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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 29  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIP, SP, EA, IPSJ-SLP [detail] 2024-03-01
16:05
Okinawa
(Primary: On-site, Secondary: Online)
Evaluating speech generation based on objective measures for text generation
Takaaki Saeki (UTokyo), Soumi Maiti (CMU), Shinnosuke Takamichi (UTokyo), Shinji Watanabe (CMU), Hiroshi Saruwatari (UTokyo) EA2023-133 SIP2023-180 SP2023-115
In the evaluation of speech generation, while subjective judgments have long been the gold standard, objective metrics s... [more] EA2023-133 SIP2023-180 SP2023-115
pp.421-426
EID, ITE-IDY, IEE-EDD, SID-JC, IEIJ-SSL [detail] 2024-01-26
09:25
Kyoto
(Primary: On-site, Secondary: Online)
Design for micro-LED driving IC
Ryoma Matsuno, Zhongzheng Xiao, Rikuto Murayama, Reiji Hattori (Kyushu Univ.) EID2023-13
Recent developments in microLED display technology focus on a method that equips each pixel with a single microIC. Minia... [more] EID2023-13
pp.45-48
ITS, WBS, RCC 2023-12-22
11:45
Okinawa
(Primary: On-site, Secondary: Online)
Study on Simulation for Safety Verification in Automated Bus Driving
Hyo Okawa, Jeyeon Kim (NITTC), Yanbin Wu, Kouya Takahashi, Toru Kumagai, Naohisa Hashimoto (AIST) WBS2023-55 ITS2023-38 RCC2023-49
Safety verification under real-world conditions in automated driving involves various problems such as cost and physical... [more] WBS2023-55 ITS2023-38 RCC2023-49
pp.138-143
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
HCS 2022-08-27
14:00
Hyogo
(Primary: On-site, Secondary: Online)
Increasing Commitment through the Suggesting of the Problem Solving Space from the Agents in Level 3 Autonomous Driving
Nanaka Itakura, Ohmoto Yoshimasa (Shizuoka Univ.) HCS2022-45
While automated driving technology develops, it is conceivable that humans may impose responsibility on cars. In this st... [more] HCS2022-45
pp.50-54
RCS 2022-06-16
10:45
Okinawa University of the Ryukyus, Senbaru Campus and online
(Primary: On-site, Secondary: Online)
Study on performance improvement of early hybrid automatic repeat request method on 5G URLLC using adaptive modulation and coding
Kyosuke Sano, Akira Hasegawa, Eiji Okamoto (NITech), Manabu Mikami, Hitoshi Yoshino (SoftBank) RCS2022-45
Ultra-reliable and low latency communications (URLLC) is one of the key scenarios for the 5th generation mobile communic... [more] RCS2022-45
pp.126-131
PRMU, IPSJ-CVIM 2022-05-13
10:30
Aichi Toyota Technological Institute Visualization of Decision Rationale Using Social and Physical Attention Mechanisms in Human Trajectory Prediction Model
Masahiro Kato, Norimichi Ukita (TTI) PRMU2022-3
There is a great deal of interest in explainable AI that clarifies the basis of decisions, such as why a model makes a p... [more] PRMU2022-3
pp.12-17
ITS, IEE-ITS 2022-03-11
13:50
Online Online Automatic Path Following Control for Four-wheeled Cars Based on Just-In-Time Modeling Considering Road Surface ConditionsAutomatic Path Following Control for Four-wheeled Cars Based on Just-In-Time Modeling Considering Road Surface Conditions
Kazuki Fukawa, Tatsuya Kai (Tokyo Univ. of Science) ITS2021-68
This study derives an automatic path following control method so that a four-wheeled car model can follow a sequence of ... [more] ITS2021-68
pp.28-33
CAS, CS 2022-03-04
10:30
Online Online Automatic Path Following Control and Experimental Verification for Mobile Robots Based on Just-In-Time Modeling
Shoichi Miyagaitsu, Tatsuya Kai (Tokyo Univ. of Science) CAS2021-89 CS2021-91
The purpose of this study is to develop a new data-driven control method based on just-in-time modeling for the automati... [more] CAS2021-89 CS2021-91
pp.81-86
EA, SIP, SP, IPSJ-SLP [detail] 2022-03-02
15:35
Okinawa
(Primary: On-site, Secondary: Online)
[Poster Presentation] Effective Features for Detecting Abnormal Braking from Electroencephalogram and Electrocardiogram during Automatic Driving
Erika Sekiguchi, Toshihisa Tanaka (TUAT), Ken Kubota (JATCO Engineering), Shun Nakamura (CorLab), Kenichi Makita (JATCO) EA2021-94 SIP2021-121 SP2021-79
Although automated driving technology is advancing rapidly, the main objective of the development is to ensure safety. H... [more] EA2021-94 SIP2021-121 SP2021-79
