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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| RCC, ITS, WBS | 2022-12-14 15:35 |
Shiga | Ritsumeikan Univ. BKC (Primary: On-site, Secondary: Online) |
A study on a pedestrian-vehicle collision avoidance support system for pedestrians in blind spots Yukito Kawashita, Hikaru Shimada, Tomotaka Wada (Kansai Univ)  WBS2022-62 ITS2022-38 RCC2022-62 |
Our research focuses on pedestrian-vehicle collision avoidance support systems using wireless communication. In particul... [more] | WBS2022-62 ITS2022-38 RCC2022-62 pp.150-155 |
| SR | 2022-11-08 09:30 |
Fukuoka | Fukuoka University (Primary: On-site, Secondary: Online) |
Adaptive Transmission Interval Control Method Considering Power Consumption and Reliability for Pedestrian-to-Infrastructure Communications Takuya Yoshimura, Atsuki Mukoda, Oki Noriyuki, Ayumu Ueda, Takeo Fujii (UEC) SR2022-57 |
In order to put fully automated driving into practice, ensuring the safety of pedestrians is important. Research of pede... [more] | SR2022-57 pp.64-70 |
| NLP, CAS | 2015-10-06 11:25 |
Hiroshima | Aster Plaza | A Study for a Pedestrian Recognition System that Uses Color Region Features Yujiro Matsuda, Lin Meng, Masahiro Fukui (Ritsumeikan Univ.) CAS2015-38 NLP2015-99 |
In recent years, high accuracy and high-speed pedestrian recognition system is strongly requested as the demand of the a... [more] | CAS2015-38 NLP2015-99 pp.91-96 |
| IE, EMM, LOIS, IEE-CMN, ITE-ME [detail] | 2014-09-18 17:35 |
Kochi | [Invited Talk]
Pedestrian Detection with an In-Vehicle Camera Guoyue Chen, Xingguo Zhang, Kazuki Saruta, Yuki Terata (Akita Prefectural Univ.) LOIS2014-24 IE2014-37 EMM2014-54 |
Every year almost 1 million people are killed in traffic crashes. Over the past twenty years, research has moved toward ... [more] | LOIS2014-24 IE2014-37 EMM2014-54 p.59 |
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| ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] | 2014-02-18 13:35 |
Hokkaido | Hokkaido Univ. | HOG Feature based Polar Coordinates for Pedestrian Detection Yuta Horikawa, Kousuke Matsushima (KurumeNCT) ITS2013-65 IE2013-130 |
Recently, the number of traffic accidents and injured people has been decreasing. However, the traffic-related pedestria... [more] | ITS2013-65 IE2013-130 pp.357-362 |
| ITS | 2013-07-26 15:30 |
Osaka | Kansai University | Pedestrian Dead Reckoning for Mobile Phones through Walking and Running Mode Recognition Noriaki Kakiuchi, Shunsuke Kamijo (Univ. of Tokyo) ITS2013-11 |
Pedestrian dead reckoning (PDR) is an effective positioning method in urban canyon environments where the accuracy of GP... [more] | ITS2013-11 pp.31-36 |
| ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] | 2013-02-19 09:20 |
Hokkaido | Hokkaido Univ. | Pedestrian Recognition System using Modified GLAC Feature Shoji Watanabe, Kousuke Matsushima (National College of Tech.) ITS2012-44 IE2012-124 |
The number of pedestrian deaths are more than 35%, and it is the main component of traffic accidents. So, pedestrian de... [more] |
ITS2012-44 IE2012-124 pp.257-262 |
| IN, NS, CS (Joint) |
2012-09-21 09:50 |
Miyagi | Tohoku Univ. Research Institute of Electrical Communication 2gokan | Development of the Vehicular Collision Avoidance Support System considering the risk of pedestrian using mobile devices Tatsuya Yoshida, Shunya Umemoto, Tomotaka Wada, Hiromi Okada (Kansai Univ.) IN2012-66 |
We have developed Pedestrian-Vehicular Collision Avoidance Support System(P-VCASS) in order to protect pedestrians from ... [more] | IN2012-66 pp.87-92 |
| ITS, IEE-ITS | 2011-03-11 14:40 |
Kyoto | A System Which Forecasts the Spatio-Temporal Distribution of Pedestrians
-- On Feasibility Study -- Mikio Sasaki (DENSO) ITS2010-76 |
A system which forecasts the appearance of pedestrians within the specified area and the specified time is proposed. Thi... [more] | ITS2010-76 pp.53-58 |
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| PRMU, MVE, IPSJ-CVIM [detail] | 2011-01-21 10:25 |
Shiga | Quantification of the Visibility of Pedestrians Based on Integration of Local and Global Features Masashi Wakayama, Keisuke Doman, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.), Yukimasa Tamatsu (DENSO) PRMU2010-179 MVE2010-104 |
This paper proposes a method to quantify the visibility of pedestrians using in-vehicle camera. Since many driver assist... [more] | PRMU2010-179 MVE2010-104 pp.253-258 |
