAC","score":0.8311693668365479},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.7894537448883057},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7496814727783203},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6005155444145203},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5839667320251465},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5725530982017517},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.532283365726471},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5065406560897827},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4554862082004547},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4289219379425049},{"id":"https://openalex.org/keywords/scan-line","display_name":"Scan line","score":0.4205814599990845},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3455582559108734},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.1895424723625183},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15900087356567383},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11484405398368835}],"concepts":[{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.8311693668365479},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.7894537448883057},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7496814727783203},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6005155444145203},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5839667320251465},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5725530982017517},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.532283365726471},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5065406560897827},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4554862082004547},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4289219379425049},{"id":"https://openalex.org/C142748172","wikidata":"https://www.wikidata.org/wiki/Q3240002","display_name":"Scan line","level":4,"score":0.4205814599990845},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3455582559108734},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.1895424723625183},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15900087356567383},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11484405398368835},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icite.2019.8880189","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icite.2019.8880189","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 4th International Conference on Intelligent Transportation Engineering (ICITE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2078974006","https://openalex.org/W2108310474","https://openalex.org/W2118545852","https://openalex.org/W2160072137","https://openalex.org/W2215054329","https://openalex.org/W2514854142","https://openalex.org/W2599231600","https://openalex.org/W2743693270","https://openalex.org/W2790755431","https://openalex.org/W2895676856","https://openalex.org/W2902659168","https://openalex.org/W3102168793"],"related_works":["https://openalex.org/W2131378265","https://openalex.org/W2984240274","https://openalex.org/W3107042705","https://openalex.org/W2115876589","https://openalex.org/W1993873197","https://openalex.org/W2162272310","https://openalex.org/W2348131842","https://openalex.org/W2050704785","https://openalex.org/W2075659544","https://openalex.org/W2149276674"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2],"real":[3,90],"time":[4,25,41,74,91],"multi-lane":[5],"detection":[6],"algorithm":[7,19,56,78],"using":[8,27],"monocular":[9],"camera":[10],"mounted":[11],"in":[12,83],"front":[13],"of":[14,75],"the":[15,32,36,72,76],"vehicle.":[16],"The":[17,54,67],"proposed":[18,55,77],"is":[20,57,87],"focused":[21],"on":[22,59],"reducing":[23],"computation":[24,40,73],"by":[26],"line":[28,33],"labeling":[29,34],"method.":[30],"Through":[31],"method,":[35],"algorithms":[37],"requiring":[38],"high":[39],"such":[42],"as":[43],"RANSAC":[44],"and":[45,63,93],"vanishing":[46],"point":[47],"estimation":[48],"are":[49],"able":[50],"to":[51,97],"process":[52],"efficiently.":[53],"evaluated":[58],"both":[60],"our":[61,84],"dataset":[62,85],"Caltech":[64],"Lane":[65],"Dataset.":[66],"experimental":[68],"results":[69],"show":[70],"that":[71],"takes":[79],"18.7ms":[80],"per":[81],"frame":[82],"which":[86],"suitable":[88],"for":[89],"application":[92],"achieving":[94],"comparable":[95],"accuracy":[96],"previous":[98],"study.":[99]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}