{"id":"https://openalex.org/W2769077224","doi":"https://doi.org/10.1109/afrcon.2017.8095697","title":"Reduced resolution lane detection algorithm","display_name":"Reduced resolution lane detection algorithm","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2769077224","doi":"https://doi.org/10.1109/afrcon.2017.8095697","mag":"2769077224"},"language":"en","primary_location":{"id":"doi:10.1109/afrcon.2017.8095697","is_oa":false,"landing_page_url":"https://doi.org/10.1109/afrcon.2017.8095697","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE AFRICON","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/A5112113737","display_name":"Li Dang","orcid":"https://orcid.org/0000-0003-0247-8887"},"institutions":[{"id":"https://openalex.org/I39965400","display_name":"Kettering University","ror":"https://ror.org/03rcspa57","country_code":"US","type":"education","lineage":["https://openalex.org/I39965400"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Li Dang","raw_affiliation_strings":["Electrical and computer Engineering Department, Kettering University, Flint, MI, United States"],"affiliations":[{"raw_affiliation_string":"Electrical and computer Engineering Department, Kettering University, Flint, MI, United States","institution_ids":["https://openalex.org/I39965400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036399652","display_name":"Girma Tewolde","orcid":"https://orcid.org/0000-0002-5462-6231"},"institutions":[{"id":"https://openalex.org/I39965400","display_name":"Kettering University","ror":"https://ror.org/03rcspa57","country_code":"US","type":"education","lineage":["https://openalex.org/I39965400"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Girma Tewolde","raw_affiliation_strings":["Electrical and computer Engineering Department, Kettering University, Flint, MI, United States"],"affiliations":[{"raw_affiliation_string":"Electrical and computer Engineering Department, Kettering University, Flint, MI, United States","institution_ids":["https://openalex.org/I39965400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100339499","display_name":"Xiaoyuan Zhang","orcid":"https://orcid.org/0000-0002-7216-5053"},"institutions":[{"id":"https://openalex.org/I39965400","display_name":"Kettering University","ror":"https://ror.org/03rcspa57","country_code":"US","type":"education","lineage":["https://openalex.org/I39965400"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaoyuan Zhang","raw_affiliation_strings":["Kettering University, Flint, MI, US"],"affiliations":[{"raw_affiliation_string":"Kettering University, Flint, MI, US","institution_ids":["https://openalex.org/I39965400"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045732610","display_name":"Jaerock Kwon","orcid":"https://orcid.org/0000-0002-5687-6998"},"institutions":[{"id":"https://openalex.org/I39965400","display_name":"Kettering University","ror":"https://ror.org/03rcspa57","country_code":"US","type":"education","lineage":["https://openalex.org/I39965400"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jaerock Kwon","raw_affiliation_strings":["Electrical and computer Engineering Department, Kettering University, Flint, MI, United States"],"affiliations":[{"raw_affiliation_string":"Electrical and computer Engineering Department, Kettering University, Flint, MI, United States","institution_ids":["https://openalex.org/I39965400"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5112113737"],"corresponding_institution_ids":["https://openalex.org/I39965400"],"apc_list":null,"apc_paid":null,"fwci":0.702,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.75765633,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1459","last_page":"1464"},"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":0.9843000173568726,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9796000123023987,"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":0.6533401012420654},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6066402196884155},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.6000370979309082},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5028716921806335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4965057969093323},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.45372605323791504},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.44596990942955017},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4329299330711365},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.114285409450531},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07645180821418762},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07075491547584534}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6533401012420654},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6066402196884155},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.6000370979309082},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5028716921806335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4965057969093323},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.45372605323791504},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.44596990942955017},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4329299330711365},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.114285409450531},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07645180821418762},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07075491547584534},{"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/afrcon.2017.8095697","is_oa":false,"landing_page_url":"https://doi.org/10.1109/afrcon.2017.8095697","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE AFRICON","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1968256263","https://openalex.org/W1968258901","https://openalex.org/W2087816846","https://openalex.org/W2095905764","https://openalex.org/W2118545852","https://openalex.org/W2317510212","https://openalex.org/W3102168793","https://openalex.org/W6642201751","https://openalex.org/W6642409998"],"related_works":["https://openalex.org/W1517180214","https://openalex.org/W2082780921","https://openalex.org/W2025517136","https://openalex.org/W2028664052","https://openalex.org/W634414395","https://openalex.org/W2186016250","https://openalex.org/W1584839083","https://openalex.org/W4212954839","https://openalex.org/W3190051883","https://openalex.org/W4401570279"],"abstract_inverted_index":{"Autonomous":[0],"vehicles,":[1,23],"as":[2],"people":[3],"all":[4],"know,":[5],"will":[6],"have":[7],"great":[8],"impact":[9],"to":[10,106,109],"human":[11],"transportation":[12],"in":[13],"the":[14,18,24,41,72,83,98],"near":[15],"future.":[16],"In":[17],"vision":[19],"system":[20],"of":[21,71],"autonomous":[22,110],"lane":[25,42,55,61,73,101],"detection":[26,43,57,62,102],"has":[27,86],"always":[28],"been":[29],"an":[30,36],"important":[31],"part.":[32],"This":[33],"paper":[34],"describes":[35],"algorithm":[37,50,63,103],"which":[38],"can":[39],"make":[40],"process":[44],"faster":[45],"and":[46,58,82],"more":[47],"applicable.":[48],"The":[49,69,90],"is":[51,104],"mainly":[52],"based":[53],"on":[54],"mark":[56],"Reduced":[59],"Resolution":[60],"(R":[64],"<sup":[65],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[66],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[67],"algorithm).":[68],"accuracy":[70],"detection,":[74],"using":[75],"this":[76],"algorithm,":[77],"would":[78],"not":[79],"be":[80,107],"affected":[81],"system,":[84],"meantime,":[85],"a":[87],"quicker":[88],"reaction.":[89],"high":[91,99],"frame":[92],"per":[93],"second":[94],"result":[95],"shows":[96],"that":[97],"performance":[100],"able":[105],"applied":[108],"vehicles":[111],"with":[112],"improved":[113],"success.":[114]},"counts_by_year":[{"year":2025,"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":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
