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ORCIDKentaro Oguchi 0001
Person information
- affiliation: Toyota Motor North America R&D, InfoTech Labs, Mountain View, CA, USA
Other persons with the same name
- Kentaro Oguchi — disambiguation page
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Journal Articles
- 2023
[j2]Zhengwei Bai
, Guoyuan Wu, Xuewei Qi, Yongkang Liu, Kentaro Oguchi, Matthew J. Barth:
Cyber Mobility Mirror for Enabling Cooperative Driving Automation in Mixed Traffic: A Co-Simulation Platform. IEEE Intell. Transp. Syst. Mag. 15(2): 251-265 (2023)- [j1]Zhengwei Bai, Saswat Priyadarshi Nayak, Xuanpeng Zhao, Guoyuan Wu, Matthew J. Barth, Xuewei Qi, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi:
Cyber Mobility Mirror: A Deep Learning-Based Real-World Object Perception Platform Using Roadside LiDAR. IEEE Trans. Intell. Transp. Syst. 24(9): 9476-9489 (2023)
Conference and Workshop Papers
- 2024
- [c54]Chunghan Lee, Takamasa Higuchi, Seyhan Ucar, Naoya Kaneko, Onur Altintas, Kentaro Oguchi:
Poster: Performance Analysis of TCP CUBIC and BBR over V2V Wi-Fi. MobiSys 2024: 668-669 - 2023
- [c53]Shiqi Liu, Mengdi Xu, Peide Huang, Xilun Zhang, Yongkang Liu, Kentaro Oguchi, Ding Zhao:
Continual Vision-based Reinforcement Learning with Group Symmetries. CoRL 2023: 222-240 - [c52]Hao Yang, Yashar Zeiynali Farid, Seyhan Ucar, Kentaro Oguchi:
Toyota Woven City: Hierarchical Integrated Traffic Management in a Fully Connected and Automated Environment. ICNSC 2023: 1-8 - [c51]Seyhan Ucar, Emrah Akin Sisbot, Kentaro Oguchi:
Poster: Edge-Assisted Unsafe Driving Detection. SEC 2023: 276-278 - [c50]Hao Yang, Yashar Zeiynali Farid, Seyhan Ucar, Kentaro Oguchi:
Centralized Dynamic Vehicle Routing with Macroscopic Fundamental Diagram. ITSC 2023: 2023-2029 - [c49]Yashar Zeiynali Farid, Kentaro Oguchi:
Damping Periodic Stop-and-go Waves in Connected Vehicle Environments. ITSC 2023: 3174-3179 - [c48]Zhengwei Bai, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi:
Dynamic Feature Sharing for Cooperative Perception from Point Clouds. ITSC 2023: 3970-3976 - [c47]Hao Gao, Yongkang Liu, Emrah Akin Sisbot, Yashar Zeiynali Farid, Kentaro Oguchi, Zhu Han:
Hierarchical Federated Learning with Mean Field Game Device Selection for Connected Vehicle Applications. IV 2023: 1-6 - [c46]Kathy Jang, Yashar Zeiynali Farid, Kentaro Oguchi:
Cooperative Reinforcement Learning-based Damping of Lane-Change-Induced Waves. IV 2023: 1-7 - [c45]Abdul Rahman Kreidieh, Yashar Zeiynali Farid, Kentaro Oguchi:
Lateral flow control of connected vehicles through deep reinforcement learning. IV 2023: 1-7 - [c44]Seyhan Ucar, Emrah Akin Sisbot, Haritha Muralidharan, Kentaro Oguchi:
Nearby Unsafe Driving Detection. IV 2023: 1-6 - [c43]Yashar Zeiynali Farid, Sergei S. Avedisov, Onur Altintas, Kentaro Oguchi:
Cooperative Damping of Lane-change-induced Disturbances via Local Density Reduction. MT-ITS 2023: 1-7 - [c42]Saswat Priyadarshi Nayak, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi:
