光学

Size: px
Start display at page:

Download "光学"

Transcription

1 Image Recognition for On-Board Cameras and Distance Measurement Using Stereo Camera Takeshi SHIMA Haruki MATONO Shinji KAKEGAWA and Tatsuhiko MONJI Active safety systems for vehicles using outside detection sensors are now prevailing. In this section, we introduce our development of on-board cameras and examples of active safety systems using stereo cameras. Key words: camera, stereo camera, image processing, image recognition, active safety, vehicle takeshi.shima.rb@hitachi.com

2 EyeSight

3

4 EyeSight 2010 EyeSight EyeSight 5 EyeSight 1 AT DBf/S graph cuts belief propagation SAD sum of absolute di erence 4 SAD

5 1 SAD ZSADzero-mean SAD M. Tsuji, R. Shirato, H. Furusho and K. Akutagawa: Estimation of road configuration and vehicle attitude by lane detection for a lane-keeping system, SAE Technical Paper IN IN T. Shima, K. Irie, M. Nakamura, Y. Matsumoto, M. Higuchi, S. Muramatsu, T. Monji and Y. Hoshi: A vision-based road marking detection system for car navigation using an on-board rear view camera, 15th World Congress on Intelligent Transport System ViEW 2008pp M. Takahara, M. Nakamura, N. Miura, Y. Ikeda, W. Ike and K. Okada: Application of High Location Accuracy System to driving support system,15th World Congress on Intelligent Transport System ViEW 2009pp ViEW 2011pp ViEW 2009pp Fundamentals Review,

Fig. 2 Signal plane divided into cell of DWT Fig. 1 Schematic diagram for the monitoring system

Fig. 2 Signal plane divided into cell of DWT Fig. 1 Schematic diagram for the monitoring system Study of Health Monitoring of Vehicle Structure by Using Feature Extraction based on Discrete Wavelet Transform Akihisa TABATA *4, Yoshio AOKI, Kazutaka ANDO and Masataka KATO Department of Precision Machinery

More information

光学

光学 Range Image Sensors Using Active Stereo Methods Kazunori UMEDA and Kenji TERABAYASHI Active stereo methods, which include the traditional light-section method and the talked-about Kinect sensor, are typical

More information

(3.6 ) (4.6 ) 2. [3], [6], [12] [7] [2], [5], [11] [14] [9] [8] [10] (1) Voodoo 3 : 3 Voodoo[1] 3 ( 3D ) (2) : Voodoo 3D (3) : 3D (Welc

(3.6 ) (4.6 ) 2. [3], [6], [12] [7] [2], [5], [11] [14] [9] [8] [10] (1) Voodoo 3 : 3 Voodoo[1] 3 ( 3D ) (2) : Voodoo 3D (3) : 3D (Welc 1,a) 1,b) Obstacle Detection from Monocular On-Vehicle Camera in units of Delaunay Triangles Abstract: An algorithm to detect obstacles by using a monocular on-vehicle video camera is developed. Since

More information

立命館21_松本先生.indd

立命館21_松本先生.indd 2143-552010 1 2 () 1 2 3 456 78- Key Words 1 3 12007 2 3 508 19992008 1 23 4 43 2120107 4 2008 1992 2003 2005 1989 2008 4 2 2-1 10 4 4 6 5 4 5 2946 1 155 11 41 44 45 4 2-2 2003 1 21 2 1 3 4 5 6 7 3 2120107

More information

立命館20_服部先生.indd

立命館20_服部先生.indd 20 93-105 2010 2 () ' - 1 ( ) ( ' 2005) Key Words 2 1967 93 20 2010 1 94 1 ' 2002 2 2 1996 1996 1999 2 2 2 1993 1999 4 1 2 1985 1989 1986 1994 4 1 2 1 1 4 2 4 4 1 4 1966 4 10-1970 20 1993-1972 95 20 2010

More information

1996 2000 2004 1984 2005 7150 000 9 500 9 4 13 10 95 11 11 12 20002004 9 70

1996 2000 2004 1984 2005 7150 000 9 500 9 4 13 10 95 11 11 12 20002004 9 70 14 2006 1 Key Words 2002 3 1 2 3 3 1 2 3 1969 1987 69 1996 2000 2004 1984 2005 7150 000 9 500 9 4 13 10 95 11 11 12 20002004 9 70 14 2006 1 15 71 72 1 22 6 32 9 200 6 3 1 2 2000 10 1 2003 10 2005 6 5 4

More information

立命館16_坂下.indd

立命館16_坂下.indd 1669-792008 1 - ' 85- -108 ' Key words 1 2 2003 69 1620082 5 3 1990 1997 4 5 2001 1307 6 7 1 1 1 1996 100 2 1997 71 3 1998 71 4 1999 96 5 2000 95 6 2001 145 7 2002 191 8 2003 174 9 2004 120 10 2005 122

