{"id":"https://openalex.org/W2926123684","doi":"https://doi.org/10.1109/bigcomp.2019.8679168","title":"Roadway Image Preprocessing for Deep Learning-Based Driving Scene Understanding","display_name":"Roadway Image Preprocessing for Deep Learning-Based Driving Scene Understanding","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W2926123684","doi":"https://doi.org/10.1109/bigcomp.2019.8679168","mag":"2926123684"},"language":"en","primary_location":{"id":"doi:10.1109/bigcomp.2019.8679168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigcomp.2019.8679168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data and Smart Computing (BigComp)","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/A5045016280","display_name":"Kyeong-Sik Park","orcid":null},"institutions":[{"id":"https://openalex.org/I24062138","display_name":"Konkuk University","ror":"https://ror.org/025h1m602","country_code":"KR","type":"education","lineage":["https://openalex.org/I24062138"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Kyeong-Sik Park","raw_affiliation_strings":["Computer Science & Engineering, Konkuk University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Computer Science & Engineering, Konkuk University, Seoul, Korea","institution_ids":["https://openalex.org/I24062138"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035476526","display_name":"Sung-Su Jang","orcid":"https://orcid.org/0000-0003-0498-0934"},"institutions":[{"id":"https://openalex.org/I24062138","display_name":"Konkuk University","ror":"https://ror.org/025h1m602","country_code":"KR","type":"education","lineage":["https://openalex.org/I24062138"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sung-Su Jang","raw_affiliation_strings":["Computer Science & Engineering, Konkuk University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Computer Science & Engineering, Konkuk University, Seoul, Korea","institution_ids":["https://openalex.org/I24062138"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076862457","display_name":"Hyeok-June Jeong","orcid":null},"institutions":[{"id":"https://openalex.org/I24062138","display_name":"Konkuk University","ror":"https://ror.org/025h1m602","country_code":"KR","type":"education","lineage":["https://openalex.org/I24062138"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyeok-June Jeong","raw_affiliation_strings":["Computer Science & Engineering, Konkuk University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Computer Science & Engineering, Konkuk University, Seoul, Korea","institution_ids":["https://openalex.org/I24062138"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027874948","display_name":"Young-Guk Ha","orcid":"https://orcid.org/0000-0002-1336-9216"},"institutions":[{"id":"https://openalex.org/I24062138","display_name":"Konkuk University","ror":"https://ror.org/025h1m602","country_code":"KR","type":"education","lineage":["https://openalex.org/I24062138"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young-Guk Ha","raw_affiliation_strings":["Computer Science & Engineering, Konkuk University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Computer Science & Engineering, Konkuk University, Seoul, Korea","institution_ids":["https://openalex.org/I24062138"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5045016280"],"corresponding_institution_ids":["https://openalex.org/I24062138"],"apc_list":null,"apc_paid":null,"fwci":0.5061,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.67986583,"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":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9983000159263611,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9944999814033508,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.7753037214279175},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7420321702957153},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.72133469581604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.713184118270874},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7061953544616699},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4713808000087738},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46636685729026794},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11506745219230652}],"concepts":[{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.7753037214279175},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7420321702957153},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.72133469581604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.713184118270874},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7061953544616699},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4713808000087738},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46636685729026794},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11506745219230652},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigcomp.2019.8679168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigcomp.2019.8679168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data and Smart Computing (BigComp)","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":4,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2732011728","https://openalex.org/W2963037989","https://openalex.org/W6740453532"],"related_works":["https://openalex.org/W2117850747","https://openalex.org/W3133397321","https://openalex.org/W2013672622","https://openalex.org/W2008797281","https://openalex.org/W1924429709","https://openalex.org/W576831428","https://openalex.org/W1998241363","https://openalex.org/W2100981983","https://openalex.org/W1973165762","https://openalex.org/W2052495723","https://openalex.org/W1980506475","https://openalex.org/W2130309343","https://openalex.org/W1894837074","https://openalex.org/W2041337303","https://openalex.org/W1982154746","https://openalex.org/W137416770","https://openalex.org/W2159021686","https://openalex.org/W2081303520","https://openalex.org/W2106337294","https://openalex.org/W2206848375"],"abstract_inverted_index":{"In":[0,48],"this":[1],"paper,":[2],"a":[3,9,13,32,52,61,84,93],"road":[4,14,44,75,100],"lane":[5],"is":[6],"detected":[7,29],"as":[8,60,92],"reference":[10,33,81],"point":[11],"in":[12],"driving":[15,26,45,76,101],"image,":[16],"and":[17,35],"the":[18,25,37,43,67,86,96,99,105],"objects":[19,39,70],"that":[20],"are":[21,28,40],"likely":[22],"to":[23,56,64],"affect":[24],"situation":[27,46,102],"depending":[30],"on":[31,73,79,98],"point,":[34],"then":[36],"remaining":[38],"excluded":[41],"from":[42],"recognition.":[47],"addition,":[49],"we":[50],"propose":[51],"method":[53,63],"of":[54,69,88,95],"mapping":[55],"Bird's":[57],"Eye":[58],"View":[59],"normalization":[62],"uniformly":[65],"express":[66],"positions":[68],"irregularly":[71],"appearing":[72],"each":[74],"image":[77],"based":[78],"these":[80],"points.":[82],"As":[83],"result,":[85],"accuracy":[87],"97.66%":[89],"was":[90],"obtained":[91],"result":[94],"experiment":[97],"recognition":[103],"by":[104],"proposed":[106],"method.":[107]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
