An Ultrasonic Vision based on a Neural Network for Navigating Robots Through Obstacles

R. Kulikov, Natalya Masalkova, O. Glukhov, A. Chugunov, V. Semenov
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引用次数: 1

Abstract

The technologies used for robot navigation have their advantages and disadvantages. To improve the technology, specialists often turn to the biological world. In this article, we implemented machine vision based on ultrasound using a neural network, similar to the ultrasound vision of a bat. The ultrasound system consists of a software and hardware installation and an artificial neural network. The use of an artificial neural network increased the accuracy of positioning, as well as provided three-dimensional vision (in 3D). This article presents the learning outcomes of a fully connected neural network and the evaluation of learning outcomes.
基于神经网络的超声波视觉机器人障碍物导航
用于机器人导航的技术各有优缺点。为了改进这项技术,专家们经常求助于生物领域。在本文中,我们使用神经网络实现了基于超声波的机器视觉,类似于蝙蝠的超声波视觉。该超声系统由软硬件安装和人工神经网络组成。人工神经网络的使用提高了定位的准确性,并提供了三维视觉(3D)。本文介绍了全连接神经网络的学习结果和学习结果的评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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