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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 54 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
AI 2017-06-01
14:00
Tokyo Waseda Univ. Analysis of Relationship between Form of Driving Support Agent and Gaze Behavior -- Study on Driver-Agent for Encouraging Safety Driving Behavior of Elderly Drivers --
Takahiro Tanaka, Kazuhiro Fujikake, Takashi Yonekawa, Misako Yamagishi, Makoto Inagami, Fumiya Kinoshita, Hirofumi Aoki, Hitoshi Kanamori (Nagoya Univ.) AI2017-3
In recent year, the number of traffic accidents caused by elderly drivers has increased. However, the car is one of impo... [more] AI2017-3
pp.13-18
ITS, IEE-ITS 2017-03-07
11:30
Kyoto Kyoto Univ. Experimental verification of influences and risks of "texting while driving"
Fumiaki Obayashi (AUT), Shun-ichi Miyazawa (JAF), Ryuta Matsui (JAF Media Works), Kazuhiro Kozuka (AUT) ITS2016-81
With the rapid spread of smartphones in recent years, traffic accidents have occurred frequently at “texting while drivi... [more] ITS2016-81
pp.25-30
IMQ 2015-11-27
16:05
Kyoto   Basic Consideration of Attention Influence Caused by Ambient Glasses
Yuta Saito, Hirotaka Maruyama, Saaya Urakabe, Takeru Mashio, Gaku Iizuka, Mitsuho Yamada (Tokai Univ) IMQ2015-24
Practical use of the ITS technology to road transportation system and driving support equipment are progressed in recent... [more] IMQ2015-24
pp.19-24
IMQ 2015-07-10
14:25
Shizuoka   Gazing point analysis by 4K Driving Simulator
Yuta Saito, Gaku Iizuka, Mitsuho Yamada (Tokai University) IMQ2015-8
Practical use of the ITS technology to road transportation system and driving support equipment are progressed in recent... [more] IMQ2015-8
pp.5-8
IBISML 2014-11-18
15:00
Aichi Nagoya Univ. [Poster Presentation] Symbolization approach for large-scale driving corpus
Takashi Bando, Kazuhito Takenaka, Masataka Mori (DENSO), Tadahiro Taniguchi (Ritsumeikan Univ.), Chiyomi Miyajima, Kazuya Takeda (Nagoya Univ.) IBISML2014-80
This paper presents symbolization approach of large-scale driving corpus and its applicability to various ITS problems. ... [more] IBISML2014-80
pp.337-343
IMQ 2014-05-16
14:55
Tokyo Takanawa Campus, Tokai University Analysis of head movement and eye movement while driving using bidirectional driving simulation system
Gaku Iizuka, Yuuya Nishimura, Kiichi Suzuki, Eiki Wakamatsu, Mitsuho Yamada (Tokai Univ) IMQ2014-5
In recent years, the traffic accident occurrence of Japan is decreasing by the spread of ITS technology. However, 40% or... [more] IMQ2014-5
pp.21-24
HIP 2013-07-14
10:15
Niigata Niigata University of Internatilnal and Information Studies Proposal for Observer Rating of Aggressive Driving (OR-AD)
Haruo Matsuo (NISSAN/NAIST), Julie McClafferty, Shane McLaughlin (VTTI) HIP2013-39
We established observer-independed Observer Rating of Aggressive Driving (OR-AD). OR-AD was created through the video an... [more] HIP2013-39
pp.31-36
NC, IPSJ-BIO 2013-06-28
09:55
Okinawa Okinawa Institute of Science and Technology A study on investigating the difference between expert and non-expert drivers using an easy-to-use driving simulator
Ayaka Kato, Tomohiro Shibata (NAIST), Takashi Bando (DENSO), Kazushi Ikeda (NAIST) NC2013-5
If there exists an in-home driving simulator, it enables licensed or unlicensed drivers to learn various driving behavio... [more] NC2013-5
pp.95-100
CNR, IPSJ-ITS
(Joint)
2013-06-14
15:50
Kanagawa Raiosha, Keio Univ. Study on Influence of Information of Water Covered Area on the Elderly Driver Behavior through In-vehicle Display -- Provision of Polygon-type and Photo-type Information based on VICS in Torrential Rains --
Yusuke Kobayashi, Tatsuru Daimon (Keio Univ), Kazumitsu Hayashi (VICS Center) CNR2013-7
This study describes the effect of the information contents of disaster event based on Vehicle Information and Communica... [more] CNR2013-7
pp.37-40
SIP, CAS, CS 2013-03-15
15:35
Yamagata Keio Univ. Tsuruoka Campus (Yamagata) Towards driving behavior prediction: Applying nonparametric Bayesian approach to driving operation time series data
Ryunosuke Hamada, Takatomi Kubo, Kazushi Ikeda, Zujie Zhang, Tomohiro Shibata (NAIST), Takashi Bando, Masumi Egawa (DENSO) CAS2012-142 SIP2012-173 CS2012-148
Prediction of driving behaviors is important problem in developing a next-generation driving support system. In order to... [more] CAS2012-142 SIP2012-173 CS2012-148
pp.265-270
ITS, IEE-ITS 2013-03-11
15:00
Kyoto   Evaluation Method for Safe Driving Skill Based on Driving Behavior Analysis Using Vision-based Head Pose Estimation
Shouzo Noridomi (ATR/Doshisha Univ.), Masahiro Tada, Akira Utsumi, Naoki Yamamoto (ATR), Noriyoshi Matsuo, Takeshi Torii (Fuji Heavy Industries), Kazunori Shidoji (Kyushu Univ.) ITS2012-67
We propose a system to evaluate driver's skill based on a vision-based head pose estimation. Our former system 'Objet' u... [more] ITS2012-67
pp.65-69
SSS 2012-09-20
16:30
Tokyo   *
Makoto Itoh (Univ. of Tsukuba), Marie-pierre Pacaux-lemoine, Frederic Robache, Herve Morvan (Univ. of Valenciennes) SSS2012-16
This paper discusses driver’s emergency avoiding behavior while he or she is driving a car. Based on behavioral data obt... [more] SSS2012-16
pp.21-24
ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] 2012-02-21
09:40
Hokkaido Hokkaido Univ. Driving data collection using in-vehicle network and analysis of driving behavior on different types of vehicles
Hiroaki Ishikawa, Chiyomi Miyajima, Norihide Kitaoka, Kazuya Takeda (Nagoya Univ.) ITS2011-50 IE2011-126
A portable driving data recording system is developed using a smartphone with the Android OS and an in-vehicle network f... [more] ITS2011-50 IE2011-126
pp.257-262
PRMU, MI, IE 2011-05-20
11:00
Aichi   Prediction of driving behavior using driver's gaze information
Tatsuki Kamisaka, Masafumi Noda, Daisuke Deguchi (Nagoya Univ.), Yoshito Mekada (Chukyo Univ.), Ichiro Ide, Hiroshi Murase (Nagoya Univ.) IE2011-27 PRMU2011-19 MI2011-19
In recent years, driving assistance systems based on the prediction of driving behavior are becoming important for safe ... [more] IE2011-27 PRMU2011-19 MI2011-19
pp.105-110
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