Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IMQ, IE, MVE, CQ (Joint) [detail] |
2023-03-16 16:05 |
Okinawa |
Okinawaken Seinenkaikan (Naha-shi) (Primary: On-site, Secondary: Online) |
Automated Driving Methods Using Federated Learning Koki Ono, Celimuge Wu, Tsutomu Yoshinaga (UEC) CQ2022-99 |
When learning autonomous driving behavior using machine learning, a huge amount of driving data is required, and a large... [more] |
CQ2022-99 pp.96-101 |
ITS, IEE-ITS |
2023-03-13 15:55 |
Chiba |
Nihon Univ., Funabashi Campus (Primary: On-site, Secondary: Online) |
A pilot study on retention characteristics of In-lane driving position during normal driving Ryohei Miyata, Yuji Matsuki (FIT) ITS2022-82 |
To prevent traffic accidents, it's crucial to address human factors that contribute to them. This can be achieved by mon... [more] |
ITS2022-82 pp.18-21 |
CNR |
2022-07-01 10:30 |
Okinawa |
(Primary: On-site, Secondary: Online) |
A Video Generation for Uncosciously Triggering Advance Preparation of Passengers in Automated Vehicles Kazuki Shimada (The Univ. of Tsukuba), Taishi Sawabe (NAIST), Hidehiko Shishido (The Univ. of Tsukuba), Masayuki Kanbara (NAIST), Itaru Kitahara (The Univ. of Tsukuba) CNR2022-2 |
In automated driving, it is difficult to predict the acceleration stimulus that arises due to the vehicle’s behavior cha... [more] |
CNR2022-2 pp.6-11 |
MBE |
2022-05-13 13:55 |
Online |
Online |
Fundamental Measurement of Driver's Gaze Behavior toward Detection for Pedestrian in an Intersection Ao Ogata, Takashi Imamura (Niigata Univ) MBE2022-2 |
The accident rate about pedestrian is high in cases of collision with a turning right vehicle at intersections. One of f... [more] |
MBE2022-2 pp.6-9 |
ITS, IEE-ITS |
2022-03-11 13:50 |
Online |
Online |
Automatic Path Following Control for Four-wheeled Cars Based on Just-In-Time Modeling Considering Road Surface ConditionsAutomatic Path Following Control for Four-wheeled Cars Based on Just-In-Time Modeling Considering Road Surface Conditions Kazuki Fukawa, Tatsuya Kai (Tokyo Univ. of Science) ITS2021-68 |
This study derives an automatic path following control method so that a four-wheeled car model can follow a sequence of ... [more] |
ITS2021-68 pp.28-33 |
ITS, IEE-ITS |
2021-03-15 14:05 |
Online |
Online |
Identification of Distracted Driving Focusing on Correction Steering for Lateral Sway of the Vehicles Daiki Sakakibara, Haruki Kawanaka, Hiroyuki Oishi, Koji Oguri (Aichi Pref Univ.) ITS2020-41 |
In recent years, accidents caused by people using their phones while driving are becoming a social problem. However, the... [more] |
ITS2020-41 pp.29-34 |
HCGSYMPO (2nd) |
2020-12-15 - 2020-12-17 |
Online |
Online |
Analysis driver characteristics based on integration of in-vehicle sensor data and driver video data Takashi Iitsuka, Shogo Okada (JAIST), Takashiro Tanaka, Yuki Yoshihara, Kazuhiro Fujikake, Hitoshi Kanamori (Nagoya University) |
Thought the development of the automobile industry has brought great benefits to people's lives, traffic accidents by in... [more] |
|
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 |
SRW, SeMI, CNR (Joint) |
2019-11-05 11:10 |
Tokyo |
Kozo Keisaku Engineering Inc. |
User behavior analysis for danger notification from vehicle to pedestrian Kyoko Yamori (Asahi Univ.), Iwai Takanori, Dai Kanetomo, Kozo Satoda (System platform Research Labs, NEC Corporation), Yoshiaki Tanaka (Waseda Univ.) SeMI2019-66 |
In recent years, research on autonomous driving has been progressing, especially research that considers the safety of p... [more] |
SeMI2019-66 pp.23-26 |
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] |
2019-06-18 13:30 |
Okinawa |
Okinawa Institute of Science and Technology |
Hybrid Reinforcement and Imitation Learning for Human-Like Agents Rousslan Fernand Julien Dossa, Xinyu Lian (Kobe Uni), Hirokazu Nomoto (EQUOS RESEARCH), Takashi Matsubara, Kuniaki Uehara (Kobe Uni) NC2019-16 IBISML2019-14 |
Reinforcement learning methods achieve performance superior to humans in a wide range of complex tasks and uncertain env... [more] |
NC2019-16 IBISML2019-14 pp.69-74(NC), pp.91-96(IBISML) |
IN, NS (Joint) |
2019-03-05 15:20 |
Okinawa |
Okinawa Convention Center |
Unified Driving Skill Analysis of Curves with Different Radii and Interior Angles of Automobiles based on Deep Learning Takuya Kagawa, Naiwala P. Chandrasiri (Kogakuin Univ) IN2018-151 |
