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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SeMI, IPSJ-UBI, IPSJ-MBL | 2024-02-29 15:30 |
Fukuoka | Onga River Management Using LPWA Masayoshi Ohashi, Takumi Tsuno, Ryunosuke Watanabe, Makoto Misumi, Shintaro Mori (Fukuoka Univ.), Koki Ozono, Hiroki Muramasu (Advantech), Ryuji Yonezawa (Nogata City)  SeMI2023-76 |
In recent years, record-breaking rainfalls and typhoons have been occurring in many parts of Japan due to global warming... [more] | SeMI2023-76 pp.31-36 |
|
| ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2024-02-20 15:45 |
Hokkaido | Hokkaido Univ. | On Accidents Reduction Effects in Penetration Scenarios for Autonomous Emergency Braking Systems Masahiro Chiba, Takaaki Hasegawa (Saitama Univ.) ITS2023-77 IE2023-66 |
This paper describes the relationship between traffic safety and penetration of Autonomous Vehicles (AVs) as well as veh... [more] | ITS2023-77 IE2023-66 pp.169-176 |
| SS, MSS | 2024-01-18 11:05 |
Ishikawa | (Primary: On-site, Secondary: Online) |
Preliminary Study on Driver Drowsiness Detection with Deep Learning Using Vehicular Data Yutaro Nakagama, Daisuke Ishii (JAIST), Kazuki Yoshizoe (Kyushu Univ.) MSS2023-63 SS2023-42 |
Driver drowsiness detection (DDD) systems are being developed to prevent accidents caused by the distraction of automobi... [more] | MSS2023-63 SS2023-42 pp.64-69 |
| SDM, ICD, ITE-IST [detail] | 2023-08-03 14:40 |
Hokkaido | Hokkaido Univ. Multimedia Education Bldg. 3F (Primary: On-site, Secondary: Online) |
Real-Time Gate Current Change Gate Driver IC to Adapt to Operating Condition Variations of SiC MOSFETs Dibo Zhang, Kohei Horii, Katsuhiro Hata, Makoto Takamiya (UTokyo) SDM2023-52 ICD2023-31 |
A digital gate driver IC with real-time gate current (IG) change by sensing drain current (ID) is applied to SiC MOSFETs... [more] | SDM2023-52 ICD2023-31 pp.70-73 |
| ITS | 2023-07-14 14:55 |
Gunma | Gunma Univ. (Aramaki) (Primary: On-site, Secondary: Online) |
On the Relationship between Sensing Radius and Accident Reduction Effects of Alert-type Driver Assistance Systems Masahiro Chiba, Takaaki Hasegawa (Saitama Univ.) ITS2023-6 |
This paper describes the effects of drivers’ reaction delays, the sensing radius, the V2V communication radius, and the ... [more] | ITS2023-6 pp.30-39 |
| SeMI, IPSJ-ITS, IPSJ-MBL, IPSJ-DPS | 2023-05-19 16:35 |
Okinawa | Okinawa Institute of Science and Technology (OIST) (Primary: On-site, Secondary: Online) |
Towards Improving the Generalization Performance of a Face Texture Analysis AI System for Predicting Driver Drowsiness Tomoya Kubo, Tomoyuki Yokogawa, Kazutami arimoto, Masaki Hokari (Okayama Prefectural Univ.), Isao Kayano (Kawasaki University of Medical) SeMI2023-20 |
We are currently developing a Face Texture Analysis AI system that predicts driver drowsiness based on the overall impre... [more] | SeMI2023-20 pp.94-98 |
| 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 |
| 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] | |
| SWIM | 2022-11-26 14:15 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Proposal for Small and Medium River Flood Warning System Using Big Data Tsukasa Kudo, Ryunosuke Hosaka (SIST) SWIM2022-21 |
Recently, floods in small and medium-sized rivers have been increasing due to extreme weather conditions. It is importan... [more] | SWIM2022-21 pp.2-9 |
| NS, ICM, CQ, NV (Joint) |
2022-11-25 13:45 |
Fukuoka | Humanities and Social Sciences Center, Fukuoka Univ. + Online (Primary: On-site, Secondary: Online) |
[Invited Talk]
R&D acrivities of water flow measurement and control of Onga river basin using LPWA Masayoshi Ohashi (Fukuoka Univ.), Shintaro Mori, Makoto Misumi (ukuoka Univ.), Hiroki Muramasu (Advantec) NS2022-124 CQ2022-57 ICM2022-27 |
In this article, we will report on the status of research and development on water level and direction sensing and remot... [more] | NS2022-124 CQ2022-57 ICM2022-27 pp.133-134(NS), pp.54-55(CQ), pp.27-28(ICM) |
| SRW, SeMI, CNR (Joint) |
2022-11-25 15:05 |
Tochigi | Epinard Nasu (Primary: On-site, Secondary: Online) |
[Poster Presentation]
A Prototype of IoT-based River Flood Monitoring and Evaluation
