International Journal of Emerging Trends & Technology in Computer Science
A Motivation for Recent Innovation & Research
ISSN 2278-6856
www.ijettcs.org

Call for Paper, Published Articles, Indexing Infromation Development of MBP for AVR Based Controlled Autonomous Vehicle, Authors : Ms.D.S.Nikam, Dr.S.T.Gandhe , Ms.J.N.Phasale, International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), www.ijettcs.org
Volume & Issue no: Volume 3, Issue 6, November - December 2014

Title:
Development of MBP for AVR Based Controlled Autonomous Vehicle
Author Name:
Ms.D.S.Nikam, Dr.S.T.Gandhe , Ms.J.N.Phasale
Abstract:
Abstract Nowadays application of autonomous vehicle increases .An Autonomous vehicle is an artificially intelligent vehicle capable of traveling in unknown and unstructured environments independently. This paper proposes, design of a low cost autonomous vehicle based on backpropagation algorithm of neural network controlled by AVR for navigation in unknown environments. The neural network running inside the AVR is a multilayer feed-forward network. The advantage of using neural approach over the conventional inverse kinematic algorithms is that ANNs can avoid time consuming calculations. Furthermore, in a manner typical of ANNs, it would be very easy to modify the learned associations upon changes in the structure of robot manipulators. With reference to the control paradigm, ANNs have the ability to approximate arbitrary nonlinear functions which is an essential requirement in the design of controllers for nonlinear dynamic systems. Because of their learning and adaptive features, ANNs can be trained to adaptively control various nonlinear systems. For training neural network MBP is used. Multiple Back propagation is a free software application for training neural network with back propagation & multiple back propagation algorithm. It is easy to use and most important feature is that generate C code for the trained network. This code is compatible with ardiuno uno so it easily burned onto ATMEGA 328. In this paper we describe thoroughly software and hardware part and conclude the result from simulation graph. The hardware of vehicle is equipped with three ultrasonic sensors for hurdle distance measurement, all interfaced to a low cost ATMEGA 328 microcontroller. The microcontroller processes the information acquired from the sensors and generates robot motion commands accordingly through neural network. Keywords:- Autonomous vehicle, Multilayer Feed forward neural network, Back propagation algorithm, MBP, ultrasonic sensor, At Mega 328
Cite this article:
Ms.D.S.Nikam, Dr.S.T.Gandhe , Ms.J.N.Phasale , " Development of MBP for AVR Based Controlled Autonomous Vehicle " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), Volume 3, Issue 6, November - December 2014 , pp. 162-166 , ISSN 2278-6856.
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