KINDAI UNIVERSITY


*A space between the first name and last name, please enter

MIYATA Shigeharu

Profile

FacultyDepartment of Robotics / Graduate School of System Enginnering
PositionAssociate Professor
Degree
Commentator Guidehttps://www.kindai.ac.jp/meikan/420-miyata-shigeharu.html
URL
Mail
Last Updated :2020/09/02

Education and Career

Education

  •  - 1986 , Hiroshima University
  •  - 1986 , Hiroshima University, Graduate School, Division of Engineering
  •  - 1981 , Hiroshima University, Faculty of Engineering
  •  - 1981 , Hiroshima University, Faculty of Engineering

Research Activities

Research Areas

  • Manufacturing technology (mechanical, electrical/electronic, chemical engineering), Measurement engineering
  • Manufacturing technology (mechanical, electrical/electronic, chemical engineering), Communication and network engineering

Research Interests

  • Information and Communication Engineering, Electronic Measurements

Published Papers

  • Recognition of Speed Limits on Speed-Limit Signs by Using Machine Learning, MIYATA Shigeharu, Proc. of 24th International Conference Mechatronics and Machine Vision in Practice, Proc. of 24th International Conference Mechatronics and Machine Vision in Practice, 381 - 389, Nov. 2017 , Refereed
  • Automatic Recognition of Speed Limits on Speed-Limit Signs by Using Machine Learning, MIYATA Shigeharu, J. Imaging, J. Imaging, 3(25), 1 - 18, Jul. 2017 , Refereed
  • Automated License Plate Detection using a Support Vector Machine, MIYATA Shigeharu, Kenji OKA, Proceeding of 2016 The 14th International Conference on Control, Automation, Robotics and Vision, Proceeding of 2016 The 14th International Conference on Control, Automation, Robotics and Vision, Nov. 2016 , Refereed
  • Automated License Plate Detection Using a Support Vector Machine, Kenji OKA, MIYATA Shigeharu, Research Reports of the Faculty of Engineering Kinki University, Research Reports of the Faculty of Engineering Kinki University, 49, 47 - 52, Dec. 2015
  • Evaluation of Kinect Vision Sensor for Bin-Picking Application, MIYATA Shigeharu, Indian journal of research, Indian journal of research, 4(6), 84 - 88, Jun. 2015 , Refereed
  • Method for Recognition of Numbers on Speed Limit Signs Utilizing an Eigen Space Method Based on the KL Transform, (掲載決定済み), (掲載決定済み), Sep. 2013
  • Feature extraction and recognition for road sign using dynamic image processing, Proceeding of Internationa conference on innovative computing, information andcontrol, Proceeding of Internationa conference on innovative computing, information andcontrol, 2010
  • Improvement of adaptive cruise control performace, EURASIP Journal on Advances in Signal Processing, EURASIP Journal on Advances in Signal Processing, 2010(29501), 1 - 8, 2010
  • Automatic Path Search for Roving Robot Using Reinforcement Learning, International Journal of Research and Surveys ICIC Express Letters, International Journal of Research and Surveys ICIC Express Letters, 4(3(B)), 885 - 892, 2010
  • Improvement of adaptive cruise control performace, Proceeding of International symposium on advance vehicle control, Proceeding of International symposium on advance vehicle control, Oct. 2008
  • Detection of Human Face in a Color Image Using Higher Order Local Autoco relation Features, 35, 111 - 117, Dec. 2001
  • A Theoretical consideration to Vehicle Behavior by Direct Yaw Moment Control to Zero Vehicle Slip Angle at Any Location of Vehicle, Hideki Sakai, Shigeharu Miyata, Shin Takehara, 46(4), 769 - 774, Refereed
  • TRAFFIC SIGN RECOGNITION UTILIZING AN EIGEN SPACE METHOD BASED ON the KL TRANSFORM, Shigeharu Miyata, Takahiro Ishikawa, Hitomi Nakamura, Shin Takehara, MANAGEMENT, MANUFACTURING AND MATERIALS ENGINEERING, PTS 1 AND 2, MANAGEMENT, MANUFACTURING AND MATERIALS ENGINEERING, PTS 1 AND 2, 452-453(2), 876 - 882, 2012
    Summary:This study explains that a method utilizing the eigen spaces obtained by the KL transform for automatic recognition by camera of the speed on a speed limit sign has the following advantages: it is robust in response to changes in intensity patterns caused by the direction the sign is facing and by the amount of light striking the sign, and it is able to reduce the recognition processing time by reducing the number of feature vector dimensions during analysis. The method for recognition of traffic signs previously proposed by the authors of this study was a method for recognition based on extracting geometric shapes from the sign and recognizing them based on their aspect ratios. As such, this method was not able to identify the numbers on a speed limit sign, all of which have identical aspect ratios. It will be shown that the method in this study is able to recognize nearly all speed limits indicated on traffic signs within several 100s of ms after image acquisition. This method was applied to still images and its effectiveness was verified from the perspective of the following requirements for providing accurate information concerning the vehicle surroundings to the driver: high processing speed, high recognition accuracy, detection of all detectable objects without omission, and robustness in response to changes in the surrounding environment.
