Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SIS, IPSJ-AVM |
2022-06-09 13:00 |
Fukuoka |
KIT(Wakamatsu Campus) (Primary: On-site, Secondary: Online) |
Hardware Implementation of Annealing Machine using Chaotic Boltzmann Machine Kanta Yoshioka (Kyutech), Ichiro Kawashima, Hakaru Tamukoh (Kyutech/Neumorph Center) SIS2022-1 |
With the end of Moore's law, annealing quantum computers that can solve various combinatorial optimization problems are ... [more] |
SIS2022-1 pp.1-6 |
SIS, IPSJ-AVM |
2022-06-09 13:20 |
Fukuoka |
KIT(Wakamatsu Campus) (Primary: On-site, Secondary: Online) |
Quantification of the danger of arbitrary walking scenes based on outdoor walking collision simulation within a 3DCG map space Yukihiro Matsunaga (Kyutech), Masato Matsuoka (Kyushu Univ.), Hiromu Tanaka, Hideaki Kawano (Kyutech) SIS2022-2 |
One of the problems that visually impaired people face when they go out is an accident caused by collision with an obsta... [more] |
SIS2022-2 pp.7-11 |
SIS, IPSJ-AVM |
2022-06-09 13:40 |
Fukuoka |
KIT(Wakamatsu Campus) (Primary: On-site, Secondary: Online) |
Junction Detection and Recognition Based on Results of Feature Matching Computed by SuperGlue Kohei Saito, Hiroaki Sudo, Kazufumi Honda, Marin Wada, Yuriko Ueda, Yuki Yuda, Miho Adachi, Ryusuke Miyamoto (Meiji Univ.) SIS2022-3 |
We attempt to actualize a novel visual navigation scheme
that strongly depends on results of semantic segmentation.
To... [more] |
SIS2022-3 pp.12-17 |
SIS, IPSJ-AVM |
2022-06-09 14:10 |
Fukuoka |
KIT(Wakamatsu Campus) (Primary: On-site, Secondary: Online) |
Orientation Control of An Autonomous Robot Based on SuperGlue in Urban Scenes Hiroaki Sudo, Kazufumi Honda, Kouhei Saito, Yuki Yuda, Yuriko Ueda, Marin Wada, Miho Adachi, Ryusuke Miyamoto (Meiji Univ.) SIS2022-4 |
[more] |
SIS2022-4 pp.18-23 |
SIS, IPSJ-AVM |
2022-06-09 14:30 |
Fukuoka |
KIT(Wakamatsu Campus) (Primary: On-site, Secondary: Online) |
Orientation Control at An Intersection Based on Semantic Segmentation for Visual navigation Kazufumi Honda, Kouhei Saito, Hiroaki Sudo, Yuki Yuda, Yuriko Ueda, Marin Wada, Miho Adachi, Ryusuke Miyamoto (Meiji Univ.) SIS2022-5 |
We attempt to actualize a novel visual navigation scheme that strongly depends on results of semantic segmentation. The ... [more] |
SIS2022-5 pp.24-29 |
SIS, IPSJ-AVM |
2022-06-09 15:00 |
Fukuoka |
KIT(Wakamatsu Campus) (Primary: On-site, Secondary: Online) |
[Invited Talk]
Advanced applications of machine learning techniques towards high-performance and cost-effective visual inspection AI Terumasa Tokunaga (Kyutech) SIS2022-6 |
Visual inspection is an essential step for quality control in manufacturing. Recently, many researchers have shown great... [more] |
SIS2022-6 p.30 |
SIS, IPSJ-AVM |
2022-06-10 11:00 |
Fukuoka |
KIT(Wakamatsu Campus) (Primary: On-site, Secondary: Online) |
A human tracking and identification system by coordinating multiple cameras arranged sparsely Yuma Iwanaga, Yosuke Kawano, Shudai Ishikawa, Hirokazu Shimada (ONCT) SIS2022-7 |
(To be available after the conference date) [more] |
SIS2022-7 pp.31-35 |
SIS, IPSJ-AVM |
2022-06-10 11:20 |
Fukuoka |
KIT(Wakamatsu Campus) (Primary: On-site, Secondary: Online) |
Sugar content detection using wireless LAN system for sucrose aqueous solution Souta Yakura, Naoto Sasaoka, Tadao Nakagawa, Yoshihiro Takemura (Tottori Univ.) SIS2022-8 |
Currently, Japan’s agricultural industry is facing various problems such as farming population. To solve such problems ,... [more] |
SIS2022-8 pp.36-40 |
SIS, IPSJ-AVM |
2022-06-10 11:40 |
Fukuoka |
KIT(Wakamatsu Campus) (Primary: On-site, Secondary: Online) |
An embedded-oriented sound classification system using reservoir computing Yuichiro Tanaka, Issei Uchino (Kyutech), Kazunobu Ohkuri (Sony), Hakaru Tamukoh (Kyutech) SIS2022-9 |
Although deep neural networks (DNNs) have achieved state-of-the-art results in sound classification tasks in recent year... [more] |
SIS2022-9 pp.41-44 |
SIS, IPSJ-AVM |
2022-06-10 13:00 |
Fukuoka |
KIT(Wakamatsu Campus) (Primary: On-site, Secondary: Online) |
[Tutorial Lecture]
How to build a High-Precision and Efficient Robot Vision: Dataset Generation and Hardware Implementation for Deep Learning Hakaru Tamukoh (Kyutech) SIS2022-10 |
This tutorial lecture explains a construction method for high-precision and efficient robot vision that includes a semi-... [more] |
SIS2022-10 pp.45-48 |