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| SIS | 2010-12-03 10:50 |
Nara | How should we combine detection and tracking to achieve accurate pedestrian recognition? Hiroki Sugano, Ryusuke Miyamoto (NAIST) SIS2010-50 |
Accurate pedestrian recognition is required in collision avoidance of automotive applications and intruder detection sy... [more] |
SIS2010-50 pp.89-94 |
|
| HPB (2nd) |
2010-09-09 14:15 |
Nara | Nara Women's Univ. | A study about identification of pedestrian by using 3-axis accelerometer Daisuke Sugimori, Takeshi Iwamoto, Michito Matsumoto (Toyama Prefectural Univ.) |
Recently, there are many kinds of certification systems, for example, IC card system and biometric recognition system. H... [more] | |
| SIS | 2010-06-10 15:50 |
Hokkaido | Abashiri Public Auditorium | A Study on Efficient Pedestrian Recognition using Markov Chain Monte Carlo Jaehoon Yu (Osaka Univ.), Hiroki Sugano, Ryusuke Miyamoto (NAIST), Takao Onoye (Osaka Univ.) SIS2010-12 |
For object detection including pedestrian detection, sliding window approach is widely used, in which classification usi... [more] | SIS2010-12 pp.65-70 |
| PRMU, HIP | 2010-03-15 14:55 |
Kagoshima | Kagoshima Univ. | ESTIMATING FACE DIRECTION FROM WIDE SURVEILLANCE CAMERA Shinji Abe, Masakazu Morimoto, Kensaku Fujii (Univ. of Hyogo) PRMU2009-255 HIP2009-140 |
In this paper, we propose a facial direction estimating system from low resolution facial images captured by surveillanc... [more] | PRMU2009-255 HIP2009-140 pp.127-132 |
| ITE-AIT, IE, ITE-HI, ITE-ME, ITS | 2010-02-16 13:25 |
Hokkaido | Graduate School of Information and Technology, Hokkaido Univ. | A Pedestrian Positioning System Using Road Traffic Signs and Landmarks Based on Current Location Recognition Tomoyuki Kojima, Masao Yanagisawa, Tatsuo Ohtsuki, Nozomu Togawa (Waseda Univ.) ITS2009-64 IE2009-158 |
Mobile-GPS is generally used for pedestrian positioning on mobile devices such as mobile phones and PDAs.However mobile-... [more] | ITS2009-64 IE2009-158 pp.153-158 |
| ITS, WBS (Joint) |
2009-12-09 09:00 |
Kumamoto | Kumamoto University | Pedestrian Recognition Based on Boosting using Combination of Feature Detector Kousuke Matsushima (Kurume Nat Coll of Tech.), Keiichi Uchimura (Kumamoto Univ.), Shoji Esaki (Kurume Nat Coll of Tech.) ITS2009-28 |
Pedestrian-vehicle accidents account for about one third of the total automotive related fatality and injury. So the inc... [more] | ITS2009-28 pp.61-66 |
| IE, ITS, ITE-HI, ITE-ME, ITE-AIT | 2009-02-04 15:20 |
Hokkaido | Graduate School of Information Science and Technology Hokkaido Univ | Vision-based Pedestrian Recognition using AdaBoost Kousuke Matsushima, Kohei Senba (Kurume National College of Tech.), Keiichi Uchimura (Kumamoto Univ.), Shoji Esaki (Kurume National College of Tech.) ITS2008-51 IE2008-221 |
Pedestrian-vehicle accidents account for about one third of the total automotive related fatality and injury. So the inc... [more] | ITS2008-51 IE2008-221 pp.97-102 |
| ITS | 2008-07-28 14:00 |
Aichi | Nagoya University | Recognition Rate Investigation of Various Photography Conditions for Pedestrian Positioning Using Road Traffic Signs Tomoyuki Kojima, Nozomu Togawa, Masao Yanagisawa, Tatsuo Ohtsuki (Waseda Univ.) ITS2008-14 |
Pedestrian navigation systems are being developed by the spread of GPS.However GPS can cause approximately 100-meter err... [more] | ITS2008-14 pp.37-42 |
| ITS, IPSJ-ITS, IEE-ITS | 2007-09-19 15:15 |
Tokyo | Institute of Industrial Science, University of Tokyo | Positioning Method Using Road Traffic Sign to Correct GPS Error for Pedestrian Navigation Hidetaka Ohira, Nozomu Togawa, Masao Yanagisawa, Tatsuo Ohtsuki (Waseda Univ) ITS2007-28 |
GPS has a significant error caused by multipath, poor satellite reception and so on. We propose a positioning method th... [more] |
ITS2007-28 pp.27-32 |
| PRMU, NLC, TL | 2006-10-20 09:00 |
Tokyo | Simultaneous Recognition of Multiple Moving Objects Using Cubic Higher-Order Local Autocorrelation Yasuyuki Shimohata (Tokyo Univ.), Nobuyuki Otsu (Tokyo Univ/NIST) |
Moving objects recognition is an important problem in video surveillance applications, ITS(Intelligent Transport Systems... [more] | PRMU2006-104 pp.1-6 |
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