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All Technical Committee Conferences  (Searched in: All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 41 - 60 of 371 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
PN, NS, OCS
(Joint)
2023-06-08
17:05
Kagawa
(Primary: On-site, Secondary: Online)
[Invited Talk] Technology Development and Demosnstrations of Ultra Reliable and Low Latency 5G Vehicular Communication System -- Application to Automated Follower Truck Platooning --
Manabu Mikami, Hitoshi Yoshino, Katsuhiro Horiba (SoftBank) NS2023-28 OCS2023-14 PN2023-10
5G mobie operaters are required to establish new use cases for vertical industries and for slolving social issues, urgen... [more] NS2023-28 OCS2023-14 PN2023-10
pp.47-58(NS), pp.28-39(OCS), pp.28-39(PN)
MVE, IPSJ-HCI, IPSJ-EC, VRSJ, ITE-HI, HI-SIG-DeMO 2023-06-01
10:50
Tokyo
(Primary: On-site, Secondary: Online)
[Short Paper] Information indication method from around the windshield for driving support -- Analysis of the peripheral vision responsivity according to age --
Hideaki Takahira (Nagoya Univ.), Takatsugu Hirayama (Nagoya Univ./), Hiroshi Murase (Nagoya Univ.), Yusuke Ikeda (AGC) MVE2023-9
(To be available after the conference date) [more] MVE2023-9
pp.49-50
ICTSSL 2023-05-18
14:15
Niigata
(Primary: On-site, Secondary: Online)
On relation between the distribution of facility usage time and performance in charging while doing something of electric vehicles by autonomous driving
Mizuki Sakai, Kazuyuki Miyakita, Keisuke Nakano (Niigata Univ.) ICTSSL2023-4
(To be available after the conference date) [more] ICTSSL2023-4
pp.18-22
RCS 2023-04-13
15:00
Shimane Matsue New Urban Hotel, and online
(Primary: On-site, Secondary: Online)
[Invited Lecture] QoS Measurement for Remote Operation over 5G in Cooperative Automated Driving
Jin Nakazato, Manabu Tsukada (UTokyo) RCS2023-8
In recent years, significant progress has been made in the research and development of autonomous driving, with demonstr... [more] RCS2023-8
p.38
IMQ, IE, MVE, CQ
(Joint) [detail]
2023-03-15
09:45
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
Effects of road width changes on driving in a driving simulator
Masahiro Fukui, Takumi Takaku, Satoshi Nakamura (Meiji Univ.), Shota Yamanaka (Yahoo) IMQ2022-24 IE2022-101 MVE2022-54
For appropriate car navigation system, it is necessary to model the level of driving difficulty according to the road ge... [more] IMQ2022-24 IE2022-101 MVE2022-54
pp.32-37
IMQ, IE, MVE, CQ
(Joint) [detail]
2023-03-16
16:05
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
Automated Driving Methods Using Federated Learning
Koki Ono, Celimuge Wu, Tsutomu Yoshinaga (UEC) CQ2022-99
When learning autonomous driving behavior using machine learning, a huge amount of driving data is required, and a large... [more] CQ2022-99
pp.96-101
ITS, IEE-ITS 2023-03-13
15:55
Chiba Nihon Univ., Funabashi Campus
(Primary: On-site, Secondary: Online)
A pilot study on retention characteristics of In-lane driving position during normal driving
Ryohei Miyata, Yuji Matsuki (FIT) ITS2022-82
To prevent traffic accidents, it's crucial to address human factors that contribute to them. This can be achieved by mon... [more] ITS2022-82
pp.18-21
IN, NS
(Joint)
2023-03-02
10:40
Okinawa Okinawa Convention Centre + Online
(Primary: On-site, Secondary: Online)
A Study on Traffic Efficiency Effectiveness and Realization Cost of Cooperative Driving by Multi-layer Edge Computing
Yusuke Inagaki (UT), Akihiro Ogawa, Kenta Kuriyama, Yoshihisa Nagamura (SEI), Norihiro Fukumoto, Akihiro Nakao (UT) NS2022-177
In recent years, "cooperative driving", in which multiple vehicles acquire, coordinate and control their position inform... [more] NS2022-177
pp.59-64
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-03
09:20
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
3D Point Cloud based Object Recognition and Auto True-Value System Construction for Autonomous Driving
Bin Zhang, Congzhi Ren, Hun-ok Lim (KU) PRMU2022-100 IBISML2022-107
In this paper, an object recognition system based on 3D point cloud information is proposed and an automatic true value ... [more] PRMU2022-100 IBISML2022-107
pp.217-219
IN, NS
(Joint)
2023-03-02
13:10
Okinawa Okinawa Convention Centre + Online
(Primary: On-site, Secondary: Online)
Toward simulation evaluations of a dynamic convoy forming method using real map data
Koya Mitsuhira, Shinji Inoue, Tomoyuki Ohta (Hiroshima City Univ.) IN2022-78
In recent years, shortage of truck drivers has become a major problem in logistic industries. Convoy forming, which is o... [more] IN2022-78
