Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
PRMU |
2018-12-14 14:25 |
Miyagi |
|
Training of Traffic Sign Detector and Classifier Using Synthetic Road Scenes Akira Sekizawa, Katsuto Nakajima (TDU) PRMU2018-89 |
This paper proposes a method of providing an end-to-end object recognition system based on deep learning that uses synth... [more] |
PRMU2018-89 pp.73-78 |
NLP |
2015-07-21 13:30 |
Hokkaido |
Bibai Onsen Yu-rinkan |
Real-time recognition for vehicle environments using neural networks Hiromu Endo, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2015-67 |
This paper designs neural networks which realize real-time recognition
for vehicle environments such as traffic sign, t... [more] |
NLP2015-67 pp.1-5 |
VLD, DC, IPSJ-SLDM, CPSY, RECONF, ICD, CPM (Joint) [detail] |
2014-11-26 16:40 |
Oita |
B-ConPlaza |
An FPGA Implementation of Real-Time Traffic-Sign Detection for Driver Assistance System Masaharu Yamamoto, Anh-Tuan Hoang, Tetsushi Koide (Hiroshima Univ.) VLD2014-76 DC2014-30 |
In this paper, we propose a hardware-oriented speed traffic-sign recognition algorithm and its FPGA architecture in whic... [more] |
VLD2014-76 DC2014-30 pp.27-32 |
CPSY |
2014-11-13 12:30 |
Hiroshima |
Hiroshima University |
Hardware Oriented Speed Traffic-Sign Detection Algorithm for Robust Sign Distortion and Illumination Conditions Masaharu Yamamoto, Anh-Tuan Hoang, Tetsushi Koide (Hiroshima Univ.) CPSY2014-54 |
In this paper, we propose a hardware-oriented robust speed traffic-sign recognition algorithm which can process real-tim... [more] |
CPSY2014-54 pp.1-6 |
CPSY |
2013-11-08 11:30 |
Hiroshima |
|
Real-Time Speed Traffic-Sign Recognition Architecture Using Local Feature Value Masaharu Yamamoto, Anh-Tuan Hoang, Mutsumi Omori, Tetsushi Koide (Hiroshima Univ.) CPSY2013-46 |
The purpose of this research is development of an algorithm for compact hardware implementation for real-time number rec... [more] |
CPSY2013-46 pp.43-48 |
RECONF |
2012-09-18 09:55 |
Shiga |
Epock Ritsumei 21, Ritsumeikan Univ. |
A development of trafic-sign recognition system by using vector processor Venice Yoshiya Sugita, Tomoki Tomisawa, Masahiro Fukui (Ritsumeikan Univ.) RECONF2012-25 |
This paper presents a development of traffic-sign detection system by using vector processor Venice. Vector processor Ve... [more] |
RECONF2012-25 pp.7-12 |
SANE |
2010-10-27 14:20 |
Overseas |
Ramada Hotel, Jeju-do, Korea |
Fast Road Sign Recognition by Integral Image and DP Matching Yuta Aoki, Katsuto Nakajima (Tokyo Denki Univ.) SANE2010-77 |
For fast road sign recognition from a camera on a vehicle, we propose a method composed with three steps, Pre-check (P-s... [more] |
SANE2010-77 pp.53-58 |
ITS, IEE-ITS |
2009-03-09 14:50 |
Kyoto |
Kyoto University |
Road Sign Recognition with Color and Edge based features Sho Shimamura, Satoshi Yonemoto (Kyushu Sangyo Univ.) ITS2008-87 |
This paper presents a new road sign recognition method with color and edge based features. First, extraction of color re... [more] |
ITS2008-87 pp.23-28 |
PRMU, DE |
2008-06-19 10:30 |
Hokkaido |
Otaru-Shimin-Kaikan |
Traffic Sign Recognition from Video Images for Geographic Information System Masataka Sugimoto, Ryo Nagahashi, Yasuyuki Sugaya, Yasushi Kanazawa (Toyohashi Univ. of Tech.), Yoshihiro Ito, Kiyohisa Sato (MapQuest Co.) DE2008-3 PRMU2008-21 |
For creating the traffic sign database on GIS, we propose a method for recognizing traffic signs from video images. The... [more] |
DE2008-3 PRMU2008-21 pp.13-18 |
ITS |
2005-11-18 13:00 |
Tottori |
Hotel Monarque Tottori (Tottori City) |
A Road Sign Recognition with Consideration to Occlusion by Superposing Extracted Regions from Successive Frames Hitoshi Yamauchi (Okayama Pref. Univ.), Atsuhiro Kojima, Takao Miyamoto (Osaka Pref. Univ.), Hiromitsu Takahashi (Okayama Pref. Univ.), Kunio Fukunaga (Osaka Pref. Univ.) |
Many road sign detection and recognition techniques from car mounted
camera images are proposed. These techniques requ... [more] |
ITS2005-32 pp.1-6 |