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ITS » Paper and Presentation » S1 Teknik Elektro
Posted by aprill@is.its.ac.id at 04/06/2015 17:53:21  •  869 Views


PERANCANGAN SISTEM NAVIGASI MENGGUNAKAN KAMERA PADA QUADCOPTER UNTUK ESTIMASI POSISI DENGAN METODE NEURAL NETWORK

CAMERA NAVIGATION SYSTEM DESIGN USING THE QUADCOPTER FOR POSITION ESTIMATION METHOD OF nNEURAL NETWORK

Author :
KHARISMAN, REDI ( 2211105018 )




ABSTRAK

Sistem navigasi banyak digunakan sebagai pengenal objek dalam radius tertentu penunjuk arah tujuan penunjuk posisi objek berada dan sebagainya. Adakalanya sistem navigasi juga memiliki noise atau ketidakakuratan informasi dalam implementasinya sehingga membuat interpretasi terhadap posisi objek menjadi berbeda-beda pula. Dengan menganggap quadcopter sebagai suatu objek terbang dengan warna dominan penentuan posisi dapat dilakukan proses pencitraan dengan prinsip Stereo Vision yang menggunakan dua buah kamera. Dengan kamera proses pencitraan dapat dilakukan dengan mengetahui setiap perubahan posisi objek melalui titik tengah objek dengan proses trackingnya. Namun kamera memiliki noise yang dapat menyebabkan perubahan data yang cukup sering dalam setiap cuplikan datanya. Metode Backpropagation Neural Network digunakan sebagai estimator yang ditujukan agar dapat mengikuti pola data sekaligus juga memberikan posisi yang lebih akurat dengan mengeliminasi noise yang terdapat dalam pola data yang terekam. Sehingga dengan menggunakan metode tersebut maka sebagian besar noise yang terjadi tereliminasi dan grafik pergerakan lebih tampak nyata.


ABSTRACT

The navigation system is widely used as object identifiers within a certain radius pointing towards the goal the object is the position indicator and so on . Sometimes the navigation system also has a noise or inaccurate information in its implementation so as to make the interpretation of the position of the object be different too. With regard quadcopter flying object as a dominant color positioning the imaging process can be carried out by the principle of Stereo Vision that uses two cameras. With the camera the imaging process can be aware of any changes made to the object through the midpoint position of the object with the trackingnya . However the camera has a noise that can cause data changes fairly often in each sample data. Backpropagation Neural Network method is used as an estimator that is intended to follow the pattern of the data as well as provide a more accurate position by eliminating noise contained in the data pattern that is recorded. Therefore by using these methods then most of the noise occurs and chart movements eliminated more apparent.



Keywordskamera; sistem navigasi; estimasi; Backpropagation Neural Network
 
Subject:  Otomatis sistem kendaraan dipandu; navigasi
Contributor
  1. Ir. Katjuk Astrowulan, MSEE.
  2. Ir.Rusdhianto Efendie A.K,MT
Date Create: 04/06/2015
Type: Text
Format: pdf
Language: Indonesian
Identifier: ITS-paper-22121150007442
Collection ID: 22121150007442
Call Number: RSE 629.045 Kha p


Source
Paper and Presentations, Electrical Engineering, RSE 629.045 Kha p, 2015

Coverage
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Copyright @2015 by ITS Library. This publication is protected by copyright and per obtained from the ITS Library prior to any prohibited reproduction, storage in a re transmission in any form or by any means, electronic, mechanical, photocopying, reco For information regarding permission(s), write to ITS Library




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  1.  ITS-paper-37734-2211105018-paper.pdf - 356 KB
  2.  ITS-paper-37734-2211105018-presentation.pdf - 4311 KB




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