[jads] sep2022 #1.docx

HIGHLIGHTS

• who: Jie, Fang and Xiangping, Zhang from the Wuhan Qingchuan University, Wuhan, Hubei, China have published the research: [JADS] Sep2022 #1.docx, in the Journal: (JOURNAL)
• what: The authors design and implement an embedded image recognition system based on STM32 for the problem of limited storage space of embedded systems to run convolutional neural networks efficiently and for the loading of lightweight convolutional neural network and the hook-up requirement of the quadrotor. The aim of this design is to ensure that the features are translation invariant, which is very important in the field of . . .
  

   

  

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