  • ROAD SIGN FEATURE EXTRACTION AND RECOGNITION USING DYNAMIC IMAGE PROCESSING, Shigeharu Miyata, Akira Yanou, Hitomi Nakamura, Shin Takehara, INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 5(11B), 4105 - 4113, Nov. 2009
    Summary:In the research field of intelligent transportation systems (ITS), various suggestions have been made concerning road signs which can be automatically recognized by driver-support systems. A most all of the methods proposed for road sign identification and recognition are processes performed using an instantaneously-acquired static image. As a result, the processing time is a problem. The method which this paper proposes assumes the use of an on-board camera, and involves processing of a dynamic image, allowing effective processing in case when the sign is temporarily hidden by another object. In addition, this paper proposes a simple algorithm for sign detection and recognition that reduces the amount of required calculation. In this paper, nine kinds of signs, such as "STOP," "NO ENTRY" and "NO PASSAGE" were prepared, each 1/3 the size of the actual signs. Experiments were then carried Out for recognition of these signs under various kinds of measurement conditions.
  • Navigation and path search for roving robot using reinforcement learning, Shigeharu Miyata, Akira Yanou, Shin Takehara, Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009, Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009, 480 - 485, 2009
    Summary:The robot technology is rapidly developing in recent years. In connection with this technology, a robot activity is expected in various places or various environments. Therefore, this study describes 1) how the location of the destination of the robot in real world is measured based on the image obtained by one camera and 2) how the robot is navigated to the destination where a user points out on the display, on which the forward scene is imaged. The cases where there are some obstacles on the way to the destination are considered. The roving robot tries to find the shortest way to the destination based on the information on the locations of the obstacles and the destination by using the reinforcement learning, which is a hopeful candidate in the autonomous control technique. In addition, the measurement method for the indicated location based on the image is described, the simulation result for the path search by using the reinforcement leaning is shown, and the experiment result of navigation in real field is shown. Finally, the main conclusions are summarized . © 2009 IEEE.
  • Automatic path search for roving robot using reinforcement learning, Shigeharu Miyata, Hitomi Nakamura, Akira Yanou, Shin Takehara, 2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009, 2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009, 169 - 172, 2009
    Summary:Rapid advances in robot technology have been made in recent years. In connection with these advances, robots are expected to be utilized in a variety of places and environments. This study describes 1) a method which allows a robot to measure the location of its destination in the real world based on an image obtained from a single camera, and 2) a method of navigating a robot to a destination which is selected by a user on a display showing the forward robot view. Consideration is also given to cases in which there are obstacles between the robot and the destination. Through the use of reinforcement learning, which is considered a promising candidate among autonomous control techniques, the roving robot tries to find the shortest way to the destination based on information concerning the locations of obstacles and the destination. This study also describes an image-based method of measuring a selected location, the results from a simulation of path finding using reinforcement learning, and the results from an experiment of navigation in a real environment. Finally, a summary of the main conclusions is provided. © 2009 IEEE.
  • Development of a real-time range finder interpolating the parallax signals for surfaces, Yutaka Tanaka, Akio Gofuku, Isaku Nagai, Shigeharu Miyata, Mechatronics, Mechatronics, 12(6), 875 - 889, Jul. 2002
    Summary:In order to apply "eyes" to an autonomous running vehicle, a real-time range finder has been developed that can measure both the distance to every point on a plane without any pattern and its inclination. Although it seems contrary to the fact that the parallax is inversely proportional to the distance, this paper derives the mathematical ground that a plane in a real 3-D space (X,Y,Z) is mapped also into the plane in a spatial parallax (x,y, Δx). On this basis, an electronic circuit has been manufactured which can compute in video rate the interpolation value between the parallaxes at two characteristic points by using several programmable logic devices. It has also been demonstrated that this device is applicable to the measurements of the slant angles of and the directions normal to a simple plane or a slightly curved surface. © 2002 Elsevier Science Ltd. All rights reserved.

Books etc

  • Image Processing(ISBN 978-953-307-026-1), Sole author, In-Tech,   2009 12
  • Digital Signal Processing for Communication Systems, MIYATA Shigeharu, Kluwer AcademicPublishers,   1997 05

Conference Activities & Talks

  • Method for recognition of numbers on speed limit signs utilizing an eigen space method based on the KL transform, 12th International conference on Control, Automation, Robotics and Vision(ICARCV 2012),   2012 12 , 12th International conference on Control, Automation, Robotics and Vision(ICARCV 2012)
  • Recognition of numbers on speed limit signs utilizing an eigen space method based on the KL transform,   2012 09
  • Traffic Sign Recognition Utilizing an Eigen Space Method Based on the KL Transform, 2011 International Conference on Management Manufacturing and Materials Engineering,   2011 12 , 2011 International Conference on Management Manufacturing and Materials Engineering

Misc

  • A STUDY ON THE STATISTICAL CHARACTERISTICS OF SPECKLE IN ULTRASONIC B-MODE IMAGING, S MIYATA, M OHTA, K ITO, K HAYAMI, K NAITO, Y KOTERA, ACUSTICA, 81, 1, 84, 89,   1995 01
  • A SIGNAL INFORMATION-PROCESSING FOR THE STOCHASTIC RESPONSE PREDICTION OF DOUBLE-WALL TYPE SOUND INSULATION SYSTEM, M OHTA, S MIYATA, IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, E77A, 7, 1194, 1198,   1994 07
    Summary:In direct connection with the signal information processing, a practical method of identification and probabilistic prediction for sound insulation systems is theoretically proposed in the object-oriented expression forms by introducing a few functional system parameters. Concretely, a trial of identification of the above functional system parameters and the output probabilistic prediction for a panel thickness change of double-wall type sound insulation system, especially, under the existence of a strong background noise inside of the reception room, is newly proposed based on one of wide sense digital filters and SEA (Statistical Energy Analysis) method. Finally, by using the actual music sound of an arbitrary distribution type, the effectiveness of the proposed method is confirmed experimentally by applying it to some problems of predicting the cumulative probability distribution of the transmitted sound level fluctuation.
  • A stochastic signal processing method for removing a wind noise based on the wide sense digital filter in a low frequency sound measurement, Mitsuo Ohta, Journal of the Acoustical Society of Japan (E), 15, 6, 397, 401,   1994 , 10.1250/ast.15.397
    Summary:As is well-known, in the measurement of low frequency sound, a main spectrum component of the wind noise coexists almost within the same frequency bands as the low frequency sound. Accordingly, it is essentially difficult to eliminate this effect of wind noise only by using the analog filter based on the usual electrical cricuit. From the above point of view, in this paper, a new trial of removing the above effect of wind noise are proposed, especially by focusing the dynamically computer aided algorithm of state estimation. Concretely, this method is based on the principle of Bayes’ filter. Finally, the effectiveness of the proposed state estimation method is experimentally confirmed too by applying it to the actual data of low frequency sound signal observed in a free sound field. © 1994, Acoustical Society of Japan. All rights reserved.
  • Generalization of Rician distribution for speckle pattern in ultrasound image processing and random flights problem in Shannon's signal space, Mitsuo Ohta, Shigeharu Miyata, Noboru Nakasako, Journal of the Acoustical Society of Japan (E), 13, 2, 101, 113,   1992 , 10.1250/ast.13.101
    Summary:In the ultrasound diagnosis field, an analysis of speckle image texture in ultrasound B-scans is one of the important researches using stochastic signal processing method. In this paper, it is focused on finding out theoretically the probability density function of the speckle image texture for the magnitude of speckle image. First, the occurrence mechanism of speckle image texture is treated as a random walk problem in a multi-dimensional signal space based on Shannon's sampling theorem, by newly introducing a Hankel transformation type characteristic function. As a result, a unified probability density function expression has been explicitly proposed and it has been clarified that the present expression agrees with the well-known Rayleigh and Rician probability density functions as two special cases. Then, the legitimacy and the effectiveness of proposed stochastic analysis method has been experimentally confirmed by applying it to the speckle pattern of clinical B-scan image actually utilized for diagnostic purpose. © 1992, Acoustical Society of Japan. All rights reserved.
  • A Comparison of Different Fluctuation Probability Expressions Based on the dB Scale Measurement of the Noise Environment of Road Traffic, ACUSTICA, 73,   1991
  • A Probabilistic Method for the Evaluation of Sound Intensity Fluctuation in an Absrobent Reverberation Room, ACUSTICA, 71,   1990

Research Grants & Projects

  • Image Analysis
  • Image Analysis