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 Results 1 - 20 of 56  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
PRMU, BioX 2015-03-19
11:00
Kanagawa   A Study on Efficient Pedestrian Detection by Combining CNN and SVM.
Takuma Saito, Yuji Waizumi, Kazuyuki Tanaka (Tohoku Univ.) BioX2014-46 PRMU2014-166
Detecting pedestrian in real time is challenging problem for application to road safety. For high-accuracy and high-spee... [more] BioX2014-46 PRMU2014-166
pp.41-46
PRMU, BioX 2015-03-20
11:00
Kanagawa   A study on construction of pedestrian detectors adaptive to driving environment referring to false positive tendency
Yuki Suzuki, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.) BioX2014-67 PRMU2014-187
Recently, safety driving assistance systems using an in-vehicle camera have been studied actively. In particular, since ... [more] BioX2014-67 PRMU2014-187
pp.171-176
 Results 1 - 20 of 56  /  [Next]  
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