More information

立命館人間科学研究No.10

立命館人間科学研究No.10 1 77 5 Key words 1 23 3 11417 14310045 20022004 2 2003 20022005 20022004 2 10200511 3 2003 1152003 59 1995 3 32003 19932002 20032003 2005 20052005 4 1997 2000521986 2001 42001 3 1981 6 1 7 5 1000248 1632647

More information

立命館21_川端先生.indd

立命館21_川端先生.indd 21 119-132 2010 ( ) ' Key Words 119 21 2010 7 1962 2001 2001 2007 1982 1988 1997 2007 1997 1998 1863 1880 1 1998 1998 2001 1599 120 121 1599 1695 8 1695 1714 4 1714 1715 5 1715 100 1812 9 1812 1864 2001

More information

立命館14_前田.indd

立命館14_前田.indd 1499-1122007 1 ) ) ) ) ) (1) -- ) ) ) ) ) ) ( ) ) ' ) ) ) ) - 1) 2)' 3) Key words 19811994 1721 99 1420073 100 20012004 2005 2004 2002 33 34 10 1987 45 20002003 2002 1 1 2000 1 1 2001 2 200341 12004 2

More information

立命館17_坂下.indd

立命館17_坂下.indd 1793-1052008 1 () -- -- - Key words 1 93 1720088 2 3 2003 15 1996 50 3040 2 3 4050 50 10 1980 1995 1950 1958 1968 1972 94 95 1987 4 4 70 3 3 1 2000 2001 4 1720088 96 2001 2003 2 1978 1990 1997 130 2 3

More information

立命館人間科学研究No.10

立命館人間科学研究No.10 49 00 7 Key words 980 995 50 0005 90 997 99 990 994 99 99 99990 99 996 988988 994 99 995 995 995 994 984 988 986 997 997 00 995 00 5 7 5 5 999 997 997 998 6 998 999 997 997 998 0040000 994 996 000 00 5

More information

立命館19_椎原他.indd

立命館19_椎原他.indd 191-132009 1 ( ) ' Key Words 1 11 12007 2007 200520062 201120062 7558 4009 1 1920098 2007 2 2000 028 2005 1999 12 1999 13 1968 2 3 '1992 2007 2001 20052001 1977 2005 2005 2007 21 21 22 461927 3 13 1920098

More information

立命館人間科学研究No.10

立命館人間科学研究No.10 61 10 1990 Key words 1 102005 11 62 2000 1 1920 10 1892 63 1 1 19 100 1914 100 1 1 20 1 2 102005 11 64 1946 21 4 1947 1949 1947 22 1 3 1956 1959 1958 2 1964 65 2 10 1975 7080 70 2 1 1987 1990 40 1989 1989

More information

立命館19_徳田.indd

立命館19_徳田.indd 1991-1022009 1 2 () )--) 28 2827 1 2 Key Words 1 (1721 2000 20012001 20082009 91 1920098 92 20042004 2004 2001 12 2005 20082009 2005 3 1997 200820096 2007 2 20082009 93 20012001 12 2008 2009 19611966 1

More information

258 5) GPS 1 GPS 6) GPS DP 7) 8) 10) GPS GPS 2 3 4 5 2. 2.1 3 1) GPS Global Positioning System

258 5) GPS 1 GPS 6) GPS DP 7) 8) 10) GPS GPS 2 3 4 5 2. 2.1 3 1) GPS Global Positioning System Vol. 52 No. 1 257 268 (Jan. 2011) 1 2, 1 1 measurement. In this paper, a dynamic road map making system is proposed. The proposition system uses probe-cars which has an in-vehicle camera and a GPS receiver.

More information

橡 PDF

橡 PDF * * ** * * Transport Information Service Realized with the Fleet Management ASP Kiyotaka KISHINO*Yasushi ISHIDA*Takumi FUSHIKI** Naohiko GONMORI* Hiroyuki NAKAGAWA* Abstract: Fleet management system utilizing

More information

1. HNS [1] HNS HNS HNS [2] HNS [3] [4] [5] HNS 16ch SNR [6] 1 16ch 1 3 SNR [4] [5] 2. 2 HNS API HNS CS27-HNS [1] (SOA) [7] API Web 2

1. HNS [1] HNS HNS HNS [2] HNS [3] [4] [5] HNS 16ch SNR [6] 1 16ch 1 3 SNR [4] [5] 2. 2 HNS API HNS CS27-HNS [1] (SOA) [7] API Web 2 THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS TECHNICAL REPORT OF IEICE. 657 8531 1 1 E-mail: {soda,matsubara}@ws.cs.kobe-u.ac.jp, {masa-n,shinsuke,shin,yosimoto}@cs.kobe-u.ac.jp,

