Automated car braking system: Using neural network system via Labview environment

M. A. Abu, Z. Kornain, I. M. Iqbal, M. H. Rosli
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引用次数: 6

Abstract

This paper represents the development of a car braking system based on artificial neural network for use during parking. This project involves replacing the usual car reverse warning system with a system that will react automatically based on the distance between the car and a given obstacle by gradually increasing the braking pressure until such a point that is deemed the closest safe distance to the obstacle, in which the braking pressure will then be increased to max and the car will halt. To realize this application, this project will make use of LabView simulation software to create the artificial neural network engine and present the simulation results.
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汽车自动制动系统:利用Labview环境下的神经网络系统
本文介绍了一种基于人工神经网络的汽车驻车制动系统的研制。这个项目包括用一个系统来取代通常的汽车倒车警告系统,该系统将根据汽车与给定障碍物之间的距离自动做出反应,逐步增加制动压力,直到距离障碍物最近的安全距离,此时制动压力将增加到最大值,汽车将停止。为了实现这一应用,本课题将利用LabView仿真软件创建人工神经网络引擎并给出仿真结果。
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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