Pemodelan Dinamika Kendaraan dengan Jaringan Syaraf Tiruan

Creating autonomous vehicle that can drive without a driver is a dream of the researchers who see the application of such a system will be needed in the future. Realizing such a system requires a dynamic model of the vehicle. It may be obtained by analytical method using dynamic equations. However,...

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Main Author: Satrio Dewanto
Format: Article
Language:English
Published: Bina Nusantara University 2014-06-01
Series:ComTech
Subjects:
Online Access:https://journal.binus.ac.id/index.php/comtech/article/view/2588
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spelling doaj-d6aed287197a454da860b8f9d8104e722020-11-25T02:11:22ZengBina Nusantara UniversityComTech2087-12442476-907X2014-06-0151859010.21512/comtech.v5i1.25881988Pemodelan Dinamika Kendaraan dengan Jaringan Syaraf TiruanSatrio Dewanto0Bina Nusantara UniversityCreating autonomous vehicle that can drive without a driver is a dream of the researchers who see the application of such a system will be needed in the future. Realizing such a system requires a dynamic model of the vehicle. It may be obtained by analytical method using dynamic equations. However, this way is rather difficult to do, especially in modeling the non-linear factors caused by tires, suspension, road conditions, etc. This study, in order to avoid difficulties in the analytical method, used artificial neural networks to model the dynamic system of the autonomous vehicle. It utilized data input from the camera sensor and vehicle speed.https://journal.binus.ac.id/index.php/comtech/article/view/2588autonomous vehicle, artificial neural networks, feedforward neural networks, back propagation method
collection DOAJ
language English
format Article
sources DOAJ
author Satrio Dewanto
spellingShingle Satrio Dewanto
Pemodelan Dinamika Kendaraan dengan Jaringan Syaraf Tiruan
ComTech
autonomous vehicle, artificial neural networks, feedforward neural networks, back propagation method
author_facet Satrio Dewanto
author_sort Satrio Dewanto
title Pemodelan Dinamika Kendaraan dengan Jaringan Syaraf Tiruan
title_short Pemodelan Dinamika Kendaraan dengan Jaringan Syaraf Tiruan
title_full Pemodelan Dinamika Kendaraan dengan Jaringan Syaraf Tiruan
title_fullStr Pemodelan Dinamika Kendaraan dengan Jaringan Syaraf Tiruan
title_full_unstemmed Pemodelan Dinamika Kendaraan dengan Jaringan Syaraf Tiruan
title_sort pemodelan dinamika kendaraan dengan jaringan syaraf tiruan
publisher Bina Nusantara University
series ComTech
issn 2087-1244
2476-907X
publishDate 2014-06-01
description Creating autonomous vehicle that can drive without a driver is a dream of the researchers who see the application of such a system will be needed in the future. Realizing such a system requires a dynamic model of the vehicle. It may be obtained by analytical method using dynamic equations. However, this way is rather difficult to do, especially in modeling the non-linear factors caused by tires, suspension, road conditions, etc. This study, in order to avoid difficulties in the analytical method, used artificial neural networks to model the dynamic system of the autonomous vehicle. It utilized data input from the camera sensor and vehicle speed.
topic autonomous vehicle, artificial neural networks, feedforward neural networks, back propagation method
url https://journal.binus.ac.id/index.php/comtech/article/view/2588
work_keys_str_mv AT satriodewanto pemodelandinamikakendaraandenganjaringansyaraftiruan
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