pp.75-79
IN, NS
(Joint)
2023-03-02
14:20
Okinawa Okinawa Convention Centre + Online
(Primary: On-site, Secondary: Online)
A Method to Mitigate Traffic Congestion Using Cyber-Physical Systems in a Mixed Environment of Automated and Conventional Vehicles
Kijun Murata, Yuya Tanigami, Naoaki Yamanaka, Satoru Okamoto (Keio Univ) IN2022-84
In recent years,traffic congestion in Japan has become chronic due to a complex road network,increased traffic volume,an... [more] IN2022-84
pp.109-114
RCS, SR, SRW
(Joint)
2023-03-02
16:00
Tokyo Tokyo Institute of Technology, and Online
(Primary: On-site, Secondary: Online)
[Invited Talk] V2X Communication Technology for Cooperative Automated Driving
Manabu Tsukada (Univ. of Tokyo) RCS2022-279 SR2022-91 SRW2022-56
Automated driving technology is expected to play a central role in ITS technology to solve the problems of loss of human... [more] RCS2022-279 SR2022-91 SRW2022-56
p.183(RCS), p.42(SR), p.68(SRW)
SeMI, IPSJ-UBI, IPSJ-MBL 2023-03-01
15:30
Aichi
(Primary: On-site, Secondary: Online)
Effectiveness Verification of Riding Safety Support Information System on Bicycle
Masaki Noji, Tetsuya Manabe, Aya Kojima (Saitama Univ.) SeMI2022-111
This paper verifies the effect for riding safety support information system on bicycle. We build a function of restraini... [more] SeMI2022-111
pp.25-30
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-22
14:55
Hokkaido Hokkaido Univ. On Traffic Safety in Penetration Scenarios of Autonomous Vehicles and Vehicles Equipped with Alert-type Driver Assistance Systems
Masahiro Chiba, Takaaki Hasegawa (Saitama Univ.) ITS2022-74 IE2022-91
In this paper, with the purpose of achieving safety mobile society, we describe traffic safety in penetration scenarios ... [more] ITS2022-74 IE2022-91
pp.179-185
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-22
16:05
Hokkaido Hokkaido Univ. The Introduction of Activities of Mobility Service in Smart Mobility Challenge -- Smart Mobility Challenge in FY2022 --
Naohisa Hashimoto (AIST) ITS2022-78 IE2022-95
This report introduces the Smart Mobility Challenge, an initiative aimed at social implementation of mobility services. ... [more] ITS2022-78 IE2022-95
pp.204-207
NS, NWS
(Joint)
2023-01-26
16:50
Yamaguchi Hybrid Meeting (Yamaguchi Prefecture)
(Primary: On-site, Secondary: Online)
[Encouragement Talk] A Proposal of Multi-layer Edge Computing for Optimizing Cooperative Driving in Smart Cities
Yusuke Inagaki, Akihiro Nakao (UT) NS2022-161
Recently, "cooperative driving technology" in which multiple vehicles acquire, coordinate, and control their position in... [more] NS2022-161
pp.66-71
AP, WPT
(Joint)
2023-01-19
11:15
Hiroshima Hiroshima Institute of Technology
(Primary: On-site, Secondary: Online)
Multi-Input RNN Based Proactive Prediction of Path Loss using Building Information in UMa Environments
Motoharu Sasaki, Naoki Shibuya, Kenichi Kawamura, Nobuaki Kuno, Minoru Inomata, Wataru Yamada, Takatsune Moriyama (NTT) AP2022-180
We report a multi-input RNN model that predicts path loss after 5 seconds using GRU (Gated Recurrent Unit), which is one... [more] AP2022-180
pp.18-23
DC 2022-12-16
15:00
Yamaguchi
(Primary: On-site, Secondary: Online)
Learning of train control measures by means of Deep Q-Network -- Preliminary study with a single train control --
Shogo Igarashi, Takumi Fukuda, Sei Takahashi, Hideo Nakamura (Nihon Univ), Tetsuya Takata (Kyosan Electric Manufacturing) DC2022-77
Although the predictive fuzzy control technique has been put to practical use as a train control strategy for automatic ... [more] DC2022-77
pp.26-29
HCGSYMPO
(2nd)
2022-12-14
- 2022-12-16
Kagawa Onsite (Sunport Takamatsu) and Online
(Primary: On-site, Secondary: Online)
Driver Characteristics Estimation Using Real Driving Data
Ryusei Kimura (JAIST), Takahiro Tanaka (Nagoya Univ.), Shogo Okada (JAIST)
This study aims to predict individual driver characteristics from driving data to realize a driver assistance system tha... [more]
RCC, ITS, WBS 2022-12-14
10:40
Shiga Ritsumeikan Univ. BKC
(Primary: On-site, Secondary: Online)
A Study on Identification of Bicycle Riding Environment by Image Segmentation and Transfer Learning
Hiroaki Arai, Tetsuya Manabe (Saitama Univ.) WBS2022-54 ITS2022-30 RCC2022-54
This paper examines the identification of the bicycle riding environment by image segmentation and transfer learning. W... [more] WBS2022-54 ITS2022-30 RCC2022-54
pp.108-113
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