{"id":"https://openalex.org/W2996890227","doi":"https://doi.org/10.1109/ictc46691.2019.8939564","title":"Real-time UAV Detection based on Deep Learning Network","display_name":"Real-time UAV Detection based on Deep Learning Network","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2996890227","doi":"https://doi.org/10.1109/ictc46691.2019.8939564","mag":"2996890227"},"language":"en","primary_location":{"id":"doi:10.1109/ictc46691.2019.8939564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc46691.2019.8939564","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Information and Communication Technology Convergence (ICTC)","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/A5078865165","display_name":"Syed Ali Hassan","orcid":"https://orcid.org/0000-0002-8572-7377"},"institutions":[{"id":"https://openalex.org/I113409471","display_name":"Kumoh National Institute of Technology","ror":"https://ror.org/05dkjfz60","country_code":"KR","type":"education","lineage":["https://openalex.org/I113409471"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Syed Ali Hassan","raw_affiliation_strings":["Dept. of IT Convergence Engineering, Kumoh National Institute of Technology, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of IT Convergence Engineering, Kumoh National Institute of Technology, South Korea","institution_ids":["https://openalex.org/I113409471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017114142","display_name":"Tariq Rahim","orcid":"https://orcid.org/0000-0001-7817-9715"},"institutions":[{"id":"https://openalex.org/I113409471","display_name":"Kumoh National Institute of Technology","ror":"https://ror.org/05dkjfz60","country_code":"KR","type":"education","lineage":["https://openalex.org/I113409471"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Tariq Rahim","raw_affiliation_strings":["Dept. of IT Convergence Engineering, Kumoh National Institute of Technology, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of IT Convergence Engineering, Kumoh National Institute of Technology, South Korea","institution_ids":["https://openalex.org/I113409471"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101769002","display_name":"Soo Young Shin","orcid":"https://orcid.org/0000-0002-2526-2395"},"institutions":[{"id":"https://openalex.org/I113409471","display_name":"Kumoh National Institute of Technology","ror":"https://ror.org/05dkjfz60","country_code":"KR","type":"education","lineage":["https://openalex.org/I113409471"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Soo Young Shin","raw_affiliation_strings":["Dept. of IT Convergence Engineering, Kumoh National Institute of Technology, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of IT Convergence Engineering, Kumoh National Institute of Technology, South Korea","institution_ids":["https://openalex.org/I113409471"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5078865165"],"corresponding_institution_ids":["https://openalex.org/I113409471"],"apc_list":null,"apc_paid":null,"fwci":2.7555,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.92716901,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"630","last_page":"632"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9998999834060669,"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":0.9995999932289124,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9994999766349792,"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":0.790533185005188},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7811379432678223},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6968686580657959},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6665942668914795},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6569888591766357},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6509324312210083},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5994684100151062},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5616518259048462},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3737354278564453},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.37099042534828186},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3404010534286499},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.23317357897758484},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09980425238609314},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09156966209411621},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07418256998062134}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.790533185005188},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7811379432678223},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6968686580657959},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6665942668914795},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6569888591766357},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6509324312210083},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5994684100151062},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5616518259048462},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3737354278564453},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.37099042534828186},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3404010534286499},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.23317357897758484},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09980425238609314},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09156966209411621},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07418256998062134},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ictc46691.2019.8939564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc46691.2019.8939564","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/1aa9e330-38f5-46ec-8f5a-ddd4ccd197ee","is_oa":false,"landing_page_url":"https://pure.au.dk/portal/en/publications/1aa9e330-38f5-46ec-8f5a-ddd4ccd197ee","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Hassan, S A, Rahim, T & Shin, S Y 2019, Real-time UAV Detection based on Deep Learning Network. in ICTC 2019 - 10th International Conference on ICT Convergence : ICT Convergence Leading the Autonomous Future., 8939564, Institute of Electrical and Electronics Engineers Inc., ICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future, pp. 630-632, 10th International Conference on Information and Communication Technology Convergence, ICTC 2019, Jeju Island, Korea, Republic of, 16/10/2019. https://doi.org/10.1109/ICTC46691.2019.8939564","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:eprints.kingston.ac.uk:54761","is_oa":false,"landing_page_url":"https://eprints.kingston.ac.uk/id/eprint/54761/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400991","display_name":"Research Repository (Kingston University London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801636071","host_organization_name":"Kingston Hospital NHS Trust","host_organization_lineage":["https://openalex.org/I2801636071"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2120781804","https://openalex.org/W2194775991","https://openalex.org/W2476548250","https://openalex.org/W2796347433","https://openalex.org/W2808139877","https://openalex.org/W2912561737","https://openalex.org/W4293584584","https://openalex.org/W6750227808"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4287991909","https://openalex.org/W4390721878","https://openalex.org/W2949096641","https://openalex.org/W2970686063","https://openalex.org/W4320729701","https://openalex.org/W3034745255","https://openalex.org/W4254103348","https://openalex.org/W3114272811"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"deep":[3],"learning-based":[4],"YOLO":[5],"(You":[6],"only":[7],"look":[8],"once),":[9],"for":[10,71],"the":[11,22,51,66,72,79,94],"detection":[12,75],"of":[13,24,59,81,86],"an":[14,29,55],"unmanned":[15],"aerial":[16],"vehicle":[17],"(UAV).":[18],"In":[19],"common":[20],"practice,":[21],"creation":[23,54],"own":[25,67],"data":[26,52,69,97],"set":[27,53,70,98],"is":[28,63,101],"extensive":[30],"and":[31,61,76,91,107],"hectic":[32],"task,":[33],"that":[34],"takes":[35],"a":[36],"long":[37],"time":[38],"because":[39],"it":[40],"requires":[41],"proper":[42],"resolution":[43],"images":[44],"from":[45],"different":[46],"angles.":[47],"These":[48],"issues":[49],"make":[50],"important":[56],"task.":[57],"Implementation":[58],"YOLOv2":[60,103],"YOLOv3":[62,100],"done":[64],"on":[65],"created":[68,96],"real-time":[73],"UAV's":[74],"to":[77],"benchmark":[78],"performance":[80],"both":[82,104],"models":[83],"in":[84,105],"terms":[85],"mean":[87],"average":[88],"precision":[89],"(MAP)":[90],"accuracy.":[92,108],"For":[93],"specifically":[95],"made,":[99],"outperforming":[102],"MAP":[106]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-29T09:16:38.111599","created_date":"2025-10-10T00:00:00"}
