Presentation 2011-02-18
An Estimation Method of Position from an Omnidirectional Image for a Two-leg Walking Robot
Toshihiko KANBARA, Yuuichirou NUMASAWA, Hidehiro SEKI,
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Abstract(in English) In the intelligent robotics field, many estimation methods of robot position and orientation have been proposed from images which are captured by a camera attached to the robot. Generally, it is difficult to estimate them from a monocular image. Espacially, it is too difficult to estimate range data. Thus, stereo vision methods or motion stereo methods are used for the range estimation in many papers. On the other hand, we try to estimate position of the robot from only a monocular ominidirectional image and orientational data of a gyro.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) an omnidirectional image / localization / two-leg walking robot
Paper # PRMU2010-224
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Conference Information
Committee PRMU
Conference Date 2011/2/10(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Estimation Method of Position from an Omnidirectional Image for a Two-leg Walking Robot
Sub Title (in English)
Keyword(1) an omnidirectional image
Keyword(2) localization
Keyword(3) two-leg walking robot
1st Author's Name Toshihiko KANBARA
1st Author's Affiliation Graduate school of Engineering, Hachinohe Institute of Technology()
2nd Author's Name Yuuichirou NUMASAWA
2nd Author's Affiliation Graduate school of Engineering, Hachinohe Institute of Technology
3rd Author's Name Hidehiro SEKI
3rd Author's Affiliation Graduate school of Engineering, Hachinohe Institute of Technology
Date 2011-02-18
Paper # PRMU2010-224
Volume (vol) vol.110
Number (no) 414
Page pp.pp.-
#Pages 6
Date of Issue