More information

28 Horizontal angle correction using straight line detection in an equirectangular image

28 Horizontal angle correction using straight line detection in an equirectangular image 28 Horizontal angle correction using straight line detection in an equirectangular image 1170283 2017 3 1 2 i Abstract Horizontal angle correction using straight line detection in an equirectangular image

More information

基調論文01.indd

基調論文01.indd 基調論文 自動運転を支えるセンシング技術 Sensing Technologies for Realizing Automated Driving 松ヶ谷和沖 Kazuoki MATSUGATANI ADAS (Advanced Driver Assistance System) and AD (Automated Driving) have received a lot of attention

More information

& Vol.5 No (Oct. 2015) TV 1,2,a) , Augmented TV TV AR Augmented Reality 3DCG TV Estimation of TV Screen Position and Ro

& Vol.5 No (Oct. 2015) TV 1,2,a) , Augmented TV TV AR Augmented Reality 3DCG TV Estimation of TV Screen Position and Ro TV 1,2,a) 1 2 2015 1 26, 2015 5 21 Augmented TV TV AR Augmented Reality 3DCG TV Estimation of TV Screen Position and Rotation Using Mobile Device Hiroyuki Kawakita 1,2,a) Toshio Nakagawa 1 Makoto Sato

More information

LED a) A New LED Array Acquisition Method Focusing on Time-Gradient and Space- Gradient Values for Road to Vehicle Visible Light Communication Syunsuk

LED a) A New LED Array Acquisition Method Focusing on Time-Gradient and Space- Gradient Values for Road to Vehicle Visible Light Communication Syunsuk VOL. J97-B NO. 7 JULY 2014 本 PDF の扱いは 電子情報通信学会著作権規定に従うこと なお 本 PDF は研究教育目的 ( 非営利 ) に限り 著者が第三者に直接配布することができる 著者以外からの配布は禁じられている LED a) A New LED Array Acquisition Method Focusing on Time-Gradient and Space-

More information

dsample.dvi

dsample.dvi 1 1 1 2009 2 ( ) 600 1 2 1 2 RFID PC Practical Verification of Evacuation Guidance Based on Pedestrian Traffic Measurement Tomohisa Yamashita, 1 Shunsuke Soeda 1 and Noda Itsuki 1 In this paper, we report

More information

its_j.pdf

its_j.pdf Intelligent Transport Systems Intelligent Transport Systems 2 4 6 8 10 12 14 15 16 18 19 20 22 24 26 28 30 32 34 36 38 39 42 44 46 48 50 51 54 56 58 60 62 64 66 68 70 72 21 74 21 21 76 78 80 82 84 86

More information

xx/xx Vol. Jxx A No. xx 1 Fig. 1 PAL(Panoramic Annular Lens) PAL(Panoramic Annular Lens) PAL (2) PAL PAL 2 PAL 3 2 PAL 1 PAL 3 PAL PAL 2. 1 PAL

xx/xx Vol. Jxx A No. xx 1 Fig. 1 PAL(Panoramic Annular Lens) PAL(Panoramic Annular Lens) PAL (2) PAL PAL 2 PAL 3 2 PAL 1 PAL 3 PAL PAL 2. 1 PAL PAL On the Precision of 3D Measurement by Stereo PAL Images Hiroyuki HASE,HirofumiKAWAI,FrankEKPAR, Masaaki YONEDA,andJien KATO PAL 3 PAL Panoramic Annular Lens 1985 Greguss PAL 1 PAL PAL 2 3 2 PAL DP

More information

Kochi University of Technology Aca 距 離 型 ファジィ 推 論 法 とその 医 療 福 祉 ロボットへの Title 応 用 Author(s) 王, 碩 玉 Citation 高 知 工 科 大 学 紀 要, 10(1): 19-28 Date of 2013-07-20 issue URL http://hdl.handle.net/10173/1073 Rights

More information

知能と情報, Vol.30, No.5, pp

知能と情報, Vol.30, No.5, pp 1, Adobe Illustrator Photoshop [1] [2] [3] Initital Values Assignment of Parameters Using Onomatopoieas for Interactive Design Tool Tsuyoshi NAKAMURA, Yuki SAWAMURA, Masayoshi KANOH, and Koji YAMADA Graduate

More information

36 581/2 2012

36 581/2 2012 4 Development of Optical Ground Station System 4-1 Overview of Optical Ground Station with 1.5 m Diameter KUNIMORI Hiroo, TOYOSHMA Morio, and TAKAYAMA Yoshihisa The OICETS experiment, LEO Satellite-Ground