pp.189-194
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2021-06-28
14:55
Online Online Development of Automatic Driving Methods for Moving Bodies Based on the Just-In-time Control Method
Tatsuya Kai (Tokyo Univ. of Science), Ryouhei Kakurai (TOTO LTD.), Kazuki Fukawa, Shouichi Miyagaitsu (Tokyo Univ. of Science) NC2021-5 IBISML2021-5
This study is devoted to development of automatic driving methods for moving bodies such as cars and multicopters based ... [more] NC2021-5 IBISML2021-5
pp.31-38
RCS 2021-06-23
10:10
Online Online A Study on Throughput Improvement of Adaptive Modulation and Coding based HARQ in 5G URLLC
Akira Hasegawa, Eiji Okamoto (NIT), Manabu Mikami, Hitoshi Yoshino (SoftBank corp.) RCS2021-33
Ultra-reliable and low latency communications (URLLC) is one of the main scenarios for the 5th generation mobile communi... [more] RCS2021-33
pp.25-30
DC 2020-12-11
13:40
Hyogo
(Primary: On-site, Secondary: Online)
Study of Deep Learning based Object Detection for Automatic Train Operation in Railways
Shiva Krishna Maheshuni (UTokyo), Shimura Takahiro, Yabuki Kohei, Hasegawa Takumi (Kyosan Electric Mfg), Takeshi Mizuma (UTokyo) DC2020-61
Real time object detection is already being implemented in systems like autonomous driving in cars, surveillance Cameras... [more] DC2020-61
pp.12-17
SRW, SeMI, CNR
(Joint)
2020-11-26
17:20
Online Online [Poster Presentation] A Study of Reinforcement Learning-Based Automatic Driving Control Using Information of Neighboring Vehicles through Inter-vehicle Communication
Harada Tomohiro (TMU), Kiyohiko Hattori (TUT) SeMI2020-34
In recent years, with improvements in AI technology and sensor performance, research on automated driving has become ver... [more] SeMI2020-34
p.75
ITS, IEE-ITS, IPSJ-ITS 2019-09-06
15:25
Tokyo SUNNY Rental Conf. Room A Just-in-time Modeling Approach to Automatic Path Tracking Control for Cars
Mayu Nobumiya, Tatsuya Kai (Tokyo Univ. of Science) ITS2019-11
This study proposes a new automatic path tracking control method for cars based on just-im-time modeling. The purpose is... [more] ITS2019-11
pp.55-59
AP, WPT
(Joint)
2018-01-18
15:30
Nara ATR Experimental Study on High Efficiency Electric Coupled Wireless Charging System Utilizing Auto Parking Function in Electrical Vehicles
Koichi Tsunekawa, Takushi Kojima, Miyuki Oomi (Chubu Univ.) AP2017-158 WPT2017-61
We have proposed a simple and highly efficient wireless charging system for electric vehicles (EV) using its auto parkin... [more] AP2017-158 WPT2017-61
pp.43-46(AP), pp.31-34(WPT)
AP 2017-10-20
14:25
Aomori Hchinohe-Shoukou-Kaikan A study on an auto parking system that improves efficiency of electric field coupling type wireless charging in electrical vehicles
Koichi Tsunekawa, Takushi Kojima, Miyuki Oomi (Chubu Univ.) AP2017-105
We have proposed a simple and highly efficient wireless charging system for electric vehicles (EV) using its auto parkin... [more] AP2017-105
pp.57-60
SANE 2017-08-25
14:20
Osaka OIT UMEDA Campus Study on Simple Imaging by Squint-mode SAR with Millimeter Wave Automotive Radar
Takumi Kobayashi, Hiroyoshi Yamada, Shogo Muramatsu (Niigata Univ.), Yuuichi Sugiyama (FUJITSU TEN), Yoshio Yamaguchi (Niigata Univ.) SANE2017-41
An application of various sensors for a automobile is studied to realize safety automatic driving technology. A millimet... [more] SANE2017-41
pp.71-76
AP 2017-03-17
14:25
Iwate Iwate Univ. Experimental Study on Synthetic Aperture Radar Imaging for Millimeter Wave Automotive Radar
Yusuke Kobayashi, Jun Minotani, Hiroyoshi Yamada, Yoshio Yamaguchi (Niigata Univ.), Yuuichi Sugiyama (Fujitsu TEN) AP2016-197
In recent years, automatic driving technologies of vehicles as well as advanced safety driving technology have been wide... [more] AP2016-197
pp.109-114
CAS, CS 2017-02-24
15:35
Shiga   Experimental evaluation of the effect of transmission quality on remote real-time control via communication network
Hisaya Hadama, Kazumasa Goto, Masaki Minagawa, Kenta Nagasaki, Ryohei Nakamura (NDA) CAS2016-134 CS2016-95
Self-driving techniques for automobiles are expected to play important roles in near future. Even for small unmanned veh... [more] CAS2016-134 CS2016-95
pp.111-116
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