With the advancement of automobile technology and consumer motivation to buy automobiles, it is expected that self drivi... [more] |
IN2018-151 pp.403-408 |
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] |
2019-02-19 09:45 |
Hokkaido |
Hokkaido Univ. |
Getting On and Off Judging System for Multiple People Corresponding to In/Out-Vehicle Safety for Automated Driving Last-Mile Mobility Shinichiro Kawabata (AIST/Tokyo Univ. of Science), Shin Kato (AIST) ITS2018-60 IE2018-81 |
AIST conducts research and development of a terminal transportation system using automatic driving technology and demons... [more] |
ITS2018-60 IE2018-81 pp.33-36 |
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] |
2019-02-19 16:45 |
Hokkaido |
Hokkaido Univ. |
A Trial Analysis of Driving Behavior on Expressway using Semi-Automated Vehicle Koki Hioki, Masahiro Tada (Kindai Univ.), Toru Hagiwara (Hokkaido Univ.), Hidekatsu Hamaoka (Akita Univ.), Yoshiki Ninomiya (Nagoya Univ.) |
This study aims to investigate how semi-automated driving system affects elderlies and non-elderlies driving behavior fr... [more] |
|
HCGSYMPO (2nd) |
|
Mie |
Sinfonia Technology Hibiki Hall Ise |
Analysis of dependence and over-trust on driving support robot Junya Matsukawa, Tomoki Miyamato, Daisuke Katagami (Tokyo Polytechnic Univ.), Takahiro Tanaka, Hitoshi Kanamori, Yuki Yoshihara, Kazuhiro Fujikake (Nagoya Univ.) |
The purpose of this research is to analyze the dependence and the over-trust caused by receiving the utterance from the ... [more] |
|
HCGSYMPO (2nd) |
2018-12-12 - 2018-12-14 |
Mie |
Sinfonia Technology Hibiki Hall Ise |
Driver Characteristics and Improvement Effect by Driving Support
-- Driver Agent for Encouraging Safe Driving Behavior -- Kazuhiro Fujikake, Takahiro Tanaka, Yuki Yoshihara, Makoto Inagami, Takashi Yonekawa, Hirofumi Aoki, Hitoshi Kanamori (Nagoya Univ.) |
In this study, we classify the characteristics by self-evaluation on driving behavior and driving behavior, and examined... [more] |
|
WBS, ITS, RCC |
2018-12-06 16:00 |
Okinawa |
Miyako Island Hirara Port Terminal Bldg. |
Getting on and off State Confirmation System Corresponding to In-vehicle Safety for Automated Driving Last-Mile Mobility Shinichiro Kawabata (AIST/Tokyo Univ. of Science), Shin Kato (AIST) WBS2018-56 ITS2018-39 RCC2018-87 |
Currently, in Japan, new transportation systems using automatic driving techniques are expected to secure transportation... [more] |
WBS2018-56 ITS2018-39 RCC2018-87 pp.159-163 |
WBS, ITS, RCC |
2018-12-07 09:30 |
Okinawa |
Miyako Island Hirara Port Terminal Bldg. |
Yielding Operation in Encounters with Emergency Vehicles and Analysis of Driver's Operation
-- The vehicle to vehicle communication and its problem toward automated driving cars -- Hideaki Nanba (Aichi-PU), Manabu Sawada (DENSO), Haruki Kawanaka, Koji Oguri (Aichi-PU) WBS2018-60 ITS2018-43 RCC2018-91 |
There are other difficult problems for the automated driving cars in the case of running on the public road. One of the ... [more] |
WBS2018-60 ITS2018-43 RCC2018-91 pp.181-186 |
CCS |
2018-11-23 10:50 |
Hyogo |
Kobe Univ. |
A Human-Like Agent Based on a Hybrid of Reinforcement and Imitation Learning Xinyu Lian, Rousslan Fernand Julien Dossa (Kobe Univ.), Hirokazu Nomoto (EQUOS RESEARCH), Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) CCS2018-41 |
Reinforcement learning (RL) makes it possible to build an efficient agent that handles tasks in complex and uncertain en... [more] |
CCS2018-41 pp.45-50 |
CAS, NLP |
2018-10-19 13:20 |
Miyagi |
Tohoku Univ. |
A Trial for EV Cart Model Design and Experiments for the Acceleration Optimization Haruya Fujii, Lei Lin, Masahito Arima, Masahiro Fukui (Ritumeikan Univ.) CAS2018-55 NLP2018-90 |
Electric vehicles (EVs) are expanding their markets to green the transportation system. In the development of green ener... [more] |
CAS2018-55 NLP2018-90 pp.99-102 |
IEE-CMN, EMM, LOIS, IE, ITE-ME [detail] |
2018-09-28 15:05 |
Oita |
Beppu Int'l Convention Ctr. aka B-CON Plaza |
A study of the potentiality to predict personality traits, BIG5, from driving behavior Yuichi Ishikawa, Akihiro Kobayashi, Minamikawa Atsunori (KDDI Research) LOIS2018-23 IE2018-43 EMM2018-62 |
This paper studies the potentiality to predict the personality traits, BIG5, from daily driving behavior. Having examine... [more] |
LOIS2018-23 IE2018-43 EMM2018-62 pp.89-94 |