-- MQTT Brokers Connected in Tandem -- Yoshiyuki Shinji, Kohei Shiomoto (TCU) SRW2022-33 SeMI2022-68 CNR2022-26 |
The developing countries in Southeast Asia are constantly exposed to the risk of river floods during typhoons and cyclon... [more] | SRW2022-33 SeMI2022-68 CNR2022-26 pp.54-57(SRW), pp.70-73(SeMI), pp.39-42(CNR) |
| ITE-ME, EMM, IE, LOIS, IEE-CMN, IPSJ-AVM [detail] | 2022-09-13 15:30 |
Online | Keio Univ. Yagami Campus (Hybrid) (Primary: Online, Secondary: On-site) |
The efficient AI System for Rating Facial Expressions for the purpose of Predicting Drivers Sleepiness Tomoya Kubo (Okayama Prefectural Univ. Graduate School), Kazutami Arimoto, Tomoyuki Yokogawa, Masaki Hokari (Okayama Prefectural Univ.), Isao Kayano (Kawasaki Univ. of Medical Welfare), Kagehisa Kajiwara (MURAKAMI CORPORATION) LOIS2022-13 IE2022-35 EMM2022-41 |
In a driver monitoring system, a 3D convolutional neural network (3D CNN) has been used as a neural network (NN) to eval... [more] | LOIS2022-13 IE2022-35 EMM2022-41 pp.19-24 |
| ICD, SDM, ITE-IST [detail] | 2022-08-08 14:40 |
Online | Sub-50-mV Input Voltage Boost Converter for Extremely Low-Voltage Thermal Energy Harvesting Hikaru Sebe, Daisuke Kanemoto, Tetsuya Hirose (Osaka Univ.) SDM2022-39 ICD2022-7 |
We propose a voltage boost converter for sub-50-mV thermal energy harvesting. The proposed converter consists of charge ... [more] | SDM2022-39 ICD2022-7 pp.21-26 |
|
| ITS | 2022-07-15 14:15 |
Fukuoka | Fukuoka Univ. (Primary: On-site, Secondary: Online) |
On the Influence of Drivers' Reaction Delays on Safety Performances of Alert-type Driver Assistance Systems Based on Sensors/V2V Communications Masahiro Chiba, Takaaki Hasegawa (Saitama Univ.) ITS2022-4 |
This paper describes the influence of drivers’ reaction delays on safety performances of alert-type driver assistance sy... [more] | ITS2022-4 pp.15-20 |
| ITS, IEE-ITS | 2022-03-11 14:15 |
Online | Online | Modeling Right-Turn Driver Behaviour at the Intersection using Reingforcement Learning Aiichiro Iseki, Tomohiro Kamito, Yuji Matsuki (FIT) ITS2021-69 |
In this study, we developed a driver model that reflects the characteristics of a driver using reinforcement learning to... [more] | ITS2021-69 pp.34-37 |
| ITS, IEE-ITS | 2022-03-11 16:10 |
Online | Online | On Accidents Reduction Effects of Sensor/V2V Communication Based Driver Assistance Systems and Autonomous Vehicles
-- Relationship between Penetration Ratio and Safety Performance -- Masahiro Chiba, Takaaki Hasegawa (Saitama Univ.) ITS2021-73 |
This paper describes the accidents reduction effects of autonomous vehicles and alert type driver assistance system equi... [more] | ITS2021-73 pp.54-59 |
| MBE, NC (Joint) |
2022-03-03 10:20 |
Online | Online | Proposal of drowsiness detection from multimodal biosignals using t-SNE Takumi Nomura, Shin'ichiro Kanoh (SIT) MBE2021-94 |
The method to detect drowsiness from electroencephalogram (EEG), electrocardiogram (ECG), and electroretinogram (EOG) wh... [more] | MBE2021-94 pp.31-34 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 16:00 |
Online | Online | Analysis of Functional Connectivity of EEG during Driving Masahiro Tsurushima, Sou Nobukawa (ChibaTech), Nobuhiko Wagatsuma (Toho Univ.), Inagaki Keiichiro (Chubu Univ.) NC2021-35 |
It is desirable to elucidate the functional whole brain network related to driving proficiency. In a previous study, we ... [more] | NC2021-35 pp.24-29 |
| HIP | 2021-10-22 13:35 |
Online | Online | A saliency estimation model for drivers' egocentric vision movies considering self-motion velocity Yuya Homma, Masashi Fujita, Takeshi Kohama (Kindai Univ.) HIP2021-44 |
In order to predict where a driver’s attention should be directed during driving, Kodama et al. have developed a salienc... [more] | HIP2021-44 pp.75-80 |
| ICTSSL | 2021-07-08 13:35 |
Online | Online | Day and night situational awareness of irrigation canals and rivers using microbolometer array sensors and transfer learning Yuxuan Wang, Yuta Miura, Naoshi Eshita, Tsubasa Saito, Yuichi Sato (Akita Univ.) ICTSSL2021-8 |
It is important to monitor the conditions of irrigation canals and rivers under the same conditions and recognize their ... [more] | ICTSSL2021-8 pp.1-5 |
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