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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ITS, IPSJ-ITS, IEE-ITS | 2023-08-29 16:45 |
Kanagawa | Kanto Gakuin Univ. (Kanazawa-Hakkei Campus) (Primary: On-site, Secondary: Online) |
A Study on evaluation index for step counting of PDR Hana Osawa, Masahiro Fujii (Utsunomiya Univ.)  ITS2023-10 |
Pedestrian Dead Reckoning (PDR) is an alternative pedestrian location estimation method for indoor when GNSS (Global Nav... [more] | ITS2023-10 pp.16-21 |
| PN, MWP, EMT, PEM, IEE-EMT [detail] | 2022-01-27 13:30 |
Online | Online | Experimental Study of In-Vehicle Secondary radar to detect pedestrians in NLOS Satomi Masuda, Zhou Zhongqi, Maiko Kitamura, Mao Morishita, Kunihisa Jitsuno (Waseda Univ.), Keizo Inagaki, Atsushi Kanno (NICT), Tetsuya Kawanishi (Waseda Univ.) PN2021-36 EMT2021-52 MWP2021-41 |
It's not easy to detect in areas where there are many obstacles to the signals, such as NLOS. In this study, we invest... [more] |
PN2021-36 EMT2021-52 MWP2021-41 pp.19-22 |
| RCS, SR, NS, SeMI, RCC (Joint) |
2021-07-14 13:50 |
Online | Online | Pedestrian Radar Map System using 360-degree camera Kazuki Murayama, Kenji Kanai, Masaru Takeuchi, Heming Sun, Jiro Katto (Waseda Univ.) SeMI2021-18 |
In recent years, the demand for urban monitoring using ICT technology has increased. Especially, for achieving a full ba... [more] | SeMI2021-18 pp.29-34 |
| NS, ICM, CQ, NV (Joint) |
2020-11-27 10:45 |
Online | Online | Relation between Location Information Error and Warning Error in Vehicle-to-Pedestrian Warning System Takahiro Suzuki (Waseda Univ.), Kyoko Yamori (Asahi Univ.), Takumi Miyoshi (Shibaura Inst. of Tech.), Yoshiaki Tanaka (Waseda Univ.) CQ2020-56 |
In order to prevent traffic accidents between pedestrians and vehicles, it will be effective to introduce a vehicle-to-p... [more] | CQ2020-56 pp.50-55 |
| MI, IE, SIP, BioX, ITE-IST, ITE-ME [detail] | 2020-05-29 15:10 |
Online | Online | Distant pedestrian detection from nighttime NIR video by moving-region zooming Atsuki Hiramatsu, Yusuke Kameda (TUS), Hiroshi Ikeoka (Fukuyama Univ.), Takayuki Hamamoto (TUS) SIP2020-16 BioX2020-16 IE2020-16 MI2020-16 |
Highly accurate pedestrian detection technology is required for functions such as automatic emergency braking, which are... [more] | SIP2020-16 BioX2020-16 IE2020-16 MI2020-16 pp.79-83 |
| RCS, SR, SRW (Joint) |
2020-03-05 09:00 |
Tokyo | Tokyo Institute of Technology (Cancelled but technical report was issued) |
Object identification with millimeter-wave radar using LSTM Takashi Nakamura (Keio Univ.), Kentaroh Toyoda (A*STAR, SIMTech, Singapore), Tomoaki Ohtsuki (Keio Univ.) RCS2019-349 |
Identifying objects is in great demand for avoiding road accidents. Radar-based method is superior to camera-based one ... [more] |
RCS2019-349 pp.153-158 |
| PRMU, IPSJ-CVIM | 2019-05-30 11:20 |
Tokyo | A Preliminary Study on Integrating Camera and LiDAR Pedestrian Detections Adaptive to Surrounding Environmental Conditions Haruya Kyutoku, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide (Nagoya Univ.), Kazuki Kato (DENSO CORPORATION), Hiroshi Murase (Nagoya Univ.) PRMU2019-6 |
Results of pedestrian detectors from in-vehicle sensors still have room for improvement in real environments. Therefore... [more] |
PRMU2019-6 pp.31-36 |
|
| MWP | 2019-05-22 16:30 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Preliminary Experimental Study on a Two-Frequency Secondary-Radar System to Detect Pedestrians beyond Blind Corners Keizo Inagaki (NICT), Motoki Shirai, Tetsuya Miura, Kunihisa Jitsuno, Tetsuya Kawanishi (Waseda Univ.) MWP2019-5 |
Authors are studying on a two-frequency secondary radar system to prevent traffic accidents between pedestrians and vehi... [more] | MWP2019-5 pp.19-22 |
| ASN, MoNA, IPSJ-MBL, IPSJ-UBI [detail] | 2019-03-05 14:25 |
Tokyo | The University of Tokyo, Komaba Campus | Tracking Multiple Pedestrians Using the Network of Human Detectors Kyosuke Konishi, Hiroshi Kameda (Mitsubishi Electric Corp.) ASN2018-112 |
Tracking indoor pedestrians makes logistics in a factory effective and a security system in a building accurate. Convent... [more] | ASN2018-112 pp.203-208 |
| MoNA | 2018-12-25 17:00 |
Tokyo | Detection of user's movement state using rotation vector sensor in indoor PDR for disaster relief Masaki Nishizaka, Hiroaki Morino (SIT) MoNA2018-55 |
