Faculty Profiles - ISHII Kazuo

Papers - ISHII Kazuo

Division display221 - 240 of about 489／ All the affair displays >>

Seafloor Image Color Enhancement Method based on Retinex model and Experiment Report in the undersea environment Reviewed

Jonghyun Ahn, Shinsuke Yasukawa, Yuya Nishida, Takashi Sonoda, Keisuke Watanabe, Kazuo Ishii

Proc. of The 2018 International Conference on Artificial ALife and Robotics 4 pages 2018.02

Analysis of Characteristics of Tomato Fruits in Infrared Images Toward Automatic Tomato Harvesting System Reviewed

Takuya Fujinaga, Shinsuke Yasukawa, Binghe Li, Kazuo Ishii

Proc. of The 2018 International Conference on Artificial ALife and Robotics 4 pages 2018.02

Strategy Analysis of Multi-Agent Games Using Self-Organizing Map Reviewed

Moeko Tominaga, Yasunori Takemura, Kazuo Ishii

Proc. of The 2018 International Conference on Artificial ALife and Robotics 4 pages 2018.02

Visual Feature Selection Using Saliency Map

MOCHIZUKI Ryuugo, ISHII Kazuo

The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) ( The Japan Society of Mechanical Engineers ) 2018 ( 0 ) 2A2 - L17 2018.01

Authorship：Last author,　Corresponding author Language：Japanese Publishing type：Research paper (conference, symposium, etc.)

Many saliency maps in visual image researches are proposed as human attention models. In general saliency maps, three image feature extractions, color contrast, edge gradient and intensity are utilized and DoG (Difference of Gaussian) is applied for each image feature to have a saliency map. We are focusing on selecting stable feature extraction to have stable saliency map. Although various sizes of objects exist in an image, stability of feature extraction is very important in various scales of images. If the DoG filter scale is improper, feature extraction does not work stably and also important feature can be missed after feature selection. In order to solve the problems, we propose to calculate the scale values which maximize differences between two different scale DoG images' scales so as to important objects are extracted.

DOI： 10.1299/jsmermd.2018.2A2-L17

CiNii Article

CiNii Research

Other Link： https://ci.nii.ac.jp/naid/130007551777

Vision-Based Behavior Strategy for Tomato Harvesting Robot (IV):-Mapping maturity and position of tomato-

FUJINAGA Takuya, YASUKAWA Shinsuke, LI Binghe, ISHII Kazuo

The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) ( The Japan Society of Mechanical Engineers ) 2018 ( 0 ) 1P1 - A05 2018.01

Authorship：Last author,　Corresponding author Language：Japanese Publishing type：Research paper (conference, symposium, etc.)

This paper presents a generation method of tomato growth state map that has maturity and position of tomato. The tomato growth state map is used for the tomato harvesting robot to automatically plan the harvesting movement. As a first step of generating the tomato growth state map, a mosaic image expressing the tomato cultivation environment is generated. Next, immature to mature tomato are recognized by recognition method using infrared image. Based on color and depth information, maturity of tomato is judged and tomato position is calculated. This information is added to the mosaic image, and the tomato growth state map is generated. 19 immature tomatoes and 7 mature tomatoes were automatically detected from tomato state growth map that generated from 10 images.

DOI： 10.1299/jsmermd.2018.1P1-A05

CiNii Article

CiNii Research

Other Link： https://ci.nii.ac.jp/naid/130007551123

Analysis of Cooperative Behavior in Futsal for Human and Robot Multi Agent System

TOMINAGA Moeko, TAKEMURA Yasunori, ISHII Kazuo

The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) ( The Japan Society of Mechanical Engineers ) 2018 ( 0 ) 2P2 - L09 2018.01

Authorship：Last author,　Corresponding author Language：Japanese Publishing type：Research paper (conference, symposium, etc.)

As technology develops, realization of a symbiotic society between human beings and robots sharing their environment has become one of most important subjects. For example, soccer is a multi-agent game that require strategies such as each members' position and defense. The behavior of a player changes depending on the game situation such as winning or losing, score gap, remaining time. The players may play offensive when their team is losing, or be defensive when their team is winning with minimum score difference. In this paper, human soccer game is observed and analyzed to determine how the state vector of each players affect team behavior. The team strategy is analyzed based on parameters such as the positions, the number players, score, time and actions of soccer robots using Self-Organizing Map(SOM)

DOI： 10.1299/jsmermd.2018.2P2-L09

CiNii Article

CiNii Research

Other Link： https://ci.nii.ac.jp/naid/130007552222

Underwater three-dimensional measurement using RGB structured-light:-Development the measurement device and verification of the influence of underwater environment-

SHIINNOKI Tomoya, NISHIDA Yuya, ISHII Kazuo

The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) ( The Japan Society of Mechanical Engineers ) 2018 ( 0 ) 2P2 - C07 2018.01

Authorship：Last author,　Corresponding author Language：Japanese Publishing type：Research paper (conference, symposium, etc.)