More information

光学

光学 Fundamentals of Projector-Camera Systems and Their Calibration Methods Takayuki OKATANI To make the images projected by projector s appear as desired, it is e ective and sometimes an only choice to capture

More information

06’ÓŠ¹/ŒØŒì

06’ÓŠ¹/ŒØŒì FD. FD FD FD FD FD FD / Plan-Do-See FD FD FD FD FD FD FD FD FD FD FD FD FD FD JABEE FD A. C. A B .. AV .. B Communication Space A FD FD ES FD FD The approach of the lesson improvement in Osaka City University

More information

特別寄稿.indd

特別寄稿.indd 特別寄稿 ソフトインフラとしてのデジタル地図を活用した自動運転システム Autonomous vehicle using digital map as a soft infrastructure 菅沼直樹 Naoki SUGANUMA 1. はじめに 1) 2008 2012 ITS 2) CO 2 3) 4) Door to door Door to door Door to door DARPA(

More information

2). 3) 4) 1.2 NICTNICT DCRA Dihedral Corner Reflector micro-arraysdcra DCRA DCRA DCRA 3D DCRA PC USB PC PC ON / OFF Velleman K8055 K8055 K8055

2). 3) 4) 1.2 NICTNICT DCRA Dihedral Corner Reflector micro-arraysdcra DCRA DCRA DCRA 3D DCRA PC USB PC PC ON / OFF Velleman K8055 K8055 K8055 1 1 1 2 DCRA 1. 1.1 1) 1 Tactile Interface with Air Jets for Floating Images Aya Higuchi, 1 Nomin, 1 Sandor Markon 1 and Satoshi Maekawa 2 The new optical device DCRA can display floating images in free

More information

013858,繊維学会誌ファイバー1月/報文-02-古金谷

013858,繊維学会誌ファイバー1月/報文-02-古金谷 Development of Non-Contact Measuring Method for Final Twist Number of Double Ply Staple Yarn Keizo Koganeya 1, Youichi Yukishita 1, Hirotaka Fujisaki 1, Yasunori Jintoku 2, Hironori Okuno 2, and Motoharu

More information

. ) ) ) 4) ON DC 6 µm DC [4]. 8 NaPiOn 4

. ) ) ) 4) ON DC 6 µm DC [4]. 8 NaPiOn 4 6- - E-mail: tam@ishss.doshisha.ac.jp, {skaneda,hhaga}@mail.doshisha.ac.jp ON, OFF.5[m].5[m].8[m] 9 8% Human Location/Height Detection using Analog type Pyroelectric Sensors Shinya OKUDA, Shigeo KANEDA,

More information

Web Basic Web SAS-2 Web SAS-2 i

Web Basic Web SAS-2 Web SAS-2 i 19 Development of moving image delivery system for elementary school 1080337 2008 3 10 Web Basic Web SAS-2 Web SAS-2 i Abstract Development of moving image delivery system for elementary school Ayuko INOUE

More information

untitled

untitled SUMMARY This paper presents current situations, issues, and several practical use scenarios of anonymous communication which provides sender anonymity and receiver anonymity in a communication. As methods

More information

A Study on the procedure at the time when urban development projects Meiji era began and were finished in Kobe during By Keiji OHARA When urban development projects in Robe during Meiji era began and were

More information

1 Kinect for Windows M = [X Y Z] T M = [X Y Z ] T f (u,v) w 3.2 [11] [7] u = f X +u Z 0 δ u (X,Y,Z ) (5) v = f Y Z +v 0 δ v (X,Y,Z ) (6) w = Z +

1 Kinect for Windows M = [X Y Z] T M = [X Y Z ] T f (u,v) w 3.2 [11] [7] u = f X +u Z 0 δ u (X,Y,Z ) (5) v = f Y Z +v 0 δ v (X,Y,Z ) (6) w = Z + 3 3D 1,a) 1 1 Kinect (X, Y) 3D 3D 1. 2010 Microsoft Kinect for Windows SDK( (Kinect) SDK ) 3D [1], [2] [3] [4] [5] [10] 30fps [10] 3 Kinect 3 Kinect Kinect for Windows SDK 3 Microsoft 3 Kinect for Windows

More information

HP cafe HP of A A B of C C Map on N th Floor coupon A cafe coupon B Poster A Poster A Poster B Poster B Case 1 Show HP of each company on a user scree

HP cafe HP of A A B of C C Map on N th Floor coupon A cafe coupon B Poster A Poster A Poster B Poster B Case 1 Show HP of each company on a user scree LAN 1 2 3 2 LAN WiFiTag WiFiTag LAN LAN 100% WiFi Tag An Improved Determination Method with Multiple Access Points for Relative Position Estimation Using Wireless LAN Abstract: We have proposed a WiFiTag

More information

IPSJ SIG Technical Report Vol.2011-EC-19 No /3/ ,.,., Peg-Scope Viewer,,.,,,,. Utilization of Watching Logs for Support of Multi-

IPSJ SIG Technical Report Vol.2011-EC-19 No /3/ ,.,., Peg-Scope Viewer,,.,,,,. Utilization of Watching Logs for Support of Multi- 1 3 5 4 1 2 1,.,., Peg-Scope Viewer,,.,,,,. Utilization of Watching Logs for Support of Multi-View Video Contents Kosuke Niwa, 1 Shogo Tokai, 3 Tetsuya Kawamoto, 5 Toshiaki Fujii, 4 Marutani Takafumi,

More information

P1: P2: P3: P4: P1 P3 API Scallop4SC API [3] P1 P2 Hadoop [4] HBase [5] Scallop4SC HBase HBase Key Value Hadoop Scallop4SC P3 P4 API 2 API API 2. 2. 1

P1: P2: P3: P4: P1 P3 API Scallop4SC API [3] P1 P2 Hadoop [4] HBase [5] Scallop4SC HBase HBase Key Value Hadoop Scallop4SC P3 P4 API 2 API API 2. 2. 1 THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS TECHNICAL REPORT OF IEICE. 657 8531 1 1 E-mail: {shintaro,koupe,okushi}@ws.cs.kobe-u.ac.jp, {shinsuke,masa-n}@cs.kobe-u.ac.jp Scallop4SC

More information

JSAE Annual Party( 技 術 者 交 流 会 ) 5 月 24 日 ( 木 )17:30 ~ 19:00 会 議 センター 303+304 / 3F 参 加 費 正 会 員 学 生 会 員 賛 助 会 員 3,000 円 ( 消 費 税 込 ) 参 加 申 込 方 法 事 前 申 込 (オンライン 参 加 登 録 ) 事 前 申 込 (オンライン 参 加 登 録 )で, 学 術 講

More information

Fig. 3 Flow diagram of image processing. Black rectangle in the photo indicates the processing area (128 x 32 pixels).

Fig. 3 Flow diagram of image processing. Black rectangle in the photo indicates the processing area (128 x 32 pixels). Fig. 1 The scheme of glottal area as a function of time Fig. 3 Flow diagram of image processing. Black rectangle in the photo indicates the processing area (128 x 32 pixels). Fig, 4 Parametric representation

More information

Microsoft PowerPoint - 201409_秀英体の取組み素材(予稿集).ppt

Microsoft PowerPoint - 201409_秀英体の取組み素材(予稿集).ppt 1 2 3 4 5 6 7 8 9 10 11 No Image No Image 12 13 14 15 16 17 18 19 20 21 22 23 No Image No Image No Image No Image 24 No Image No Image No Image No Image 25 No Image No Image No Image No Image 26 27 28

More information

コーセーの発展史

コーセーの発展史 History of KOSE Co.,Ltd. Abstract Yoshihito The purpose of this paper is to take a look at the KOSE Co., Ltd. development process. Kobayashi Kozaburo established Kobayashi patnership, a cosmetic maker,

More information

橡上野先生訂正2

橡上野先生訂正2 (SIS) NII) 101-8430 tel 03-4212-2516 E-mail ueno@nii.ac.jp 1 NII 2 (symbiosis) 2 (parasitism) 2 Knowledge Creation The Symbiotic partnership of University, Government and Industry, Proc. Information Environment

More information

Tsuken Technical Information 1

Tsuken Technical Information 1 March 2004 Vol.6 Tsuken Technical Information 1 Since microprocessors (MPUs) first appeared in the 1970s, they have developed at a remarkable pace, and now found in a huge range of devices that we use

More information

和文タイトル

和文タイトル Paper Browsing System with Structure Analysis and Displaying Annotation on Side-note Windows Takeshi Abekawa Akiko Aizawa National Institute of Informatics Abstract: In this paper, we introduce our on-going

More information

Synthesis and Development of Electric Active Stabilizer Suspension System Shuuichi BUMA*6, Yasuhiro OOKUMA, Akiya TANEDA, Katsumi SUZUKI, Jae-Sung CHO

Synthesis and Development of Electric Active Stabilizer Suspension System Shuuichi BUMA*6, Yasuhiro OOKUMA, Akiya TANEDA, Katsumi SUZUKI, Jae-Sung CHO Synthesis and Development of Electric Active Stabilizer Suspension System Shuuichi BUMA*6, Yasuhiro OOKUMA, Akiya TANEDA, Katsumi SUZUKI, Jae-Sung CHO and Masaru KOBAYASHI Chassis Engineering Management

More information

framing 2 3 reframing 4 LRT LRT LRT LRT 5 2LRT LRT 2.1 LRT JR JR8.0km 45, JR LRT LRT JR3 5 7,000 6,000 5,000 4,000

framing 2 3 reframing 4 LRT LRT LRT LRT 5 2LRT LRT 2.1 LRT JR JR8.0km 45, JR LRT LRT JR3 5 7,000 6,000 5,000 4,000 LRT 4 FUKAYAMA, Takeshi KATO, Hironori SHIROYAMA, Hideaki 1 1.1 184 LRTLight Rail Transit 1 LRT 10203050 LRT LRT 1 JR LRT 2 LRTLRT 18910 1.2 LRT 022 Vol.10 No.1 2007 Spring framing 2 3 reframing 4 LRT

More information

dvipsj.4852.dvi

dvipsj.4852.dvi NAOSITE: Nagasaki University's Ac Title Author(s) 3D 計測によるコンクリート打継部及び曲面板の振動解析に関する研究 松田, 浩 ; 和田, 眞禎 ; 小嶋, 悟 ; 崎山, 毅 ; 森田, 千尋掲維 ; 仲村, 政彦 ; 山本, 晃 ; 鶴田, 健 Citation 応用力学論文集 Vol.3, pp.5-4, Issue Date URL http://hdl.handle.net/69/648

More information

....PDF.pmd

....PDF.pmd OBS-1000 Hans Stix HORIBA EUROPE GmbH HORIBA OBS-1000OBS-1000 CO CO 2 HC NOx NOx 1-5 HORIBA 50 OBS-1000 6-10 56 No.30 February 2005 Technical Reports 1 2 OBS-1000 CO CO 2 HCNDIR MEXA-1170HNDIR NOx A/FZrO

More information

若者の親子・友人関係とアイデンティティ

若者の親子・友人関係とアイデンティティ 35 2004 pp.147 159 ISSN 0287 6817 16 17 Young People s Identities in Their Relations with Parents and Friends : An Analysis of Questionnaire Survey Data of 16 and 17 year-olds Daisuke TSUJI Abstract I

More information

1

1 5-3 Photonic Antennas and its Application to Radio-over-Fiber Wireless Communication Systems LI Keren, MATSUI Toshiaki, and IZUTSU Masayuki In this paper, we presented our recent works on development of

More information

1., 1 COOKPAD 2, Web.,,,,,,.,, [1]., 5.,, [2].,,.,.,, 5, [3].,,,.,, [4], 33,.,,.,,.. 2.,, 3.., 4., 5., ,. 1.,,., 2.,. 1,,

1., 1 COOKPAD 2, Web.,,,,,,.,, [1]., 5.,, [2].,,.,.,, 5, [3].,,,.,, [4], 33,.,,.,,.. 2.,, 3.., 4., 5., ,. 1.,,., 2.,. 1,, THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS TECHNICAL REPORT OF IEICE.,, 464 8601 470 0393 101 464 8601 E-mail: matsunagah@murase.m.is.nagoya-u.ac.jp, {ide,murase,hirayama}@is.nagoya-u.ac.jp,

More information

Microsoft Word - toyoshima-deim2011.doc

Microsoft Word - toyoshima-deim2011.doc DEIM Forum 2011 E9-4 252-0882 5322 252-0882 5322 E-mail: t09651yt, sashiori, kiyoki @sfc.keio.ac.jp CBIR A Meaning Recognition System for Sign-Logo by Color-Shape-Based Similarity Computations for Images

More information

Fig Measurement data combination. 2 Fig. 2. Ray vector. Fig (12) 1 2 R 1 r t 1 3 p 1,i i 2 3 Fig.2 R 2 t 2 p 2,i [u, v] T (1)(2) r R 1 R 2

Fig Measurement data combination. 2 Fig. 2. Ray vector. Fig (12) 1 2 R 1 r t 1 3 p 1,i i 2 3 Fig.2 R 2 t 2 p 2,i [u, v] T (1)(2) r R 1 R 2 IP 06 16 / IIS 06 32 3 3-D Environment Modeling from Images Acquired with an Omni-Directional Camera Mounted on a Mobile Robot Atsushi Yamashita, Tomoaki Harada, Ryosuke Kawanishi, Toru Kaneko (Shizuoka

More information

IPSJ SIG Technical Report Vol.2013-CVIM-188 No /9/2 1,a) D. Marr D. Marr 1. (feature-based) (area-based) (Dense Stereo Vision) van der Ma

IPSJ SIG Technical Report Vol.2013-CVIM-188 No /9/2 1,a) D. Marr D. Marr 1. (feature-based) (area-based) (Dense Stereo Vision) van der Ma ,a) D. Marr D. Marr. (feature-based) (area-based) (Dense Stereo Vision) van der Mark [] (Intelligent Vehicle: IV) SAD(Sum of Absolute Difference) Intel x86 CPU SSE2(Streaming SIMD Extensions 2) CPU IV

More information

1 1 tf-idf tf-idf i

1 1 tf-idf tf-idf i 14 A Method of Article Retrieval Utilizing Characteristics in Newspaper Articles 1055104 2003 1 31 1 1 tf-idf tf-idf i Abstract A Method of Article Retrieval Utilizing Characteristics in Newspaper Articles

More information

untitled

untitled Lions Club Liberty, Intelligence, Our Nation's Safety We Serve 60th Anniversary 1 60th Anniversary 3 2 60th Anniversary 4 60th Anniversary 60th Anniversary 5 6 60th Anniversary 60th Anniversary 7 60th

More information

B HNS 7)8) HNS ( ( ) 7)8) (SOA) HNS HNS 4) HNS ( ) ( ) 1 TV power, channel, volume power true( ON) false( OFF) boolean channel volume int

B HNS 7)8) HNS ( ( ) 7)8) (SOA) HNS HNS 4) HNS ( ) ( ) 1 TV power, channel, volume power true( ON) false( OFF) boolean channel volume int SOA 1 1 1 1 (HNS) HNS SOA SOA 3 3 A Service-Oriented Platform for Feature Interaction Detection and Resolution in Home Network System Yuhei Yoshimura, 1 Takuya Inada Hiroshi Igaki 1, 1 and Masahide Nakamura

More information

KII, Masanobu Vol.7 No Spring

KII, Masanobu Vol.7 No Spring KII, Masanobu 1 2 3 4 5 2 2.1 1945 60196075 19759019904 002 Vol.7 No.1 2004 Spring 1194560 1 1946 2 195328 3 4 1958 1960 2196075 5 6 7 8 1946 2 1972 1/23/4 1974 1968481973 1969 3197590 9 1980 1987 41990

More information

P2P P2P peer peer P2P peer P2P peer P2P i

P2P P2P peer peer P2P peer P2P peer P2P i 26 P2P Proposed a system for the purpose of idle resource utilization of the computer using the P2P 1150373 2015 2 27 P2P P2P peer peer P2P peer P2P peer P2P i Abstract Proposed a system for the purpose

More information

1_26.dvi

1_26.dvi C3PV 1,a) 2,b) 2,c) 3,d) 1,e) 2012 4 20, 2012 10 10 C3PV C3PV C3PV 1 Java C3PV 45 38 84% Programming Process Visualization for Supporting Students in Programming Exercise Hiroshi Igaki 1,a) Shun Saito

More information

橡最新卒論

橡最新卒論 Research of improving of recognition ability in Face recognition system Abstract The age when baiometrics was used as a password came today. Because various baiometrics such as a voice, a fingerprint,

More information

2006.Membranes31new.pdf

2006.Membranes31new.pdf 131 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 7 1 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 71 7 1 71 71 71 71 71 71 71 71

More information

2017 (413812)

2017 (413812) 2017 (413812) Deep Learning ( NN) 2012 Google ASIC(Application Specific Integrated Circuit: IC) 10 ASIC Deep Learning TPU(Tensor Processing Unit) NN 12 20 30 Abstract Multi-layered neural network(nn) has

More information

1 2 8 24 32 44 48 49 50 SEC journal Vol.11 No.2 Sep. 2015 1 2 SEC journal Vol.11 No.2 Sep. 2015 SEC journal Vol.11 No.2 Sep. 2015 3 4 SEC journal Vol.11 No.2 Sep. 2015 SEC journal Vol.11 No.2 Sep. 2015

More information

1 48

1 48 Section 2 1 48 Section 2 49 50 1 51 Section 2 1 52 Section 2 1 53 1 2 54 Section 2 3 55 1 4 56 Section 2 5 57 58 2 59 Section 2 60 2 61 Section 2 62 2 63 Section 2 3 64 Section 2 6.72 9.01 5.14 7.41 5.93

More information

Section 1 Section 2 Section 3 Section 4 Section 1 Section 3 Section 2 4 5 Section 1 6 7 Section 1 8 9 10 Section 1 11 12 Section 2 13 Section 2 14 Section 2 15 Section 2 16 Section 2 Section 2 17 18 Section

More information

18 20 2006 2010.3.5 2010.2.24 2009 11 2010 2 2009 11 2010 2 1 2009 11 25 1 27 535 2010.1.29 2010 1 21 2 24 3 2 5 20

