Organization
Institutes of Innovation for Future Society Designated assistant professor
Title
Designated assistant professor
External link
YOSHIHARA Yuki
Degree 1
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博士（工学） （ 2008.3 東北大学 ）
Papers 8
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Influence of Social Distance Expressed by Driving Support Agent's Utterance on Psychological Acceptability
Miyamoto Tomoki, Katagami Daisuke, Shigemitsu Yuka, Usami Mayumi, Tanaka Takahiro, Kanamori Hitoshi, Yoshihara Yuki, Fujikake Kazuhiro
FRONTIERS IN PSYCHOLOGY Vol. 12 2021.2
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Driving Behavior Improvement through Driving Support and Review Support from Driver Agent
Tanaka Takahiro, Fujikake Kazuhiro, Yoshihara Yuki, Yonekawa Takashi, Inagami Makoto, Aoki Hirofumi, Kanamori Hitoshi
HAI'18: PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON HUMAN-AGENT INTERACTION page： 36 - 44 2018
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Towards Predictive Driving through Blind Intersections
Morales Luis Yoichi, Naoki Akai, Yoshihara Yuki, Murase Hiroshi
2018 21ST INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC) page： 716 - 722 2018
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Switching Adaptability in Human-Inspired Sidesteps: A Minimal Model
Fujii Keisuke, Yoshihara Yuki, Tanabe Hiroko, Yamamoto Yuji
FRONTIERS IN HUMAN NEUROSCIENCE Vol. 11 2017.6
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Robust Localization Using 3D NDT Scan Matching with Experimentally Determined Uncertainty and Road Marker Matching
Akai Naoki, Morales Luis Yoichi, Takeuchi Eijiro, Yoshihara Yuki, Ninomiya Yoshiki
2017 28TH IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV 2017) page： 1356 - 1363 2017
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Proactive Driving Modeling in Blind Intersections based on Expert Driver Data
Morales Yoichi, Yoshihara Yuki, Akai Naoki, Takeuchi Eijiro, Ninomiya Yoshiki
2017 28TH IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV 2017) page： 901 - 907 2017
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Autonomous Predictive Driving for Blind Intersections
Yoshihara Yuki, Morales Yoichi, Akai Naoki, Takeuchi Eijiro, Ninomiya Yoshiki
2017 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) page： 3452 - 3459 2017
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Autonomous Driving Based on Accurate Localization Using Multilayer LiDAR and Dead Reckoning
Akai Naoki, Morales Luis Yoichi, Yamaguchi Takuma, Takeuchi Eijiro, Yoshihara Yuki, Okuda Hiroyuki, Suzuki Tatsuya, Ninomiya Yoshiki
2017 IEEE 20TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC) 2017
KAKENHI (Grants-in-Aid for Scientific Research) 1
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Evaluation method of interpersonal competition skill by complementarily using control theory and dynamical system theory
Grant number：16K12995 2016.4 - 2019.3
Fujii Keisuke
Authorship：Coinvestigator(s)
In this research project, we considered that the functional cognition and movement observed in the process of competition in sports was "the skill of interpersonal competition", and aimed at evaluating this skill. Actually, the following two studies about motor control were conducted. (1) In order to understand the mechanism of motor control that responds flexibly to changes in situation, we constructed and verified a motion control model that changes direction at any time during movement. (2) We developed a method to extract dynamical information taking into account the label of motions (such as walking and running) from human motion data actually executed by many joints.