基于网格细胞到位置细胞转换的位置估计模型

周阳; 吴德伟

doi:10.11999/JEIT161284

基于网格细胞到位置细胞转换的位置估计模型

doi: 10.11999/JEIT161284

周阳¹,
吴德伟¹

基金项目:

国家自然科学基金(61273048, 61603409)

计量
- 文章访问数: 1201
- HTML全文浏览量: 232
- PDF下载量: 263
- 被引次数: 0
出版历程
- 收稿日期: 2016-11-25
- 修回日期: 2017-03-17
- 刊出日期: 2017-09-19

Location Estimation Model Based on the Transformation from Grid Cells to Place Cells

ZHOU Yang¹,
WU Dewei¹

Funds:

The National Natural Science Foundation of China (61273048, 61603409)

摘要

摘要: 为实现运行体智能自主定位，该文提出一种基于网格细胞到位置细胞转换的位置估计模型。结合网格细胞和位置细胞的放电机理以及它们之间的信息转换关系，将位置估计模型分为空间环境学习与记忆、运动状态感知和位置估计3部分，给出了各个部分实现原理和具体操作步骤，最后利用提出的模型对运行体定位问题进行了仿真实验。结果表明，所提模型能实现运行体自主定位，且定位性能可通过改变模型中网格细胞和位置细胞参数进行调整。
- 仿生导航 /
- 位置估计 /
- 网格细胞 /
- 位置细胞 /
- 径向基函数神经网络
Abstract: To achieve intelligent and autonomous positioning for the vehicle, this paper presents a location estimation model based on the transformation from grid cells to place cells. Combining with the firing characteristic of the grid cells, place cells, and the information transformation between them, this location estimation model is divided into three parts, including the learning and memorizing of spatial environment, the perception of the motion state and the estimation of the spatial location. The principle and the specific steps of each part are discussed. Finally, the proposed model is applied to vehicles positioning by simulation. Simulation validates that the proposed model is feasible to achieve vehicles autonomous positioning, and the positioning performance can be adjusted by changing the parameters of grid cells and place cells included in the model.
- Bionic navigation /
- Location estimation /
- Grid cells /
- Place cells /
- Radial basis function neural network

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参考文献(18)

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