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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ICTSSL, CAS | 2024-01-25 09:55 |
Kanagawa | (Primary: On-site, Secondary: Online) |
A Note on Prediction Method for Road Surface Condition by LSTM Using Time Series Data in Winter Roads Kenta Motosaka, Kota Uenishi, Masahiro Yagi, Sho Takahashi, Toru Hagiwara (Hokkaido Univ.)  CAS2023-83 ICTSSL2023-36 |
In snowy and cold regions, road surfaces change with snowfall, causing traffic accidents. If the road administrator ca... [more] | CAS2023-83 ICTSSL2023-36 pp.5-10 |
| 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 |
| IA | 2021-09-08 13:50 |
Online | Online | Development and Evaluation of a Wide-Area Road Surface and Snow Condition Observation System utilizing Traveling Sensing by LiDAR Ryota Akiyama, Hiroshi Yamamoto (Ritsumei Univ.), Yoshinori Kitatsuji (KDDI Research, Inc.) IA2021-21 |
In order to improve the efficiency of the snow removal activity in heavy snowfall areas, the measurement of the snow de... [more] |
IA2021-21 pp.42-48 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2021-02-19 14:05 |
Online | Online | [Special Talk]
A Note on Discrimination of Road Surface Conditions Based on Deep Learning Using Road Images Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we study the discrimination of road surface conditions based on deep learning using images captured by fi... [more] | |
| IBISML | 2020-10-20 10:50 |
Online | Online | System operation for estimation of road condition using tire vibration data Satoru Kawamata (Bridgestone), Tomoko Matsui (ISM), Mitsuhiro Nishida, Takeshi Masago (Bridgestone) IBISML2020-10 |
In a system that estimates the road surface condition from tire sensor data and supports safe driving, it is crucial to ... [more] | IBISML2020-10 pp.14-19 |
| PRMU | 2019-10-18 15:05 |
Tokyo | Study of Recognizing Road Surface Conditions using Deep Learning Applied for RGBD images Obtained from an Environmental Monitoring Robot
-- Comparative Studies of SegNet-Basic and ENet as well as Height and Surface Curvature Features -- Takuya Hayashi, Takeo Kaneko, Junya Morimoto (Waseda Univ.), Junji Yamato (Kogakuin Univ.), Hiroyuki Ishii, Jun Ohya, Atsuo Takanishi (Waseda Univ.) PRMU2019-39 |
An environmental monitoring robot that moves safely and autonomously needs a function to recognize the state of the grou... [more] | PRMU2019-39 pp.41-46 |
|
| LOIS | 2017-03-02 10:00 |
Okinawa | N.Ohama Memorial Hall | A prediction of emergency walking evacuation times for various road environments Katsuyoshi Tanabe, Miki Shimabukuro, Mina Uehara, Mikiko Kin, Sadayoshi Futo (Meio Univ.) LOIS2016-65 |
In this research we report a method for calculating and displaying candidate emergency evacuation routes and their assoc... [more] | LOIS2016-65 pp.19-24 |
| ITS, IE, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2016-02-23 12:15 |
Hokkaido | Hokkaido Univ. | Analysis of ABS data in snowly cold region Takahiro Endo, Hajime Imura, Yuzuru Tanaka (Hokkaido Univ.) ITS2015-82 IE2015-124 |
We analyze Antilock Brake System (ABS) data collected during winter season in a snowy cold region to indicate the correl... [more] | ITS2015-82 IE2015-124 pp.275-279 |
| EA, US (Joint) |
2009-01-30 10:10 |
Kyoto | Automatic Detection of Road Surface Conditions using Tire Noise from Vehicles Wuttiwat Kongrattanaprasert, Hideyuki Nomura, Tomoo Kamakura (Univ. of Electro-Comm.), Koji Ueda (Nagoya Electric) EA2008-125 |
This paper proposes a new method for automatically detecting the states of the road surface from tire noises of vehicles... [more] | EA2008-125 pp.55-60 |
|
| EA, US (Joint) |
2008-01-29 15:45 |
Osaka | Kansai University | Detection of Road Surface Conditions using Automobile Tire Sounds Wuttiwat Kongrattanaprasert, Hideyuki Nomura, Tomoo Kamakura (Electro-Comm. Univ.), Koji Ueda (Nagoya Electric) EA2007-111 |
Information about road surface conditions is important and helpful for road users such as automobile drivers, especially... [more] | EA2007-111 pp.59-64 |
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