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,...
Main Author: | |
---|---|
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 |
id |
doaj-d6aed287197a454da860b8f9d8104e72 |
---|---|
record_format |
Article |
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 |
_version_ |
1724914690700607488 |