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ORCIDYongkang Liu 0005
Person information
- affiliation: University of Texas at Dallas, Richardson, TX, USA
- affiliation: Toyota North America R&D Labs, Mountain View, CA, USA
Other persons with the same name
- Yongkang Liu — disambiguation page
- Yongkang Liu 0001
![[0000-0002-0011-322X]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0011-322X")
— U.S. Food and Drug Administration, Silver Spring, MD, USA - Yongkang Liu 0002 — Northeastern University, Shenyang Shi, China
- Yongkang Liu 0003 — Huadian Qingdao Power Generation Company Ltd., Qingdao, China
- Yongkang Liu 0004 — People's Public Security University of China, Beijing, China
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Journal Articles
- 2023
[j3]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)- [j2]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) - 2022
- [j1]Yongkang Liu, Ziran Wang, Kyungtae Han, Zhenyu Shou, Prashant Tiwari, John H. L. Hansen:
Vision-Cloud Data Fusion for ADAS: A Lane Change Prediction Case Study. IEEE Trans. Intell. Veh. 7(2): 210-220 (2022)
Conference and Workshop Papers
- 2023
- [c18]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 - [c17]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 - [c16]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 - [c15]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 - [c14]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 - 2022
- [c13]Tomohiro Matsuda, Seyhan Ucar, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi:
Demo: Nearby Aggressive Driving Detection. SEC 2022: 279-280 - [c12]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 - [c11]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 - [c10]Yongkang Liu, Xuewei Qi, Emrah Akin Sisbot, Kentaro Oguchi:
Multi-Agent Trajectory Prediction with Graph Attention Isomorphism Neural Network. IV 2022: 273-279 - [c9]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 - [c8]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 - [c7]Tomohiro Matsuda, Seyhan Ucar, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi:
Aggressive Driving Detection on Other Vehicles. VTC Fall 2022: 1-5 - 2020
- [c6]Yongkang Liu, Ziran Wang, Kyungtae Han, Zhenyu Shou, Prashant Tiwari, John H. L. Hansen:
Sensor Fusion of Camera and Cloud Digital Twin Information for Intelligent Vehicles. IV 2020: 182-187 - [c5]Zhenyu Shou, Ziran Wang, Kyungtae Han, Yongkang Liu, Prashant Tiwari, Xuan Di:
Long-Term Prediction of Lane Change Maneuver Through a Multilayer Perceptron. IV 2020: 246-252 - 2019
- [c4]Yongkang Liu, John H. L. Hansen:
Towards Complexity Level Classification of Driving Scenarios Using Environmental Information. ITSC 2019: 810-815 - [c3]Ekim Yurtsever, Yongkang Liu, Jacob Lambert, Chiyomi Miyajima, Eijiro Takeuchi, Kazuya Takeda, John H. L. Hansen:
Risky Action Recognition in Lane Change Video Clips using Deep Spatiotemporal Networks with Segmentation Mask Transfer. ITSC 2019: 3100-3107 - 2017
- [c2]Yang Zheng, Yongkang Liu, John H. L. Hansen:
Intent detection and semantic parsing for navigation dialogue language processing. ITSC 2017: 1-6 - [c1]Yang Zheng, Yongkang Liu, John H. L. Hansen:
Navigation-orientated natural spoken language understanding for intelligent vehicle dialogue. Intelligent Vehicles Symposium 2017: 559-564
Informal and Other Publications
- 2023
- [i12]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
- [i11]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) - [i10]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) - [i9]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) - [i8]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) - [i7]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) - [i6]Shiqi Liu, Mengdi Xu, Peide Huang, Yongkang Liu, Kentaro Oguchi, Ding Zhao:
Continual Reinforcement Learning with Group Symmetries. CoRR abs/2210.12301 (2022) - [i5]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
- [i4]Yongkang Liu, Ziran Wang, Kyungtae Han, Zhenyu Shou, Prashant Tiwari, John H. L. Hansen:
Vision-Cloud Data Fusion for ADAS: A Lane Change Prediction Case Study. CoRR abs/2112.04042 (2021) - 2020
- [i3]Zhenyu Shou, Ziran Wang, Kyungtae Han, Yongkang Liu, Prashant Tiwari, Xuan Di:
Long-Term Prediction of Lane Change Maneuver Through a Multilayer Perceptron. CoRR abs/2006.12769 (2020) - [i2]Yongkang Liu, Ziran Wang, Kyungtae Han, Zhenyu Shou, Prashant Tiwari, John H. L. Hansen:
Sensor Fusion of Camera and Cloud Digital Twin Information for Intelligent Vehicles. CoRR abs/2007.04350 (2020) - 2019
- [i1]Ekim Yurtsever, Yongkang Liu, Jacob Lambert, Chiyomi Miyajima, Eijiro Takeuchi, Kazuya Takeda, John H. L. Hansen:
Risky Action Recognition in Lane Change Video Clips using Deep Spatiotemporal Networks with Segmentation Mask Transfer. CoRR abs/1906.02859 (2019)
Coauthor Index
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