18 20 2006 2010.3.5 2010.2.24 2009 11 2010 2 2009 11 2010 2 1 2009 11 25 1 27 535 2010.1.29 2010 1 21 2 24 3 2 5 20 17 1 2 1 2 3 4 1 2 3 1 2 1 2 2009 6 GM 8 11 2010 1 2 2009 11 2 800 1 1 2010 2 23 18 20 2006 2010.3.5 2010.2.24 2009 11 2010 2 2009 11 2010 2 1 2009 11 25 1 27 535 2010.1.29 2010 1 21 2 24 3 2 5 20 19 230

More information

(MIRU2008) HOG Histograms of Oriented Gradients (HOG)

(MIRU2008) HOG Histograms of Oriented Gradients (HOG) (MIRU2008) 2008 7 HOG - - E-mail: katsu0920@me.cs.scitec.kobe-u.ac.jp, {takigu,ariki}@kobe-u.ac.jp Histograms of Oriented Gradients (HOG) HOG Shape Contexts HOG 5.5 Histograms of Oriented Gradients D Human

More information

Optical Lenses CCD Camera Laser Sheet Wind Turbine with med Diffuser Pitot Tube PC Fig.1 Experimental facility. Transparent Diffuser Double Pulsed Nd:

Optical Lenses CCD Camera Laser Sheet Wind Turbine with med Diffuser Pitot Tube PC Fig.1 Experimental facility. Transparent Diffuser Double Pulsed Nd: *1 *2 *3 PIV Measurement of Field of the Wind Turbine with a med Diffuser Kazuhiko TOSHIMITSU *4, Koutarou NISHIKAWA and Yuji OHYA *4 Department of Mechanical Engineering, Matsue National Collage of Technology,

More information

1 3DCG [2] 3DCG CG 3DCG [3] 3DCG 3 3 API 2 3DCG 3 (1) Saito [4] (a) 1920x1080 (b) 1280x720 (c) 640x360 (d) 320x G-Buffer Decaudin[5] G-Buffer D

1 3DCG [2] 3DCG CG 3DCG [3] 3DCG 3 3 API 2 3DCG 3 (1) Saito [4] (a) 1920x1080 (b) 1280x720 (c) 640x360 (d) 320x G-Buffer Decaudin[5] G-Buffer D 3DCG 1) ( ) 2) 2) 1) 2) Real-Time Line Drawing Using Image Processing and Deforming Process Together in 3DCG Takeshi Okuya 1) Katsuaki Tanaka 2) Shigekazu Sakai 2) 1) Department of Intermedia Art and Science,

More information

% 32.3 DI DI

% 32.3 DI DI 2011 7 9 28.1 41.4 30.5 35.8 31.9% 32.3 DI 18.2 2.4 8.1 3.5 DI 9.4 32.2 0.0 25.9 2008 1 3 2 3 34.8 65.2 46.753.8 1 2 8.82.9 43.1 10 3 DI 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

More information

2 DI 28 7 1 37 28 4 18 27 11 21 5 2 26 4 5 1 15 2 25 3 35 4 17 7 5 48 76 31 47 17 2 92 12 2 2 4 6 8 1 12 1 2 4 1 12 13 18 19 3 42 57 57 1 2 3 4 5 6 1 1 1 3 4 4 5 5 5.5 1 1.5 2 2.5 3 3.5 4 4.5 5

More information

31, 21% 24, 17% 8, 5% 23, 16% 24, 16% 91, 62% 19, 13% 39, 27% 33, 23% 73 48 57 51 31 1 9 13.0% 7.4% 5.3% 12.5% 17.1% 13.2% 17.9% 4.5% 36.4% 56.5% 40.7% 36.8% 50.0% 67.1% 56.3% 65.8% 75.0% 26.0% 37.0%

More information

37 27.0% 26 19.0% 74 54.0% 9 6.4% 13 9.2% 28 19.9% 26 18.4% 37 26.2%. 24 17.0% 99 69 75 59 39 1 6 4.5% 1.4% 7.7% 2.9% 25.0% 17.9% 20.8% 50.0% 41.7% 47.0% 51.4% 54.3% 61.5% 57.1% 55.6% 42.4% 50.0% 58.3%

More information

3 DI 29 7 1 5 6 575 11 751, 13 1,1,25 6 1,251,5 2 1,51,75 1,752, 1 2,2,25 2,252,5 2,53, 3,3,5 3,5 5 1 15 2 25 3 5 6 575 12 751, 21 1,1,25 27 1,251,5 9 1,51,75 1,752, 1 2,2,25 2 2,252,5 2,53, 2 3,3,5

More information