Rich undersea mineral resources are confirmed around Japan and the research about undersea mineral resources and deep sea creatures has been conducted actively. Since three-dimensional data could not be get by human, three-dimensional measurement technology is important in the deep sea survey. Therefore we designed a measuring device suitable for underwater environment.

DOI： 10.1299/jsmermd.2018.2P2-C07

CiNii Article

CiNii Research

Other Link： https://ci.nii.ac.jp/naid/130007551964

Deep-sea image enhancement using multi-scale retinex with reverse color loss for autonomous underwater vehicles Reviewed International journal

Mercado M., Ishii K., Ahn J.

OCEANS 2017 - Anchorage 2017-January 1 - 6 2017.12

Enhancement of deep-sea floor images obtained by an underwater vehicle and its evaluation by crab recognition Reviewed International journal

Ahn J., Yasukawa S., Sonoda T., Ura T., Ishii K.

Journal of Marine Science and Technology (Japan) 22 ( 4 ) 758 - 770 2017.12

Kinematics of Two-Roller-Driven Ball for RoboCup Soccer Robot Reviewed

Shota Chikushi, Tharindu Weerakoon, Takashi Sonoda, Kazuo Ishii

4 ( 3 ) 248 - 253 2017.12

Erratum to: Enhancement of deep-sea floor images obtained by an underwater vehicle and its evaluation by crab recognition (Journal of Marine Science and Technology, (2017), 22, 4, (758-770), 10.1007/s00773-017-0442-1) Reviewed

Ahn J., Yasukawa S., Sonoda T., Ura T., Ishii K.

Journal of Marine Science and Technology (Japan) 22 ( 4 ) 2017.12

Automatic Extraction of Thickness Information from Sub-Surface Acoustic Measurements of Manganese Crusts Reviewed

Neettiyath U., Thornton B., Sangekar M., Ishii K., Sato T., Bodenmann A., Ura T.

OCEANS 2017 - Aberdeen 2017-October 1 - 7 2017.10

Sea-floor image transmission system for AUV Reviewed International journal

Ahn J., Yasukawa S., Weerakoon T., Sonoda T., Nishida Y., Ura T., Ishii K.

OCEANS 2017 - Aberdeen 2017-October 1 - 6 2017.10

Efficient Place Recognition by Mobile Robot with Saliency Detection Reviewed

6 pages 2017.09

Generation of Mosaic Image in Tomato Greenhouse Using Infrared Image Reviewed

6 pages 2017.09

Development of a Hydraulic Underwater Manipulator for Deep-Sea Survey AUV Reviewed

Takashi Sonoda, Kazuo Ishii, Amir Ali Forough Nassiraei, Ivan Godler, Tharindu Weerakoon

Proc. of The 2017 International Conference on Artificial ALife and Robotics 242 - 245 4 pages 2017.01

Strategy Analysis of RoboCup Soccer Teams Using Self-Organizing Map Reviewed

Moeko Tominaga, Yasunori Takemura, Kazuo Ishii

Proc. of The 2017 International Conference on Artificial ALife and Robotics 421 - 424 4 pages 2017.01

Ball Dribbling Control for RoboCup Soccer Robot Reviewed

Shota Chikushi, Kenji Kimura, Kazuo Ishii

Proc. of The 2017 International Conference on Artificial ALife and Robotics 416 - 420 5 pages 2017.01

Development of a Tomato Harvesting Robot Reviewed

Shinsuke Yasukawa, Bingh Li, Takashi Sonoda,Kazuo Ishii

Proc. of The 2017 International Conference on Artificial ALife and Robotics 408 - 411 4 pages 2017.01

Development of End-effector for Sampling-AUV TUNA-SAND2 Reviewed

Kazuo Ishii, Takashi Sonoda, Atsushi Nishjima, Keisuke Watanabe

Proc. of The 2017 International Conference on Artificial ALife and Robotics 262 - 265 4 pages 2017.01

　 PREV - NEXT 　

<ISHII Kazuo>

Papers - ISHII Kazuo