Journal of Bionic Engineering ›› 2023, Vol. 20 ›› Issue (3): 1141-1152.doi: 10.1007/s42235-022-00310-0

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Bioinspired Polarized Skylight Orientation Determination Artificial Neural Network

Huaju Liang1,2; Hongyang Bai1; Ke Hu1,3 · Xinbo Lv4   

  1. 1 School of Energy and Power Engineering, Nanjing University of Science and Technology, Nanjing 210094, China  2 Neuromorphic Computing Laboratory, China Nanhu Academy of Electronics and Information Technology, Jiaxing 314001, China  3 Guidance Radar General Department, Xi’an Electronic Engineering Research Institute, Xi’an 710100, China  4 School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China
  • 出版日期:2023-05-10 发布日期:2023-05-10
  • 通讯作者: Hongyang Bai E-mail:hongyang@mail.njust.edu.cn
  • 作者简介:Huaju Liang1,2; Hongyang Bai1; Ke Hu1,3 · Xinbo Lv4

Bioinspired Polarized Skylight Orientation Determination Artificial Neural Network

Huaju Liang1,2; Hongyang Bai1; Ke Hu1,3 · Xinbo Lv4   

  1. 1 School of Energy and Power Engineering, Nanjing University of Science and Technology, Nanjing 210094, China  2 Neuromorphic Computing Laboratory, China Nanhu Academy of Electronics and Information Technology, Jiaxing 314001, China  3 Guidance Radar General Department, Xi’an Electronic Engineering Research Institute, Xi’an 710100, China  4 School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China
  • Online:2023-05-10 Published:2023-05-10
  • Contact: Hongyang Bai E-mail:hongyang@mail.njust.edu.cn
  • About author:Huaju Liang1,2; Hongyang Bai1; Ke Hu1,3 · Xinbo Lv4

摘要: This paper proposes an artificial neural network to determine orientation using polarized skylight. This neural network has specific dilated convolution, which can extract light intensity information of different polarization directions. Then, the degree of polarization (DOP) and angle of polarization (AOP) are directly extracted in the network. In addition, the exponential function encoding of orientation is designed as the network output, which can better reflect the insect’s encoding of polarization information and improve the accuracy of orientation determination. Finally, training and testing were conducted on a public polarized skylight navigation dataset, and the experimental results proved the stability and effectiveness of the network.

关键词: Polarized light navigation , · Orientation determination , · Artifcial neural network

Abstract: This paper proposes an artificial neural network to determine orientation using polarized skylight. This neural network has specific dilated convolution, which can extract light intensity information of different polarization directions. Then, the degree of polarization (DOP) and angle of polarization (AOP) are directly extracted in the network. In addition, the exponential function encoding of orientation is designed as the network output, which can better reflect the insect’s encoding of polarization information and improve the accuracy of orientation determination. Finally, training and testing were conducted on a public polarized skylight navigation dataset, and the experimental results proved the stability and effectiveness of the network.

Key words: Polarized light navigation , · Orientation determination , · Artifcial neural network