Faculty Profiles - OKUDA Hiroyuki

Papers - OKUDA Hiroyuki

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Scenario-Based Model Predictive Speed Controller Considering Probabilistic Constraint for Driving Scene with Pedestrian Reviewed

Arun Muraleedharan, Anh Tuan Tran, Hiroyuki Okuda, Tatsuya Suzuki

IEEE Intelligent Transportation Systems Society Conference(ITSC 2020) page： 1350 - 1356 2020.9

Multi-Task Model Predictive Control Based on Continuation with Intermediate Mode Reviewed

Kohei Honda, Hiroyuki Okuda, Tatsuya Suzuki

IEEE Intelligent Transportation Systems Society Conference(ITSC 2020) page： 713 - 719 2020.9

Model Structure Identification of Hybrid Dynamical Systems based on Unsupervised Clustering and Variable Selection Reviewed

Duc An Nguyen, Jude Nwadiuto, Hiroyuki Okuda, Tatsuya Suzuki

21st IFAC World Congress page： 1 - 6 2020.7

Scenario-based stochastic MPC for vehicle speed control considering the interaction with pedestrians Reviewed

Anh Tuan Tran, Arun Muraleedharan, Hiroyuki Okuda, Tatsuya Suzuki

21st IFAC World Congress page： 1 - 7 2020.7

Decision-Making in Interactions Between Two Vehicles at a Highway Junction Reviewed

Asaya Shimojo, Yuki Ninomiya, Shota Matsubayashi, Kazuhisa Miwa, Hitoshi Terai, Hiroyuki Okuda, Tatsuya Suzuki

HCI in Mobility, Transport, and Automotive Systems. Driving Behavior, Urban and Smart Mobility Vol. 12213 page： 104 - 113 2020.7

Piecewise ARXモデルに基づくインタラクティブな運転行動のモデリングと解析 Reviewed

山口拓真, 奥田裕之, 鈴木達也

知能と情報(日本知能情報ファジィ学会誌) Vol. 32 ( 3 ) page： 713 - 721 2020.6

Model Structure Identification of Hybrid Dynamical Systems based on Unsupervised Clustering and Variable Selection

Duc-An Nguyen, Nwadiuto Jude, Okuda Hiroyuki, Suzuki Tatsuya

IFAC PAPERSONLINE Vol. 53 ( 2 ) page： 1090 - 1095 2020

Scenario-based stochastic MPC for vehicle speed control considering the interaction with pedestrians

Anh-Tuan Tran, Muraleedharan Arun, Okuda Hiroyuki, Suzuki Tatsuya

IFAC PAPERSONLINE Vol. 53 ( 2 ) page： 15325 - 15331 2020

Scenario-based model predictive speed controller considering probabilistic constraint for driving scene with pedestrian

Muraleedharan Arun, Anh-Tuan Tran, Okuda Hiroyuki, Suzuki Tatsuya

2020 IEEE 23RD INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC) 2020

Multi-task Model Predictive Control based on Continuation with Intermediate Mode

Honda Kohei, Okuda Hiroyuki, Suzuki Tatsuya

2020 IEEE 23RD INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC) 2020

Modeling Car-Following Behavior in Downtown Area based on Unsupervised Clustering and Variable Selection Method

Duc-An Nguyen, Nwadiuto Jude, Okuda Hiroyuki, Suzuki Tatsuya

2020 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) page： 3714 - 3720 2020

Model predictive driving for tractor-trailer mobile robot with an omni-directional tractor

Ito Nobuaki, Okuda Hiroyuki, Suzuki Tatsuya

2020 59TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE) page： 1530 - 1533 2020

Model predictive driving for tractor-trailer system with omni-directional tractor

ITO Nobuaki, OKUDA Hiroyuki, SUZUKI Tatsuya

The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) Vol. 2020 ( 0 ) page： 1A1-G06 2020

Language：Japanese Publisher：The Japan Society of Mechanical Engineers

<p>Many researchers studied path planning and trajectory tracking of the tractor-trailer system. Most studies used a differential drive vehicle for a tractor. However, differential drive vehicles are stuck in some cases due to restrictions on their travel directions. In this paper, we solved that problem with the use of an omni-directional tractor, a kind of mobile robot being able to move every direction. As a trailer, a differential drive vehicle is used, which has no actuator. We control the tractor-trailer system by model predictive control based on its kinematic model and consider both path following and obstacle avoidance. Simulation results show its performance of the proposed tractor-trailer system.</p>

DOI： 10.1299/jsmermd.2020.1a1-g06

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Application of autonomous driving technologies for saving labor in production

Okuda Hiroyuki, Suzuki Tatsuya

The Proceedings of Conference of Tokai Branch Vol. 2020.69 ( 0 ) page： 420 2020

Analysis and Modeling of Real World Car-Following Driving in Downtown Area Based on Variable Structured Piecewise Linear Model Reviewed

Jude C. Nwadiuto, Hyuntai Chin, Hiroyuki Okuda, Tatsuya Suzuki

Proc. of 2019 IEEE Intelligent Transportation Systems Conference(ITSC) page： 1211-1216 2019.10

Analysis and Modeling of Real World Car-Following Driving in Downtown Area Based on Variable Structured Piecewise Linear Model Reviewed International journal

Jude C. Nwadiuto, Hyuntai Chin, Hiroyuki Okuda, Tatsuya Suzuki

Proc. of 2019 IEEE Intelligent Transportation Systems Conference(ITSC) page： 1211-1216 2019.10

A model predictive control-based lane merging strategy for autonomous vehicles Reviewed

Anh-Tuan Tran, Kawaguchi Masato, Okuda Hiroyuki, Suzuki Tatsuya

2019 30TH IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV19) page： 594-599 2019

Improvement of Control Performance of Sampling Based Model Predictive Control using GPU

Muraleedharan Arun, Okuda Hiroyuki, Suzuki Tatsuya

2019 30TH IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV19) page： 1999-2004 2019

Analysis and Modeling of Real World Car-Following Driving in Downtown Area Based on Variable Structured Piecewise Linear Model Reviewed

Nwadiuto Jude, Chin Hyuntai, Okuda Hiroyuki, Suzuki Tatsuya

2019 IEEE INTELLIGENT TRANSPORTATION SYSTEMS CONFERENCE (ITSC) page： 1211 - 1216 2019

A model predictive control-based lane merging strategy for autonomous vehicles

Anh-Tuan Tran, Kawaguchi Masato, Okuda Hiroyuki, Suzuki Tatsuya

2019 30TH IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV19) page： 594-599 2019

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Papers - OKUDA Hiroyuki