Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Yukimasa Tamatsu"'
Autor:
Xing Liu, Yoshihiro Hirohashi, Kenichi Narioka, Masanori Suganuma, Takayuki Okatani, Yukimasa Tamatsu
Publikováno v:
CVPR Workshops
One of the practical problems with surrounding view cameras (SMCs) of a vehicle is the degradation of image quality due to obstacles by substances adherent to their lens surface, such as raindrops and mud. Such image degradation could be improved by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0934734840603893a018f87c63aa1f9c
https://doi.org/10.1109/cvprw50498.2020.00115
https://doi.org/10.1109/cvprw50498.2020.00115
Autor:
Yosuke Oyama, Hiroki Nishimura, Satoshi Matsuoka, Akihiro Nomura, Ikuro Sato, Yukimasa Tamatsu
Publikováno v:
IEEE BigData
Many studies have shown that Deep Convolutional Neural Networks (DCNNs) exhibit great accuracies given large training datasets in image recognition tasks. Optimization technique known as asynchronous mini-batch Stochastic Gradient Descent (SGD) is wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4341845040e303d85d310ae02837543
https://doi.org/10.1109/bigdata.2016.7840590
https://doi.org/10.1109/bigdata.2016.7840590
Autor:
Yukimasa Tamatsu, Hiroshi Murase, Yoshito Mekada, Fumika Kimura, Ichiro Ide, Tomokazu Takahashi
Publikováno v:
IEEJ Transactions on Electronics, Information and Systems. 130:1034-1041
We propose a method to recognize the visibility of traffic signals from a driver’s perspective. The more that driver assistance systems are equipped for practical use, the more information that is being provided for drivers. So each information pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ef3ae2c039945cb250529b75b5a31ac
https://doi.org/10.1541/ieejeiss.130.1034
https://doi.org/10.1541/ieejeiss.130.1034
Autor:
Yukimasa Tamatsu, Keisuke Doman, Tomokazu Takahashi, Yoshito Mekada, Hiroshi Murase, Ichiro Ide, Daisuke Deguchi
Publikováno v:
Intelligent Vehicles Symposium
We propose a visibility estimation method for traffic signs as part of work for realization of nuisance-free driving safety support systems. Recently, the number of driving safety support systems in a car has been increasing. As a result, it is becom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1060b9a77195c38e3fac9c7f39aeba50
https://nagoya.repo.nii.ac.jp/records/12602
https://nagoya.repo.nii.ac.jp/records/12602
Publikováno v:
IEEJ Transactions on Electronics, Information and Systems. 129:893-900
A technique for recognizing traffic signs from an image taken with an in-vehicle camera has already been proposed as driver's drive assist. SIFT feature is used for traffic sign recognition, because it is robust to changes in scaling and rotating of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9c286888ca74ed104f791c926e0ab50
https://doi.org/10.1541/ieejeiss.129.893
https://doi.org/10.1541/ieejeiss.129.893
Publikováno v:
Advanced robotics. 23(14):1831-1848
This paper describes the gaze guidance with emotional expression of a head robot, called Kamin-FA1. We propose to use not only the gaze control of the robot, but also the facial expression to guide a human being's gaze to the target. We provide the i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fef08fb4e44a0705648be649f48a2568
https://soar-ir.repo.nii.ac.jp/records/11447
https://soar-ir.repo.nii.ac.jp/records/11447
Publikováno v:
Journal of Japan Society of Kansei Engineering. 7:791-796
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a97559ab3516aa5529826a320dc9a2e
https://doi.org/10.5057/jjske2001.7.791
https://doi.org/10.5057/jjske2001.7.791
Autor:
Yukimasa Tamatsu, Naoki Nitanda
Publikováno v:
Encyclopedia of Automotive Engineering
Image recognition technology used in driver assistance systems can be categorized into viewing cameras for displaying images from around the vehicle and sensing cameras that detect the driving environment using image recognition technology. This fiel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae5465fbc2032c1597d9e6e83ee58c92
https://doi.org/10.1002/9781118354179.auto224
https://doi.org/10.1002/9781118354179.auto224
Autor:
Hiroshi Murase, Yukimasa Tamatsu, Keisuke Domany, Ryuhei Sato, Yoshito Mekada, Daisuke Deguchi, Ichiro Ide
Publikováno v:
ITSC
The aim of this work is to support a driver by notifying the information of traffic signals in accordance with their visibility. To avoid traffic accidents, the driver should detect and recognize surrounding objects, especially traffic signals. Howev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa73072aa8077216025b15b093a7aad0
https://doi.org/10.1109/itsc.2012.6338838
https://doi.org/10.1109/itsc.2012.6338838
Publikováno v:
Intelligent Vehicles Symposium
In this paper, we propose a novel approach to deal influence of own vehicle behavior to driving scene which called “interactions” with surrounding traffic participants. Recently, various advanced driver-assistance systems (ADAS) have been propose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2337d9dadf33ea53b13740258163f6fc
https://doi.org/10.1109/ivs.2011.5940542
https://doi.org/10.1109/ivs.2011.5940542