An Analysis of -based Localization
Instead of using the well-known Kalman filter (H filter), filter which is also known as minimax filter, can be used to estimate robot location as part of can affects the filter performance, the variation of its selection are demonstrated to grasp the overview of the estimation performance. The an...
Saved in:
Main Authors: | , |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2014
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/9778/1/An%20Analysis%20of%20%CE%B3%20Effects%20to%20H%E2%88%9E%20Filter-based%20Localization.pdf http://umpir.ump.edu.my/id/eprint/9778/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.ump.umpir.9778 |
---|---|
record_format |
eprints |
spelling |
my.ump.umpir.97782018-02-05T06:57:59Z http://umpir.ump.edu.my/id/eprint/9778/ An Analysis of -based Localization Hamzah, Ahmad Nur Aqilah, Othman TK Electrical engineering. Electronics Nuclear engineering Instead of using the well-known Kalman filter (H filter), filter which is also known as minimax filter, can be used to estimate robot location as part of can affects the filter performance, the variation of its selection are demonstrated to grasp the overview of the estimation performance. The analysis is divided into two categories; non-moving mobile robot and moving robot for different values of comparison of the performance between filter and Kalman filter is included to differentiate the capabilities of both filters in the localization problem. Simulation results show that, filter exhibits better outcomes than the Kalman filter and thus provides another available methods for the solution of SLAM problem. 2014 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/9778/1/An%20Analysis%20of%20%CE%B3%20Effects%20to%20H%E2%88%9E%20Filter-based%20Localization.pdf Hamzah, Ahmad and Nur Aqilah, Othman (2014) An Analysis of -based Localization. In: Colloquium on Robotics, Unmanned Systems And Cybernetics 2014 (CRUSC 2014), 20 Nov 2014 , Universiti Malaysia Pahang. pp. 22-27.. (Unpublished) |
institution |
Universiti Malaysia Pahang |
building |
UMP Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Malaysia Pahang |
content_source |
UMP Institutional Repository |
url_provider |
http://umpir.ump.edu.my/ |
language |
English |
topic |
TK Electrical engineering. Electronics Nuclear engineering |
spellingShingle |
TK Electrical engineering. Electronics Nuclear engineering Hamzah, Ahmad Nur Aqilah, Othman An Analysis of -based Localization |
description |
Instead of using the well-known Kalman filter (H filter), filter which is also known as minimax filter, can be used to estimate robot location as part of can affects the filter performance, the variation of its selection are demonstrated to grasp the overview of the estimation performance. The analysis is divided into two categories; non-moving mobile robot and moving robot for different values of comparison of the performance between filter and Kalman filter is included to differentiate the capabilities of both filters in the localization problem. Simulation results show that, filter exhibits better outcomes than the Kalman filter and thus provides another available methods for the solution of SLAM problem. |
format |
Conference or Workshop Item |
author |
Hamzah, Ahmad Nur Aqilah, Othman |
author_facet |
Hamzah, Ahmad Nur Aqilah, Othman |
author_sort |
Hamzah, Ahmad |
title |
An Analysis of -based Localization |
title_short |
An Analysis of -based Localization |
title_full |
An Analysis of -based Localization |
title_fullStr |
An Analysis of -based Localization |
title_full_unstemmed |
An Analysis of -based Localization |
title_sort |
analysis of -based localization |
publishDate |
2014 |
url |
http://umpir.ump.edu.my/id/eprint/9778/1/An%20Analysis%20of%20%CE%B3%20Effects%20to%20H%E2%88%9E%20Filter-based%20Localization.pdf http://umpir.ump.edu.my/id/eprint/9778/ |
_version_ |
1643666219620892672 |
score |
13.211869 |