Faculty Profiles - WAGATSUMA Hiroaki

Papers - WAGATSUMA Hiroaki

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Investigating the Effectiveness of the Sobel Operator in the MCA-based Automatic Crack Detection Reviewed International journal

2018.04

A Combination of Anisotropic Diffusion and Sobel Operator to Enhance the Performance of the Morphological Component Analysis for Automatic Crack Detection Reviewed International journal

2018.03

Autonomous quadcopter altitude for measuring risky gases in hazard area Reviewed International journal

10 ( 2-5 ) 31 - 34 2018.01

A semantic web technique as logical inference puzzle-solver for Bongard problems Reviewed International journal

2180 2018.01

An Application of Pix2Pix Approach from Aerial Photos to Vector Representation in the Digital Map and its Limitation

WON JungHyun, KANAMARU Kazuki, WAGATSUMA Hiroaki

Proceedings of the Fuzzy System Symposium ( Japan Society for Fuzzy Theory and Intelligent Informatics ) 34 ( 0 ) 330 - 333 2018.01

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

As a deep learning algorithm, software tools based on Generative Adversarial Network (GAN) are released in the form of pix2pix. In the present study, we report a preliminary study of the application of pix2pix to the automatic conversion from aerial photos to vector representation in the digital map and discuss its limitation.

DOI： 10.14864/fss.34.0_330

CiNii Article

CiNii Research

Other Link： http://id.ndl.go.jp/bib/029268673

A PHD Filter Solution for Instability of the Target Labeling in the Vehicle Installation EHF-Band Radar System

KANAMARU Kazuki, Fukushima Katsumi, WON JungHyun, WAGATSUMA Hiroaki

Proceedings of the Fuzzy System Symposium ( Japan Society for Fuzzy Theory and Intelligent Informatics ) 34 ( 0 ) 326 - 329 2018.01

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

As a limitation of the vision sensor or camera in the night and bad weather conditions, EHF-band radar is used to compensate the limitation. However, the disadvantage of the EHF-band radar is automatic generation of the clatter and multi-pass waves. In the present study, we applied the Probability Hypothesis Density (PHD) particle filter to treat the problem.

DOI： 10.14864/fss.34.0_326

CiNii Article

CiNii Research

Other Link： http://id.ndl.go.jp/bib/029268665

Integrated Simulator for Decision Making System of Autonomous Driving

Miyoshi Ryuhei, Miyazaki Ryogo, Hashimoto Kouhei, Ishida Yutaro, Watanabe Masahiko, Ui Kenichi, Ichise Ryutarou, Wagatsuma Hiroaki, Tamukoh Hakaru

Proceedings of the Fuzzy System Symposium ( Japan Society for Fuzzy Theory and Intelligent Informatics ) 34 ( 0 ) 450 - 455 2018.01

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

Autonomous driving is performed by artificial intelligence (AI) on a computer. If an accident is occurred, the autonomous driving system should show the evidence of decision making to analyze the reasons of accident. In this report, we propose an integrated simulator for a knowledge-based AI that shows the evidence of decision making. To construct the simulator, we combine Autoware, Gazebo and the knowledge-based AI. Autoware is an open source software for autonomous driving, and Gazebo can simulate arbitarary road environments. By using the proposed simulator, we can verify the practicality of knowledge-based AI for autonomous driving many times. Experimental results show that the proposed simulator successfully presents the evidence of decision making.

DOI： 10.14864/fss.34.0_450

CiNii Article

CiNii Research

Other Link： http://id.ndl.go.jp/bib/029269004

"Standardization of Data Formats, Metadata and Protocols for the Safety Assessment of Automated Driving Systems: A Mesoscopic Analysis" International journal

WAGATSUMA Hiroaki, WON JungHyun, KANAMARU Kazuki

Proceedings of the Fuzzy System Symposium ( Japan Society for Fuzzy Theory and Intelligent Informatics ) 34 ( 0 ) 456 - 458 2018.01

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

As an international automated driving research project, Pegasus Research Project is driven by the German organization, BMWi, is a hot topic, which discussed four issues: 1) Requirements Definition & Convert for Database, 2) Data Processing, 3) Scenario Compilation / Database and 4) Assessment of Highly Automated Driving Function. In the present study, we explore a mesoscopic model to solve the problem on the standardization of metadata in the safety assessment of automated driving systems, especially focusing on vehicle interaction scenario.

DOI： 10.14864/fss.34.0_456

CiNii Article

CiNii Research

Other Link： http://id.ndl.go.jp/bib/029269008

Unmanned aerial vehicle quadcopter: A review Reviewed International journal

14 ( 12 ) 5663 - 5675 2017.12

Quadcopter sensing system for risky area Reviewed International journal

216 - 219 2017.10

A Significant Correlation Between Scores in Sociality and Exam Implies the Enhancement of the Power of Lecture Through Student Status Visibility and Instructor's Feedback with the Assistance of 'Key Words Meeting' Reviewed International journal

2017.08

A Narrative Speech, Gaze and Gesturing Robot Accessing to Human Emotion and Memory Which is Investigated by Using a Simultaneous Recording of Electroencephalogram and Eye-Tracker System Reviewed International journal

2017.08

論理知識型AI に基づく自動運転のための危険予測システムの構築と評価 Reviewed

橋本康平，石田裕太郎，市瀬龍太郎，我妻広明，田向権

システム制御情報学会論文誌 2017.07

Removal of Drift and Blink Artifacts in EEG based on Sparse Morphological Decomposition Reviewed International journal

2017.07

MCA-Based Denosing for In-Vehicle EEG Measurements to Estimate the Driver's Mental Workload Influenced by Distractions Reviewed International journal

2017.07

A High-Precision Skilled Movement Evaluation by using Curvature Analysis in the Simultaneous Recording of 3D Motion Capture System and Intracranial Video-EEG Monitoring and Stimulation Reviewed International journal

2017.07

Energy-efficacy comparisons and multibody dynamics analyses of legged robots with different closed-loop mechanisms Reviewed International journal

40 ( 2 ) 123 - 153 2017.06

An Investigation of the EEG Noise Removal from Measurement Data During the Real Vehicle Driving by Using Morphological Component Analysis

IEICE technical report. Neurocomputing ( The Institute of Electronics, Information and Communication Engineers ) 116 ( 521 ) 31 - 36 2017.03

An Impact Force Analysis of the Simple Hammering Mechanism for Concrete Damage Detection

IEICE technical report. Neurocomputing ( The Institute of Electronics, Information and Communication Engineers ) 116 ( 521 ) 97 - 102 2017.03

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Papers - WAGATSUMA Hiroaki