Evaluation of Infrastructure-Assisted Cooperative Tracking of Vehicles Using Various Motion Models. PLANS 2023: 243-253 - [c41]Seyhan Ucar, Sachin Sharma, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi, Richard T. Meyer:
Field Experiments: Rear Vehicle Behavior Awareness to Avoid Rear-End Collisions. SECON 2023: 372-374 - [c40]Seyhan Ucar, Takamasa Higuchi, Onur Altintas, Kentaro Oguchi:
Remote Vehicular Micro Clouds. VNC 2023: 191-194 - 2022
- [c39]Hao Yang, Yashar Zeiynali Farid, Kentaro Oguchi:
Cost and Benefit Analysis of An Integrated Traffic Management System Utilizing Connected Vehicles. ICNSC 2022: 1-8 - [c38]Seyhan Ucar, Hao Yang, Kentaro Oguchi:
Poster: Distracted Driving Management. SEC 2022: 277-278 - [c37]Tomohiro Matsuda, Seyhan Ucar, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi:
Demo: Nearby Aggressive Driving Detection. SEC 2022: 279-280 - [c36]Hao Yang, Kentaro Oguchi:
Model and Evaluation of a Centralized Non-recurrent Queue Management System for Road Events. IntelliSys (2) 2022: 282-297 - [c35]Mengdi Xu, Peide Huang, Fengpei Li, Jiacheng Zhu, Xuewei Qi, Kentaro Oguchi, Zhiyuan Huang, Henry Lam, Ding Zhao:
Scalable Safety-Critical Policy Evaluation with Accelerated Rare Event Sampling. IROS 2022: 12919-12926 - [c34]Seyhan Ucar, Emrah Akin Sisbot, Haritha Muralidharan, Kentaro Oguchi:
Distracted Driving Detection in Stop-And-Go Traffic. ITSC 2022: 1196-1201 - [c33]Zhengwei Bai, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi:
PillarGrid: Deep Learning-Based Cooperative Perception for 3D Object Detection from Onboard-Roadside LiDAR. ITSC 2022: 1743-1749 - [c32]Abdul Rahman Kreidieh, Yashar Zeiynali Farid, Kentaro Oguchi:
Lane assignment of connected vehicles via a hierarchical system. ITSC 2022: 2372-2378 - [c31]Jiahe Cao, Zhouqiao Zhao, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi:
Real-time Adaptive Background Subtraction for Traffic Scenarios at Signalized Intersections Based on Roadside Fish-eye Cameras. ITSC 2022: 4189-4195 - [c30]Yongkang Liu, Xuewei Qi, Emrah Akin Sisbot, Kentaro Oguchi:
Multi-Agent Trajectory Prediction with Graph Attention Isomorphism Neural Network. IV 2022: 273-279 - [c29]Zhengwei Bai, Guoyuan Wu, Xuewei Qi, Yongkang Liu, Kentaro Oguchi, Matthew J. Barth:
Infrastructure-Based Object Detection and Tracking for Cooperative Driving Automation: A Survey. IV 2022: 1366-1373 - [c28]Zhensong Wei, Xuewei Qi, Zhengwei Bai, Guoyuan Wu, Saswat Priyadarshi Nayak, Peng Hao, Matthew J. Barth, Yongkang Liu, Kentaro Oguchi:
Spatiotemporal Transformer Attention Network for 3D Voxel Level Joint Segmentation and Motion Prediction in Point Cloud. IV 2022: 1381-1386 - [c27]Abdul Rahman Kreidieh, Yashar Zeiynali Farid, Kentaro Oguchi:
Non-local Evasive Overtaking of Downstream Incidents in Distributed Behavior Planning of Connected Vehicles. IV 2022: 1453-1459 - [c26]Hao Yang, Yashar Zeiynali Farid, Kentaro Oguchi:
Systematic Evaluation of A Centralized Non-Recurrent Queue Management System. IV 2022: 1487-1494 - [c25]Seyhan Ucar, Haritha Muralidharan, Emrah Akin Sisbot, Kentaro Oguchi:
Demo: Distracted Driving Detection. PerCom Workshops 2022: 70-72 - [c24]Tomohiro Matsuda, Seyhan Ucar, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi:
