Presentation 2002/3/11
A simulator for a mobile robot using a 3D model of the environment
Keiji Kamei, Masumi Ishikawa,
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Abstract(in English) We develop a simulator for a mobile robot with omni-directional images to accelerate building an environmental map and estimating its position in the study of robotics control. Virtual omni-directional images as sensor information are generated from a 3D model. An environmental map is based on the omni-directional images. A virtual mobile robot moves in the environment and its position is estimated by a Bayesian method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) simulator / mobile robot / omni-directional images / 3D model / self-organizing map / Bayesian estimation / local autocorrelation function
Paper # NC2001-145
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Conference Information
Committee NC
Conference Date 2002/3/11(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A simulator for a mobile robot using a 3D model of the environment
Sub Title (in English)
Keyword(1) simulator
Keyword(2) mobile robot
Keyword(3) omni-directional images
Keyword(4) 3D model
Keyword(5) self-organizing map
Keyword(6) Bayesian estimation
Keyword(7) local autocorrelation function
1st Author's Name Keiji Kamei
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 Graduate School of Life Science and Systems Engineering
Date 2002/3/11
Paper # NC2001-145
Volume (vol) vol.101
Number (no) 735
Page pp.pp.-
#Pages 8
Date of Issue