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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MVE, IMQ, IE, CQ (Joint) [detail] |
2021-03-03 09:20 |
Online | Online | Study of Environment Recognition and 3D Map Generation Using SegNet for Night Forest Monitoring Using an Environmental Monitoring Robot Takeo Kaneko (WASEDA Univ.), Junji Yamato (Kogakuin Univ.), Hiroyuki Ishii, Jun Ohya, Atuo Takanishi (WASEDA Univ.)  IMQ2020-29 IE2020-69 MVE2020-61 |
Towards the actualization of autonomous robots that monitor forests, around which various kinds of damages caused by wil... [more] | IMQ2020-29 IE2020-69 MVE2020-61 pp.91-96 |
| MVE, IMQ, IE, CQ (Joint) [detail] |
2021-03-03 09:45 |
Online | Online | A Study of Road Segmentation in Disaster Situations Using UAV Shinta Muto, Jun Ohya (Waseda Univ.) IMQ2020-30 IE2020-70 MVE2020-62 |
In this paper, we propose a system for segmenting road areas from aerial images using machine learning, assuming that fi... [more] | IMQ2020-30 IE2020-70 MVE2020-62 pp.97-102 |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-05 10:45 |
Fukuoka | Kyushu Institute of Technology (Cancelled but technical report was issued) |
Study of Recognizing the Sky by Applying Deep Learning to RGB Camera Images for Selecting the Method for Self-Localization of an Environmental Monitoring Robot
-- Selecting GNSS or Visual SLAM -- Taiki Suzuki, Takeo Kaneko, Takuya Hayashi, Junya Morimoto (Waseda Univ.), Junji Yamato (Kogakuin Univ.), Hiroyuki Ishii, Jun Ohya, Atsuo Takanishi (Waseda Univ.) IMQ2019-16 IE2019-98 MVE2019-37 |
(To be available after the conference date) [more] | IMQ2019-16 IE2019-98 MVE2019-37 pp.11-16 |
| PRMU | 2019-10-18 15:05 |
Tokyo | Study of Recognizing Road Surface Conditions using Deep Learning Applied for RGBD images Obtained from an Environmental Monitoring Robot
-- Comparative Studies of SegNet-Basic and ENet as well as Height and Surface Curvature Features -- Takuya Hayashi, Takeo Kaneko, Junya Morimoto (Waseda Univ.), Junji Yamato (Kogakuin Univ.), Hiroyuki Ishii, Jun Ohya, Atsuo Takanishi (Waseda Univ.) PRMU2019-39 |
An environmental monitoring robot that moves safely and autonomously needs a function to recognize the state of the grou... [more] | PRMU2019-39 pp.41-46 |
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| MVE | 2019-10-10 14:50 |
Hokkaido | Segnet and U-Net Implementations for Water Hyacinth Semantic Segmentation in Thailand Supatta Viriyavisuthisakul, Parinya Sanguansat (PIM), Toshihiko Yamasaki (UTokyo) MVE2019-25 |
Water Hyacinth is an aquatic weed that can spread very quickly. Normally, it can be found in a dam or river. Water Hyaci... [more] | MVE2019-25 pp.9-12 |
|
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-20 09:45 |
Okinawa | [Short Paper]
Prostate Zonal Segmentation Using Deep Learning Changhee Han, Jin Zhang, Ryuichiro Hataya, Yudai Nagano, Hideki Nakayama (Univ. of Tokyo), Leonardo Rundo (Milano-Bicocca Univ.) MI2017-86 |
Prostate cancer is the second most common cancer among men and segmenting the Transition Zone (TZ) and Peripheral Zone (... [more] | MI2017-86 pp.69-70 |
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