Bioinspired Polarized Skylight Orientation Determination Artificial Neural Network

作     者：Huaju Liang Hongyang Bai Ke Hu Xinbo Lv Huaju Liang;Hongyang Bai;Ke Hu;Xinbo Lv

作者机构：School of Energy and Power EngineeringNanjing University of Science and TechnologyNanjing210094China Neuromorphic Computing LaboratoryChina Nanhu Academy of Electronics and Information TechnologyJiaxing314001China Guidance Radar General DepartmentXi’an Electronic Engineering Research InstituteXi’an710100China School of AutomationNanjing University of Science and TechnologyNanjing210094China 

出 版 物：《Journal of Bionic Engineering》 (仿生工程学报（英文版）)

年 卷 期：2023年第20卷第3期

页      面：1141-1152页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0714[理学-统计学（可授理学、经济学学位）] 0835[工学-软件工程] 0701[理学-数学] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Funding was provided by the National Key Research and Development Program of China(Grant No.2021ZD0200300) National Natural Science Foundation of China(NSFC)(U2031138) 

主　　题：Polarized light navigation Orientation determination Artificial neural network 

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.