A directionally selective collision-sensing visual neural network based on fractional-order differential operator

HIGHLIGHTS

• who: Yusi Wang from the Darmstadt University of Technology, Germany have published the research work: A directionally selective collision-sensing visual neural network based on fractional-order differential operator, in the Journal: (JOURNAL)
• what: In this paper, a directionally selective fractional-order LGMD collision-sensing visual neural_network, called DFLGMD, is proposed. The authors develop a new DFLGMD collision-sensing visual neural_network and provide a unified and rigorous mathematical description. The experiments include three experimental scenes, simulated scenarios, real-world scenarios, and real complex scenarios. In the experiment, the authors compared the neural_network proposed in this . . .
  

   

  

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