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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-03 10:35 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
A Basic Study on Automated Camera Selection for Vehicle Localization using Scene Recognition Features Haruya Kyutoku (Aichi Univ. of Tech./Toyota Tech. Inst.), Tokihiko Akita, Seiichi Mita (Toyota Tech. Inst.)  PRMU2022-108 IBISML2022-115 |
The ego-vehicle localization using in-vehicle cameras based on database matching requires sufficient information from bo... [more] | PRMU2022-108 IBISML2022-115 pp.260-265 |
| PRMU | 2021-08-26 10:30 |
Online | Online | Environment suitable camera selector for vehicle localization based on database matching Haruya Kyutoku, Tokihiko Akita, Seiichi Mita (Toyota Tech. Inst.) PRMU2021-9 |
It is necessary to be able to acquire sufficient information from both the input and the database data for the ego-vehic... [more] | PRMU2021-9 pp.13-18 |
| PRMU, IPSJ-CVIM | 2021-03-05 16:40 |
Online | Online | A Basic Study on Automated Data Labeling for Machine Learning-based Local Image Features Matcher Haruya Kyutoku, Tokihiko Akita, Seiichi Mita (Toyota Tech. Inst.) PRMU2020-101 |
Recently, local feature extraction and making correspondence methods based on machine learning have been proposed. Howe... [more] |
PRMU2020-101 pp.181-186 |
| PRMU, IPSJ-CVIM | 2020-03-16 10:30 |
Kyoto | (Cancelled but technical report was issued) |
A Basic Study on Epipolar Geometry-based Ego-localization under Variable Illumination Conditions using a Far Infrared Camera Haruya Kyutoku, Tokihiko Akita, Seiichi Mita (Toyota Tech. Inst.) PRMU2019-68 |
Recently, advanced driving support systems and autonomous driving systems have attracted attention. Ego-localization is... [more] |
PRMU2019-68 pp.15-20 |
| ITS, IEE-ITS | 2016-03-10 10:00 |
Kyoto | Kyoto Univ. | An Experimental Study; Wheelchair Navigation Control by Gesture for elderly Ali Boyali (TTI), Naohisa Hashimoto, Yusuke Takinami (AIST), Seiichi Mita (TTI) ITS2015-84 |
[more] | ITS2015-84 pp.1-4 |
| ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] | 2014-02-18 09:50 |
Hokkaido | Hokkaido Univ. | Road lane marking detection using phase information Yuichi Kumagaya, Keisuke Yoneda, Chenxi Yang, Seiichi Mita (Toyota Technological Inst.) ITS2013-52 IE2013-117 |
Robust detection of road lane markings (white line) is an important theme for Intelligent Transport Systems (ITS) especi... [more] | ITS2013-52 IE2013-117 pp.129-134 |
| IT | 2012-07-19 17:10 |
Aichi | Toyota Technological Institute | [Invited Talk]
My Experiences on Hi-Tech Product Development about Recording and Storage devices Seiichi Mita (Toyota Technological Institute) IT2012-16 |
This paper describes a history of development about recording and storage devices though my experiences. Both devices ... [more] |
IT2012-16 pp.43-49 |
| MRIS, ITE-MMS | 2011-12-15 14:15 |
Ehime | Ehime Univ. | A novel error correction strategy of Reed-Solomon binary image for magnetic recording channel Vo Tam Van, Seiichi Mita (Toyota Technological Inst.) MR2011-27 |
[more] | MR2011-27 pp.15-20 |
| MRIS, ITE-MMS | 2011-03-11 14:35 |
Aichi | Nagoya Univ. | Decoding Method for Voronoi Based Discrete Grain Model Fumiya Haga, Seiichi Mita (TTI) MR2010-59 |
In order to construct an effective R/W signal processing for shingled write recording (SWR), we have checked the perform... [more] | MR2010-59 pp.19-26 |
| ITE-AIT, IE, ITE-HI, ITE-ME, ITS | 2010-02-16 16:15 |
Hokkaido | Graduate School of Information and Technology, Hokkaido Univ. | Vehicle Tracking Using Deformable Model and Particle Filter Akihiro Takeuchi, Seiichi Mita (Toyota Technological Inst.) ITS2009-84 IE2009-178 |
In this paper, we propose the method for vehicle detection and tracking using vehicle mounted cameras. Our method learns... [more] | ITS2009-84 IE2009-178 pp.269-274 |
| ITE-MMS, MRIS | 2009-12-10 15:45 |
Ehime | Ehime Univ. | Reduction of bit error rate due to inter-track interference by iterative use of its adaptive estimation and log likelihood ratios of neighboring tracks Seiichi Mita (Toyota Technological Inst.) MR2009-42 |
We have proposed a novel method to reduce errors caused by inter-track interference (ITI) and inter-symbol interference ... [more] | MR2009-42 pp.35-42 |
| MRIS, ITE-MMS | 2008-12-11 15:50 |
Ehime | Ehime University | Analysis of perpendicular magnetic recording signal distribution and its separation by hyper-plane Seiichi Mita, Fumiya Haga (Toyota Technological Inst.) MR2008-42 |
We have checked the log likelihood ratio distributions of perpendicular magnetic recording signal at a error rate of app... [more] | MR2008-42 pp.25-30 |
| IEE-CMN, ITE-ME, CQ, LOIS, IE | 2008-09-25 16:00 |
Kagawa | General Trainning Center at Shikoku Electric Power Co.,inc | Shape similarrity retrieval method based on centroid and modified shape context Eiji Yoshida, Seiichi Mita (TTI) CQ2008-35 OIS2008-38 IE2008-60 |
[more] | CQ2008-35 OIS2008-38 IE2008-60 pp.51-56 |
| IT | 2008-09-12 09:05 |
Okinawa | Culture Resort Festone (Okinawa) | On a class of generalized quasi-cyclic codes coming from finite geometries
-- Their systematic encoding and Grobner basis -- Hajime Matsui, Vo Tam Van, Seiichi Mita (Toyota Tech. Inst.) IT2008-30 |
[more] | IT2008-30 pp.61-66 |
| PRMU, HIP | 2007-09-04 09:00 |
Aichi | Nagoya Univ. | Invariant codes for similar transformations and its application to Shape Matching Eiji Yoshida, Seiichi Mita (TTI) PRMU2007-73 HIP2007-82 |
[more] | PRMU2007-73 HIP2007-82 pp.161-166 |
| NC | 2007-07-25 11:00 |
Kyoto | Kyoto Univ. | Some properties of Quaternion Neural Network Eiji Yoshida, Seiichi Mita (TTI) NC2007-32 |
In this paper, we deal with a comparison of the quaternion neural network and the real neural network. In particular, ... [more] |
NC2007-32 pp.29-34 |
| IT | 2005-05-26 14:30 |
Overseas | Univ. of Hawaii | On Small-Scale Decoders for Codes on C_ab Curves Hajime Matsui, Seiichi Mita (Toyota Tech. Inst.) |
In the decoding of codes on algebraic curves, Berlekamp-Massey-Sakata (BMS) algorithm is often used for the location of ... [more] | IT2005-16 pp.19-23 |
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