Abstract
This paper focuses on the localization problem that is to design and deploy an active beacon system specifically for the target environment. Most problems in the localization are due to uncertainties in the modeling and sensors. Therefore, various filters are developed to estimate the states in noisy information. Recently, particle filter is issued widely because it can be applied to a nonlinear model and a non-Gaussian noise. In this paper, a fuzzy adaptive particle filter is proposed for a positioning beacon system. The basic idea is to generate samples at the high-likelihood using a fuzzy logic approach. The method brings out the improvement of an accuracy of estimation. In addition, this paper presents the localization method for a mobile robot with active ultrasonic beacon systems. For comparison purposes, we test a conventional adaptive particle filter method and our proposed method. Experimental results show that the proposed method can improve the localization performance.
| Original language | English |
|---|---|
| Title of host publication | ICCAS 2007 - International Conference on Control, Automation and Systems |
| Pages | 1198-1202 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 2007 Dec 1 |
| Event | International Conference on Control, Automation and Systems, ICCAS 2007 - Seoul, Korea, Republic of Duration: 2007 Oct 17 → 2007 Oct 20 |
Other
| Other | International Conference on Control, Automation and Systems, ICCAS 2007 |
|---|---|
| Country | Korea, Republic of |
| City | Seoul |
| Period | 07/10/17 → 07/10/20 |
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Keywords
- Active ultrasonic beacon
- Adaptive particle filter
- Fuzzy logic
- Positioning beacon system
ASJC Scopus subject areas
- Control and Systems Engineering
- Electrical and Electronic Engineering
Cite this
Fuzzy adaptive particle filter for a positioning beacon system. / Kim, Young Joong; Won, Chan Hee; Park, Jung Min; Hong, Daehie; Lim, Myo Taeg.
ICCAS 2007 - International Conference on Control, Automation and Systems. 2007. p. 1198-1202 4406516.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Fuzzy adaptive particle filter for a positioning beacon system
AU - Kim, Young Joong
AU - Won, Chan Hee
AU - Park, Jung Min
AU - Hong, Daehie
AU - Lim, Myo Taeg
PY - 2007/12/1
Y1 - 2007/12/1
N2 - This paper focuses on the localization problem that is to design and deploy an active beacon system specifically for the target environment. Most problems in the localization are due to uncertainties in the modeling and sensors. Therefore, various filters are developed to estimate the states in noisy information. Recently, particle filter is issued widely because it can be applied to a nonlinear model and a non-Gaussian noise. In this paper, a fuzzy adaptive particle filter is proposed for a positioning beacon system. The basic idea is to generate samples at the high-likelihood using a fuzzy logic approach. The method brings out the improvement of an accuracy of estimation. In addition, this paper presents the localization method for a mobile robot with active ultrasonic beacon systems. For comparison purposes, we test a conventional adaptive particle filter method and our proposed method. Experimental results show that the proposed method can improve the localization performance.
AB - This paper focuses on the localization problem that is to design and deploy an active beacon system specifically for the target environment. Most problems in the localization are due to uncertainties in the modeling and sensors. Therefore, various filters are developed to estimate the states in noisy information. Recently, particle filter is issued widely because it can be applied to a nonlinear model and a non-Gaussian noise. In this paper, a fuzzy adaptive particle filter is proposed for a positioning beacon system. The basic idea is to generate samples at the high-likelihood using a fuzzy logic approach. The method brings out the improvement of an accuracy of estimation. In addition, this paper presents the localization method for a mobile robot with active ultrasonic beacon systems. For comparison purposes, we test a conventional adaptive particle filter method and our proposed method. Experimental results show that the proposed method can improve the localization performance.
KW - Active ultrasonic beacon
KW - Adaptive particle filter
KW - Fuzzy logic
KW - Positioning beacon system
UR - http://www.scopus.com/inward/record.url?scp=48349114848&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=48349114848&partnerID=8YFLogxK
U2 - 10.1109/ICCAS.2007.4406516
DO - 10.1109/ICCAS.2007.4406516
M3 - Conference contribution
AN - SCOPUS:48349114848
SN - 8995003871
SN - 9788995003879
SP - 1198
EP - 1202
BT - ICCAS 2007 - International Conference on Control, Automation and Systems
ER -