电子科技学刊2024,Vol.22Issue(2):48-68,21.DOI:10.1016/j.jnlest.2024.100248
Machine learning algorithm partially reconfigured on FPGA for an image edge detection system
Machine learning algorithm partially reconfigured on FPGA for an image edge detection system
摘要
关键词
Dynamic partial reconfiguration(DPR)/Field programmable gate array(FPGA)implementation/Image edge detection/Support vector regression(SVR)/Unmanned aerial vehicle(UAV)pose estimationKey words
Dynamic partial reconfiguration(DPR)/Field programmable gate array(FPGA)implementation/Image edge detection/Support vector regression(SVR)/Unmanned aerial vehicle(UAV)pose estimation引用本文复制引用
Gracieth Cavalcanti Batista,Johnny Öberg,Osamu Saotome,Haroldo F.de Campos Velho,Elcio Hideiti Shiguemori,Ingemar Söderquist..Machine learning algorithm partially reconfigured on FPGA for an image edge detection system[J].电子科技学刊,2024,22(2):48-68,21.基金项目
This work was financially supported by the National Council for Scientific and Technological Development(CNPq,Brazil),Swedish-Brazilian Research and Innovation Centre(CISB),and Saab AB under Grant No.CNPq:200053/2022-1 (CNPq,Brazil)
the National Council for Scientific and Technological Development(CNPq,Brazil)under Grants No.CNPq:312924/2017-8 and No.CNPq:314660/2020-8. (CNPq,Brazil)