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Reseach Article

Autonomous Decision Making for a Vehicle

by Isha, Mamtesh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 177 - Number 17
Year of Publication: 2019
Authors: Isha, Mamtesh
10.5120/ijca2019919581

Isha, Mamtesh . Autonomous Decision Making for a Vehicle. International Journal of Computer Applications. 177, 17 ( Nov 2019), 8-16. DOI=10.5120/ijca2019919581

@article{ 10.5120/ijca2019919581,
author = { Isha, Mamtesh },
title = { Autonomous Decision Making for a Vehicle },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2019 },
volume = { 177 },
number = { 17 },
month = { Nov },
year = { 2019 },
issn = { 0975-8887 },
pages = { 8-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume177/number17/30989-2019919581/ },
doi = { 10.5120/ijca2019919581 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:46:07.851777+05:30
%A Isha
%A Mamtesh
%T Autonomous Decision Making for a Vehicle
%J International Journal of Computer Applications
%@ 0975-8887
%V 177
%N 17
%P 8-16
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

It includes Deep Learning techniques using convolutional neural networks for getting the predictions and probabilities for the best decision that has to be made while driving a car like lane detection, traffic signals recognition and their localization and simultaneously developing a steering model to help to take decision regarding steering wheel, throttle thus stimulate a car like humans. In this paper, lane detection is the main concern is to move the steering in appropriate direction with proper angle and the problem is solved using convolutional neural networks via creating a model which then is trained over some collected training data of steering decisions on a track in a simulated environment.

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Index Terms

Computer Science
Information Sciences

Keywords

Autonomous Car Autonomous Vehicle Driverless Cars Deep Learning Convolutional Neural Network