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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-15 10:30 |
Okinawa | Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
A Point Cloud Downsampling Method Considering Local Features for 3D Object Classification Ryota Sugimoto, Kenji Kanai, Shiori Maki, Jiro Katto (Waseda Univ.)  IMQ2023-70 IE2023-125 MVE2023-99 |
In recent years, use of point cloud data has been considered for 3D spatial recognition. To reduce processing load cause... [more] | IMQ2023-70 IE2023-125 MVE2023-99 pp.313-318 |
| AP, WPT (Joint) |
2024-01-17 15:25 |
Niigata | Tokimate, Niigata University (Primary: On-site, Secondary: Online) |
[Invited Lecture]
A Method for Estimating Ray-Tracing Parameters Using Machine Learning
-- A Study in Indoor Environment Using Point Cloud Data -- Satoshi Iwasaki, Kento Sugiyama, Yukiko Kishiki (KKE) AP2023-164 |
Radio propagation analysis using the ray tracing method is used in various situations because various radio propagation ... [more] | AP2023-164 pp.24-29 |
| IA | 2023-09-22 13:10 |
Hokkaido | Hokkaido Univeristy (Primary: On-site, Secondary: Online) |
Development and Evaluation of Construction Method of Machine Learning Model for Behavior Estimation of Elderly People based on Sensor Fusion around LiDAR Keigo Shimatani, Hiroshi Yamamoto (Ritsumeikan Univ) IA2023-26 |
In recent years, population is aging rapidly in Japan, and the shortage of caregivers in the welfare field is a serious ... [more] | IA2023-26 pp.95-100 |
| AP, SANE, SAT (Joint) |
2023-07-14 16:30 |
Hokkaido | The Citizen Activity Center (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Propagation Loss Estimation in Bridge Environment using 3D Structural Information as Deep Learning Features Satoshi Iwasaki, Yuta Taki, Kazuhide Kiuchi, Yukiko Kishiki (KKE), Miyuki Hirose, Tetsuro Imai (TDU) AP2023-64 |
In Society 5.0, where diverse wireless communications are utilized, there is a demand for rapid design, evaluation, and ... [more] | AP2023-64 pp.181-186 |
| SeMI, IPSJ-MBL, IPSJ-UBI | 2022-03-08 14:45 |
Online | Online | Evaluation of Data Augmentation Methods Considering Occlusion Region for 3D Point Cloud Classification Shiori Maki, Kenji Kanai, Shota Hirose, Heming Sun, Jiro Katto (Waseda Univ.) SeMI2021-91 |
In recent years, research of point cloud classification using deep learning has been improved. In this paper, we propose... [more] | SeMI2021-91 pp.47-52 |
| CQ, CBE (Joint) |
2022-01-27 16:05 |
Ishikawa | Kanazawa（Ishikawa Pref.） (Primary: On-site, Secondary: Online) |
Proposal and evaluation of 3D-point object estimation method based on probability space representation Hiroaki Sato, Shin'ichi Arakawa, Masayuki Murata (Osaka Univ.) CQ2021-83 |
New network services are expected to emerge using real spatial information in remote areas. For the advancement of servi... [more] | CQ2021-83 pp.39-44 |
| RECONF | 2021-06-08 15:45 |
Online | Online | A Case for FPGA Implementation of Deep Neural Network Based 2D Point Cloud Registration Keisuke Sugiura, Hiroki Matsutani (Keio Univ.) RECONF2021-5 |
(To be available after the conference date) [more] | RECONF2021-5 pp.20-25 |
| 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 |
| 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 |
|
| PRMU, CNR | 2019-03-01 09:30 |
Tokushima | Point cloud deep learning for estimating 3-D rigid body transformation Yukihiro Toda, Naoya Chiba, Koichi Hashimoto (Tohoku Univ.) PRMU2018-123 CNR2018-46 |
6D pose estimation is an important task in the research field of robot vision. Pose estimation is used in picking task i... [more] | PRMU2018-123 CNR2018-46 pp.49-52 |
|
| ITS | 2018-06-12 13:55 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Towards ADAS Map: Automatic Extraction and Integration of Semantic Traffic Regulation from MMS Data Yue Zhang, Ehsan Javanmardi, Mahdi Javanmardi, Yanlei Gu, Shunsuke Kamijo (UTokyo) ITS2018-2 |
Advanced Driver Assistance Systems (ADAS) map is one of the most important components for autonomous driving. And traffi... [more] | ITS2018-2 pp.7-12 |
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