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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
ME |
2019-02-09 13:45 |
Kanagawa |
Kanto Gakuin University |
Autonomous mobile robot which plans its path with interpreting the meanings among the spaces formed by multiple people and objects Xianhui Bu, Tomoaki Nakamura, Masahide Kaneko (UEC) |
(To be available after the conference date) [more] |
ME2019-18 pp.59-62 |
ME |
2018-02-24 14:30 |
Kanagawa |
Kanto Gakuin Univ. |
Dynamic Path Planning for Autonomous Mobile Robot with Spatiotemporal RRT Using Limited Local Information under Crowded Condition Kazuki Nakamura, Tomoaki Nakamura, Masahide Kaneko (UEC) |
A robot that can work with humans under the daily lives environment should have the function of autonomous movement. Thi... [more] |
ME2018-67 pp.89-92 |
ME |
2016-02-20 13:00 |
Kanagawa |
Kanto Gakuin Univ. |
Path planning for autonomous mobile robot using spatiotemporal RRT considering ambiguity in motion of dynamic obstacles Tsubasa Kurosaka, Tomoaki Nakamura, Masahide Kaneko (UEC) |
In this paper, we proposed a novel path planning and speed control method for autonomous mobile robot under dynamic envi... [more] |
ME2016-13 pp.49-52 |
IEICE-BioX, ME, IST [detail] |
2015-06-29 15:45 |
Tokyo |
Kanazawa University, Kakuma Campus |
PatchMatch-based Disparity Estimation in Stereo Videos with Spatio-temporal Slanted Windows Hiroki Nakano, Daisuke Sugimura, Takayuki Hamamoto (TUS) |
In this paper, we propose a novel disparity estimation method using stereo videos. Previous studies estimate the dispari... [more] |
IST2015-39 ME2015-74 pp.53-58 |
IEICE-ITS, IEICE-IE, AIT, HI, ME [detail] |
2011-02-21 - 2011-02-22 |
Hokkaido |
Hokkaido University |
Bicycle Detection Using Pedaling Movement by Spatiotemporal Gabor Filtering Kazuyuki Takahashi, Yasutaka Kuriya, Takashi Morie (Kyutech) |
To asist a safety driving, it is important to detect objects such as cars, pedestrians and bikes. Although high accuracy... [more] |
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