Aggressive Driving Detection on Other Vehicles. VTC Fall 2022: 1-5 - 2021
- [c23]Takamasa Higuchi, Kentaro Oguchi:
On the Predictability of Parking Preferences. UbiComp/ISWC Adjunct 2021: 30-31 - [c22]Seyhan Ucar, Baik Hoh, Kentaro Oguchi:
Differential Deviation Based Abnormal Driving Behavior Detection. ITSC 2021: 1553-1558 - [c21]Hao Yang, Yashar Zeiynali Farid, Seyhan Ucar, Baik Hoh, Kentaro Oguchi:
Socially Responsible Connected Mobility. ITSC 2021: 2156-2162 - [c20]Hao Yang, Kentaro Oguchi:
Development of Non-Recurrent Queue Management System with Connected Vehicles. ITSC 2021: 2471-2477 - [c19]Seyhan Ucar, Kentaro Oguchi:
Demo: Distracted Driving Behavior Detection To Avoid Rear-End Collisions. VNC 2021: 115-116 - [c18]Seyhan Ucar, Baik Hoh, Kentaro Oguchi:
Abnormal Driving Behavior Detection System. VTC Spring 2021: 1-6 - 2020
- [c17]Baik Hoh, Seyhan Ucar, Pratham Oza, Chinmaya Patnayak, Kentaro Oguchi:
CORR: Collaborative On-Road Reputation. CAVS 2020: 1-6 - [c16]Takamasa Higuchi, Kentaro Oguchi:
Monitoring Live Parking Availability by Vision-based Vehicular Crowdsensing. GLOBECOM 2020: 1-5 - [c15]Ippei Nishitani, Hao Yang, Rui Guo, Shalini Keshavamurthy, Kentaro Oguchi:
Deep Merging: Vehicle Merging Controller Based on Deep Reinforcement Learning with Embedding Network. ICRA 2020: 216-221 - [c14]Yuta Kataoka, Hao Yang, Shalini Keshavamurthy, Ippei Nishitani, Kentaro Oguchi:
Traffic Impact Analysis of a Deep Reinforcement Learning-based Multi-lane Freeway Vehicle Control. ITSC 2020: 1-6 - [c13]Hao Yang, Ken Oguchi:
Anomaly Management: Reducing the Impact of Anomalous Drivers with Connected Vehicles. IV 2020: 553-559 - 2019
- [c12]Rui Guo, Haritha Muralidharan, Shalini Keshavamurthy, Kentaro Oguchi:
Temporary Vehicle ID With Deep Hashing. ICITE 2019: 169-174 - [c11]Rui Guo, Babajide Ayinde, Hao Sun, Haritha Muralidharan, Kentaro Oguchi:
Monocular Depth Estimation Using Synthetic Images With Shadow Removal. ITSC 2019: 1432-1439 - [c10]Hao Yang, Ken Oguchi:
Integrated Traffic Management System under Connected Environment. ITSC 2019: 3379-3386 - [c9]Hao Yang, Ken Oguchi:
Multi-lane Freeway Oscillation Mitigation at Early-Stage Development of Connected Vehicles. IV 2019: 2072-2079 - [c8]Seyhan Ucar, Chinmaya Patnayak, Pratham Oza, Baik Hoh, Kentaro Oguchi:
Management of Anomalous Driving Behavior. VNC 2019: 1-4 - 2018
- [c7]Hao Yang, Ken Oguchi:
Connected Vehicle Enhanced Vehicle Routing with Intersection Turning Cost Estimation. ITSC 2018: 537-542 - [c6]Rui Guo, Shalini Keshavamurthy, Kentaro Oguchi:
Simultaneous Object Detection and Association in Connected Vehicle Platform. Intelligent Vehicles Symposium 2018: 840-845 - 2017
- [c5]Ana C. Huamán Quispe, Eric Martinson, Kentaro Oguchi:
Learning user preferences for robot-human handovers. IROS 2017: 834-839 - [c4]Eric Martinson, Ana C. Huamán Quispe, Kentaro Oguchi:
Towards understanding user preferences in robot-human handovers: How do we decide? RO-MAN 2017: 516-521 - 2012
- [c3]Kazunari Nawa, Naiwala P. Chandrasiri, Tadashi Yanagihara, Kentaro Oguchi:
