iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: https://api.openalex.org/works/doi:10.1145/3532213.3532284
{"id":"https://openalex.org/W4285104165","doi":"https://doi.org/10.1145/3532213.3532284","title":"A Real-time UAV Object Detection System Design with FPGA Implementation","display_name":"A Real-time UAV Object Detection System Design with FPGA Implementation","publication_year":2022,"publication_date":"2022-03-18","ids":{"openalex":"https://openalex.org/W4285104165","doi":"https://doi.org/10.1145/3532213.3532284"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3532213.3532284","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5051037449","display_name":"Junyu Tang","orcid":"https://orcid.org/0000-0001-6501-468X"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyu Tang","raw_affiliation_strings":["Beijing University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037708146","display_name":"Xin Zheng","orcid":"https://orcid.org/0000-0001-7889-986X"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Zheng","raw_affiliation_strings":["Beijing University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003423239","display_name":"Qiang Wu","orcid":"https://orcid.org/0000-0001-9339-0762"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Wu","raw_affiliation_strings":["Beijing University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041701271","display_name":"Jinling Cui","orcid":"https://orcid.org/0000-0002-7867-0077"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinling Cui","raw_affiliation_strings":["Beijing University of Technology, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.161,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.369119,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":60,"max":71},"biblio":{"volume":null,"issue":null,"first_page":"472","last_page":"477"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9986,"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":0.9986,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9981,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.995,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.8337003},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7954828},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.63449645},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.63101804},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.49982834},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4686422},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4662183},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4652691},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.46515188},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.45431635},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37540323},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.338202},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.33182853},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.18024063},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3532213.3532284","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.72,"display_name":"Affordable and clean energy"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":6,"referenced_works":["https://openalex.org/W2994794043","https://openalex.org/W3035344055","https://openalex.org/W3065678162","https://openalex.org/W3138117802","https://openalex.org/W3214938658","https://openalex.org/W4389347538"],"related_works":["https://openalex.org/W4225949190","https://openalex.org/W4200391368","https://openalex.org/W2969228573","https://openalex.org/W2963690996","https://openalex.org/W2366961778","https://openalex.org/W2355315220","https://openalex.org/W2210979487","https://openalex.org/W2111241003","https://openalex.org/W2074043759","https://openalex.org/W1572721274"],"abstract_inverted_index":{"This":[0],"paper":[1,34],"proposes":[2],"Target":[3],"detection":[4,21,70],"system":[5,61],"design":[6,105],"and":[7,29,51],"FPGA":[8],"implementation":[9],"based":[10],"on":[11,98],"YOLOX":[12,39],"algorithm,":[13],"in":[14,22],"order":[15],"to":[16,47,64],"realize":[17],"offline":[18],"real-time":[19,108],"image":[20],"a":[23],"UAV":[24],"platform":[25],"with":[26],"limited":[27],"resources":[28],"power":[30],"consumption.":[31],"First,":[32],"this":[33,48,76],"studied":[35],"the":[36,53,68,73,78,84,92,99,104],"algorithm":[37],"of":[38,107],"convolutional":[40],"neural":[41,54],"network,image":[42],"fusion":[43],"mechanism":[44],"is":[45,62,81,96],"added":[46],"network,":[49],"designed":[50,63],"trained":[52],"network.":[55],"Secondly,":[56],"an":[57],"embedded":[58],"edge":[59],"computing":[60],"further":[65],"speed":[66,71,95],"up":[67],"target":[69],"at":[72,83],"hardware":[74],"level.In":[75],"paper,":[77],"above":[79],"scheme":[80],"implemented":[82],"board":[85],"level.":[86],"The":[87],"test":[88],"results":[89],"show":[90],"that":[91],"average":[93],"recognition":[94],"50frame/s":[97],"system,":[100],"which":[101],"basically":[102],"achieves":[103],"goal":[106],"detection.":[109]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4285104165","counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2024-12-06T09:23:31.720849","created_date":"2022-07-14"}