It is important to quickly rescue the requisite rescuers in the building after a large-scale disaster such as an earthqu... [more] | MoNA2018-55 pp.95-99 |
|
| SAT, RCS (Joint) |
2018-08-10 11:40 |
Iwate | Iwate University | Object Identification with Time Series of Millimeter-wave Radar Information Takashi Nakamura, Kentaroh Toyoda, Tomoaki Ohtsuki (Keio Univ.), Osamu Isaji, Kazuaki Hamada, Toshiyuki Miyazaki (DENSO TEN) RCS2018-145 |
Identifying objects with radar is in great demand for avoiding road accidents. Recent research tried to identify moving ... [more] | RCS2018-145 pp.75-80 |
| PRMU, BioX | 2018-03-18 15:45 |
Tokyo | A Preliminary Study on Estimating the Difficulty of Pedestrian Detection Adaptive to Vehicle Surrounding Environments Measured by LiDAR Haruya Kyutoku, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide (Nagoya Univ.), Kazuki Kato (DENSO CORPORATION), Hiroshi Murase (Nagoya Univ.) BioX2017-48 PRMU2017-184 |
Results of pedestrian detectors from in-vehicle sensors still have room for improvement in real environments. Therefore... [more] |
BioX2017-48 PRMU2017-184 pp.73-78 |
|
| PRMU, BioX | 2018-03-18 16:10 |
Tokyo | Pedestrian Detection with Multi-level Deep Features Misaki Kodaira, Yu Wang, Jien Kato (Nagoya Univ.) BioX2017-52 PRMU2017-188 |
In this research, we aim to clarify effective application of CNN features in pedestrian detection. In the experiment, fe... [more] | BioX2017-52 PRMU2017-188 pp.97-102 |
|
| MSS, NLP (Joint) |
2018-03-13 11:10 |
Osaka | Accelerating Pedestrian Detection Using Convolutional Neural Network Naoya Koyama, Masaharu Adachi (Tokyo Denki Univ.) NLP2017-103 |
In recent years, pedestrian detection technologies become important in driving assistant systems. Pedestrian detection i... [more] | NLP2017-103 pp.9-12 |
|
| HPB (2nd) |
2018-02-21 11:35 |
Tokyo | A Basic Measurement of Wireless Communication Quality according to Distance of 2.4 GHz-band Radio Sensor Nodes Ren Adachi, Kouya Ishizawa, Youta Suzuki, Naoki Nonaka, Masayuki Iwai (TDU) |
Among minor traffic accidents in recent years, the number of the most casualties is the elementary school students from ... [more] | ||
| SANE | 2017-08-25 13:30 |
Osaka | OIT UMEDA Campus | Discrimination Method of Pedestrians and Cars by Broadband Radar with Narrow Receiver Bandwidth Kazuhiro Watanabe, Kenta Ishizaki, Manabu Akita, Takayuki Inaba (UEC) SANE2017-39 |
The authors have proposed a broadband radar system (stepped multiple frequency CPC radar) capable of multi-target separa... [more] | SANE2017-39 pp.59-64 |
| PRMU, CNR | 2017-02-18 14:35 |
Hokkaido | Part-aware CNN for Pedestrian Detection Cong Cao, Yu Wang, Jien Kato, Kenji Mase (Nagoya Univ.) PRMU2016-167 CNR2016-34 |
Pedestrian detection is a significant task in computer vision. In recent years, it is widely used in the applications su... [more] | PRMU2016-167 CNR2016-34 pp.87-90 |
|
| PRMU, IPSJ-CVIM, IBISML [detail] | 2016-09-05 09:00 |
Toyama | A Preliminarily Study on Multi-Frames Features for LIDAR-Based Pedestrian Detection Yoshiki Tatebe, Daisuke Deguchi, Yasutomo Kawanishi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.), Utsushi Sakai (DENSO) PRMU2016-57 IBISML2016-12 |
In this report, we study multi-frames features extracted by integrating point-clouds of LIDAR over multiple frames. We s... [more] | PRMU2016-57 IBISML2016-12 pp.19-24 |
|
| PRMU, IPSJ-CVIM, MVE [detail] | 2016-01-22 09:30 |
Osaka | A study on the detection of a pedestrian holding an umbrella with a Selective DPM Yuto Shimbo, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.) PRMU2015-123 MVE2015-45 |
In recent years, pedestrian detection from an in-vehicle camera has been attracting interest. However, in the case of a... [more] |
PRMU2015-123 MVE2015-45 pp.163-168 |
|
| RCC, ITS, WBS | 2015-12-17 13:30 |
Okinawa | Okinawa Industry Support Center | [Poster Presentation]
A Study on Pedestrian detection by RSSI Variability Analysis by using 24GHz radar Kota Iwanaga, Keiji Jimi, Masanobu Inoue, Yohei Ohishi, Isamu Matsunami (Kitakyushu Univ.) WBS2015-60 ITS2015-32 RCC2015-62 |
Radio wave radar can be used without the rain, at night even during performance deteriorated compared to the camera and ... [more] | WBS2015-60 ITS2015-32 RCC2015-62 pp.121-125 |
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