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基于位置细胞与网格细胞信息融合的类脑导航方法

刘晨 熊智 华冰 张玲 杨闯 邹伟全

中国空间科学技术(中英文)2025,Vol.45Issue(1):113-123,11.
中国空间科学技术(中英文)2025,Vol.45Issue(1):113-123,11.DOI:10.16708/j.cnki.1000-758X.2025.0011

基于位置细胞与网格细胞信息融合的类脑导航方法

Brain-inspired navigation method based on place cell and grid cell information fusion

刘晨 1熊智 2华冰 3张玲 1杨闯 1邹伟全1

作者信息

  • 1. 南京航空航天大学 自动化学院,南京 211106
  • 2. 南京航空航天大学 自动化学院,南京 211106||先进飞行器导航、控制与健康管理工业和信息化部重点实验室,南京 211106
  • 3. 南京航空航天大学 航天学院,南京 211106
  • 折叠

摘要

Abstract

Mammals have the ability to sense exogenous information and self-motion information according to the navigation cells in the brain for self-positioning and navigation,which provides a good biological model for the development of intelligent and adaptive UAV(unmanned aerial vehicle)navigation methods.In this paper,we study the neural mechanism of key navigation cells and the information fusion modelling method,and propose a brain-inspired navigation method based on place cell and grid cell information fusion to address the problems of low real-time loop detection and sparse detection points in the traditional vision-based brain-inspired cognitive map construction method.Firstly,we use continuous attractor neural network and isotropic Gaussian network to model grid cell and position cell respectively,and achieve path integration and position measurement,based on which we propose grid cell zeroing algorithm to improve the efficiency of grid cell wide range calculation.Secondly,the connection weight matrix of the two cell networks is obtained by Hebb-learning rule,which realises the real-time correction process of the position cell to the grid cell path integral.Finally,the 3D position of the UAV is obtained based on the neuron population vector weighted average as well as the grid cell vertex position processing decoding method.The experimental results show that the method proposed in this paper can accurately decode the three-dimensional position of the UAV in a wide range of space,which improves the accuracy compared with the traditional navigation and positioning algorithms,and further expands the application scope of the three-dimensional brain-inspired navigation method for UAVs.

关键词

类脑导航/位置细胞/网格细胞/赫布学习/吸引子神经网络

Key words

brain-inspired navigation/place cell/grid cell/hebb learning/attractor neural network

分类

航空航天

引用本文复制引用

刘晨,熊智,华冰,张玲,杨闯,邹伟全..基于位置细胞与网格细胞信息融合的类脑导航方法[J].中国空间科学技术(中英文),2025,45(1):113-123,11.

基金项目

国家自然科学基金项目(61873125) (61873125)

航空科学基金(ASFC-2020Z071052001,202055052003) (ASFC-2020Z071052001,202055052003)

民用航天预研项目(D030313) (D030313)

中国空间科学技术(中英文)

OA北大核心

1000-758X

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