IEICE Technical Committee Submission System
Conference Schedule
Online Proceedings
[Sign in]
Tech. Rep. Archives
    [Japanese] / [English] 
( Committee/Place/Topics  ) --Press->
 
( Paper Keywords:  /  Column:Title Auth. Affi. Abst. Keyword ) --Press->

All Technical Committee Conferences  (All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 48  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
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)

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
MBE, BioX 2018-07-26
13:45
Tottori   Relationship between Pedal Operations and EEG signals of Vehicle Drivers at Traffic Signals
Akira Utsumi (ATR), Hiroshi Ashida (ATR/Kyoto Univ.), Kenji Susami (ATR/Kindai Univ.), Isamu Nagasawa (SUBARU), Norihiro Hagita (ATR) BioX2018-7 MBE2018-15
Driving behavior and EEG (Fz/Cz/Pz) signals of vehicle drivers have been recorded through a simulated driving experiment... [more] BioX2018-7 MBE2018-15
pp.1-4
ITS, IEE-ITS 2018-03-07
16:15
Kyoto Kyoto Univ. A Study on Behavior Prediction Using Multiple Object Recognition in Road Environment
Ryo Kawanami, Kousuke Matsushima (NITKC) ITS2017-87
Recently, self-driving technology has attracted attention. In order to further advance the self-driving technology, it i... [more] ITS2017-87
pp.35-40
ITS, IEE-ITS 2018-03-08
10:00
Kyoto Kyoto Univ. Analysis of Driving Behavior and Driver Characteristics towards Accident Risk Assessment of Intersection Collision
Masaki Tani, Haruki Kawanaka, Koji Oguri (Aichi Prefectural Univ.) ITS2017-88
There are no effective indicators to evaluate the risk of collision accident at an intersection. For example, PICUD whic... [more] ITS2017-88
pp.41-46
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] 2018-02-15
10:00
Hokkaido Hokkaido Univ. Analysis of Older Drivers' Behavior with Driving Simulator
Manabu Ide, Kazunori Shidoji (Kyushu Univ.) ITS2017-61 IE2017-93
Traffic accidents of elderly drivers are becoming a social problem. In order to take measures effectively to prevent roa... [more] ITS2017-61 IE2017-93
pp.1-4
ICTSSL 2017-07-14
10:00
Kagawa Kagawa Univ. Analysis of Driving Skills in Curve Scenes based on Deep Learning using Stacked Autoencoders
Takuya Kagawa, Naiwala P. Chandrasiri (Kogakuin Univ.) ICTSSL2017-24
With the advancement of automobile technology and consumer motivation to buy automobiles, it is expected that automatic ... [more] ICTSSL2017-24
pp.39-43
SSS 2017-06-20
14:20
Tokyo   Design integration for support system recognizing of traffic signs
Taiki Uchida (Univ. of Tsukuba) SSS2017-9
Driver's recognizing of traffic signs and obtaining of traffic information on the road can be a burden to driving behavi... [more] SSS2017-9
pp.9-13
 Results 1 - 20 of 48  /  [Next]  
Choose a download format for default settings. [NEW !!]
Text format pLaTeX format CSV format BibTeX format
Copyright and reproduction : All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan