Presentation 1998/3/20
Position Estimation and Navigation Based on Scene Data
Shinya Kawashima, Masumi Ishikawa,
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Abstract(in English) This paper proposes a position estimation method by neural network. This is done by treating outputs of neural network, trained with high-order local autocorrelations computed from image, as probability. We apply it to navigation of indoor robot. To decrease estimation error more, we use Bayesian analysis for navigation.
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Keyword(in English) mobile robot / position estimation / navigation / neural network / local autocorrelation / Bayesian estimation
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Committee NC
Conference Date 1998/3/20(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Position Estimation and Navigation Based on Scene Data
Sub Title (in English)
Keyword(1) mobile robot
Keyword(2) position estimation
Keyword(3) navigation
Keyword(4) neural network
Keyword(5) local autocorrelation
Keyword(6) Bayesian estimation
1st Author's Name Shinya Kawashima
1st Author's Affiliation Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology()
2nd Author's Name Masumi Ishikawa
2nd Author's Affiliation Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology
Date 1998/3/20
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Volume (vol) vol.97
Number (no) 624
Page pp.pp.-
#Pages 8
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