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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| AI | 2023-09-12 15:35 |
Hokkaido | A Comparative Study of Path Prediction Methods Using Deep Learning in the Stanford Drone Dataset Kentaro Eguchi, Kota Takeshita, Takaaki Miyajima (Meiji Univ.)  AI2023-18 |
(To be available after the conference date) [more] | AI2023-18 pp.95-100 |
|
| PRMU | 2020-10-09 15:15 |
Online | Online | Trajectory Forecasting using Deep Learning: A Survey Horoaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi (Chubu Univ.) PRMU2020-29 |
Trajectory forecasting is the technology of predicting the path along which moving objects such as a pedestrian and vehi... [more] | PRMU2020-29 pp.62-78 |
| ITS, IEE-ITS | 2020-03-10 17:10 |
Shiga | Ritsumeikan Univ. (BKC) (Cancelled but technical report was issued) |
A study on autonomous driving on general roads by predicting the route of other vehicles based on lane information Yohei Ogawa, Yasushi Tauchi, Yoshiki Mizukami (Yamaguchi Univ) ITS2019-70 |
In this study, we aim to realize automatic driving on general roads with complicated surrounding conditions, and develop... [more] | ITS2019-70 pp.93-98 |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-05 11:35 |
Fukuoka | Kyushu Institute of Technology (Cancelled but technical report was issued) |
Pedestrian trajectory prediction considering consistent movement of surrounding people Kei Horiuchi, Yoshihiro Maeda (Tokyo Univ. of Science), Daisuke Sugimura (Tsuda Univ.), Takayuki Hamamoto (Tokyo Univ. of Science) IMQ2019-18 IE2019-100 MVE2019-39 |
In this paper, we propose a pedestrian trajectory prediction method considering the consistent movement of surrounding p... [more] | IMQ2019-18 IE2019-100 MVE2019-39 pp.23-26 |
| PRMU | 2017-10-13 09:45 |
Kumamoto | [Survey paper] Vision-based path prediction Tsubasa Hirakawa, Takayoshi Yamashita (Chubu Univ.), Toru Tamaki (Hiroshima Univ.), Hironobu Fujiyoshi (Chubu Univ.) PRMU2017-82 |
Path prediction is a method to predict future migration pathway of an object such as pedestrian or car in a movie. Becau... [more] | PRMU2017-82 pp.109-118 |
|
| MSS | 2013-01-22 11:35 |
Osaka | Osaka Int. Convention Center | Path Prediction using a Path Planning Method under the Lack of Observed Data Situation Megumi Sawada, Atsuo Ozaki, Shusuke Watanabe (Mitsubishi Electric) MSS2012-47 |
When observed data of the aircraft is the lack during the radar tracking, Path Prediction is generally made on the assum... [more] | MSS2012-47 pp.11-15 |
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