e-ISSN:0976-5166
p-ISSN:2231-3850


INDIAN JOURNAL OF COMPUTER SCIENCE AND ENGINEERING

Call for Papers 2020

Apr 2021 - Volume 12, Issue 2
Deadline: 15 Mar 2021
Publication: 20 Apr 2021

Jun 2021 - Volume 12, Issue 3
Deadline: 15 May 2021
Publication: 20 Jun 2021

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ABSTRACT

Title : CONTROL OF AN AUTONOMOUS VEHICLE WITH OBSTACLES IDENTIFICATION AND COLLISION AVOIDANCE USING MULTI VIEW CONVOLUTIONAL NEURAL NETWORK
Authors : M.Karthikeyan, S.Sathiamoorthy
Keywords : Autonomous Vehicle, Neural Networks, CNN, Machine Learning and Deep Learning, WMFA
Issue Date : Jan-Feb 2021
Abstract :
Artificial Intelligence (AI) is inevitable in this era for automation requirements in all large scale industries like Automotive, Aerospace, Railways, Industrial automation, and Renewable energy industries. Among the AI techniques, deep learning algorithm with artificial neural network (ANN) receives greater attention on estimation and control requirements. In this paper, control of autonomous passenger vehicle using deep multi view convolutional neural network (CNN) for the identification of obstacles with 3 dimensional (3D) images of the same using Winograd Minimal filter algorithm (WMFA) has been presented. Authors also have clearly articulated the accuracy level difference between Machine learning (ML) algorithm, basic CNN algorithm and the proposed CNN algorithm in this paper for obstacle identification, collision avoidance and steering control. Most importantly, training of neural networks with multi view topology using Matlab/Simulink coding has been presented with the results. Real-time 3D images have been captured and compared with the stored and trained data. Output of trained CNNs have been captured and the results have been compared and discussed in this paper.
Page(s) : 178-192
ISSN : 0976-5166
Source : Vol. 12, No.1
PDF : Download
DOI : 10.21817/indjcse/2021/v12i1/211201209