Information analysis and presentation based on cyber physical system for automobiles. AutomotiveUI 2012: 273-276 - [c2]Rahul Parundekar, Kentaro Oguchi:
Learning Driver Preferences of POIs Using a Semantic Web Knowledge System. ESWC 2012: 703-717 - [c1]Rahul Parundekar, Kentaro Oguchi:
Driver Recommendations of POIs using a Semantic Content-based Approach. SeRSy 2012: 13-24
Informal and Other Publications
- 2024
- [i12]Vindula Jayawardana, Sirui Li, Cathy Wu, Yashar Zeiynali Farid, Kentaro Oguchi:
Generalizing Cooperative Eco-driving via Multi-residual Task Learning. CoRR abs/2403.04232 (2024) - 2023
- [i11]Zhengwei Bai, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi:
Cooperverse: A Mobile-Edge-Cloud Framework for Universal Cooperative Perception with Mixed Connectivity and Automation. CoRR abs/2302.03128 (2023) - 2022
- [i10]Zhengwei Bai, Guoyuan Wu, Xuewei Qi, Kentaro Oguchi, Matthew J. Barth:
Cyber Mobility Mirror for Enabling Cooperative Driving Automation: A Co-Simulation Platform. CoRR abs/2201.09463 (2022) - [i9]Zhengwei Bai, Guoyuan Wu, Xuewei Qi, Yongkang Liu, Kentaro Oguchi, Matthew J. Barth:
Infrastructure-Based Object Detection and Tracking for Cooperative Driving Automation: A Survey. CoRR abs/2201.11871 (2022) - [i8]Zhengwei Bai, Saswat Priyadarshi Nayak, Xuanpeng Zhao, Guoyuan Wu, Matthew J. Barth, Xuewei Qi, Yongkang Liu, Kentaro Oguchi:
Cyber Mobility Mirror: Deep Learning-based Real-time 3D Object Perception and Reconstruction Using Roadside LiDAR. CoRR abs/2202.13505 (2022) - [i7]Zhensong Wei, Xuewei Qi, Zhengwei Bai, Guoyuan Wu, Saswat Priyadarshi Nayak, Peng Hao, Matthew J. Barth, Yongkang Liu, Kentaro Oguchi:
Spatiotemporal Transformer Attention Network for 3D Voxel Level Joint Segmentation and Motion Prediction in Point Cloud. CoRR abs/2203.00138 (2022) - [i6]Zhengwei Bai, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi:
PillarGrid: Deep Learning-based Cooperative Perception for 3D Object Detection from Onboard-Roadside LiDAR. CoRR abs/2203.06319 (2022) - [i5]Abdul Rahman Kreidieh, Yashar Zeiynali Farid, Kentaro Oguchi:
Non-local Evasive Overtaking of Downstream Incidents in Distributed Behavior Planning of Connected Vehicles. CoRR abs/2206.14391 (2022) - [i4]Zhengwei Bai, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi, Zhitong Huang:
A Survey and Framework of Cooperative Perception: From Heterogeneous Singleton to Hierarchical Cooperation. CoRR abs/2208.10590 (2022) - [i3]Shiqi Liu, Mengdi Xu, Peide Huang, Yongkang Liu, Kentaro Oguchi, Ding Zhao:
Continual Reinforcement Learning with Group Symmetries. CoRR abs/2210.12301 (2022) - [i2]Zhengwei Bai, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi:
VINet: Lightweight, Scalable, and Heterogeneous Cooperative Perception for 3D Object Detection. CoRR abs/2212.07060 (2022) - 2021
- [i1]Mengdi Xu, Peide Huang, Fengpei Li, Jiacheng Zhu, Xuewei Qi, Kentaro Oguchi, Zhiyuan Huang, Henry Lam, Ding Zhao:
Accelerated Policy Evaluation: Learning Adversarial Environments with Adaptive Importance Sampling. CoRR abs/2106.10566 (2021)
Coauthor Index
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