Yongkang Liu

According to our database, Yongkang Liu authored at least 30 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Survey and Framework of Cooperative Perception: From Heterogeneous Singleton to Hierarchical Cooperation.

Zhengwei Bai, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi, Zhitong Huang

IEEE Trans. Intell. Transp. Syst., November, 2024

Pillar Attention Encoder for Adaptive Cooperative Perception.

Zhengwei Bai, Guoyuan Wu, Matthew J. Barth, Hang Qiu, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi

IEEE Internet Things J., July, 2024

2023

Cyber Mobility Mirror: A Deep Learning-Based Real-World Object Perception Platform Using Roadside LiDAR.

Zhengwei Bai, Saswat Priyadarshi Nayak, Xuanpeng Zhao, Guoyuan Wu, Matthew J. Barth, Xuewei Qi, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi

IEEE Trans. Intell. Transp. Syst., September, 2023

Cyber Mobility Mirror for Enabling Cooperative Driving Automation in Mixed Traffic: A Co-Simulation Platform.

Zhengwei Bai, Guoyuan Wu, Xuewei Qi, Yongkang Liu, Kentaro Oguchi, Matthew J. Barth

IEEE Intell. Transp. Syst. Mag., 2023

Distracted driving detection based on the fusion of deep learning and causal reasoning.

Peng Ping, Cong Huang, Weiping Ding, Yongkang Liu, Chiyomi Miyajima, Kazuya Takeda

Inf. Fusion, 2023

Cooperverse: A Mobile-Edge-Cloud Framework for Universal Cooperative Perception with Mixed Connectivity and Automation.

Zhengwei Bai, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi

CoRR, 2023

Field Experiments: Rear Vehicle Behavior Awareness to Avoid Rear-End Collisions.

Seyhan Ucar, Sachin Sharma, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi, Richard T. Meyer

Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023

Evaluation of Infrastructure-Assisted Cooperative Tracking of Vehicles Using Various Motion Models.

Saswat Priyadarshi Nayak, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi

Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2023

Hierarchical Federated Learning with Mean Field Game Device Selection for Connected Vehicle Applications.

Hao Gao, Yongkang Liu, Emrah Akin Sisbot, Yashar Zeiynali Farid, Kentaro Oguchi, Zhu Han

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Dynamic Feature Sharing for Cooperative Perception from Point Clouds.

Zhengwei Bai, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Poster: Towards Realistic Federated Learning Evaluations for Connected and Automated Vehicles.

Yongkang Liu, Chianing Wang, Kentaro Oguchi

Proceedings of the IEEE/ACM Symposium on Edge Computing, 2023

Continual Vision-based Reinforcement Learning with Group Symmetries.

Shiqi Liu, Mengdi Xu, Peide Huang, Xilun Zhang, Yongkang Liu, Kentaro Oguchi, Ding Zhao

Proceedings of the Conference on Robot Learning, 2023

2022

Vision-Cloud Data Fusion for ADAS: A Lane Change Prediction Case Study.

Yongkang Liu, Ziran Wang, Kyungtae Han, Zhenyu Shou, Prashant Tiwari, John H. L. Hansen

IEEE Trans. Intell. Veh., 2022

VINet: Lightweight, Scalable, and Heterogeneous Cooperative Perception for 3D Object Detection.

Zhengwei Bai, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi

CoRR, 2022

Continual Reinforcement Learning with Group Symmetries.

Shiqi Liu, Mengdi Xu, Peide Huang, Yongkang Liu, Kentaro Oguchi, Ding Zhao

CoRR, 2022

Cyber Mobility Mirror: Deep Learning-based Real-time 3D Object Perception and Reconstruction Using Roadside LiDAR.

Zhengwei Bai, Saswat Priyadarshi Nayak, Xuanpeng Zhao, Guoyuan Wu, Matthew J. Barth, Xuewei Qi, Yongkang Liu, Kentaro Oguchi

CoRR, 2022

Aggressive Driving Detection on Other Vehicles.

Tomohiro Matsuda, Seyhan Ucar, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi

Proceedings of the 96th Vehicular Technology Conference, 2022

Spatiotemporal Transformer Attention Network for 3D Voxel Level Joint Segmentation and Motion Prediction in Point Cloud.

Zhensong Wei, Xuewei Qi, Zhengwei Bai, Guoyuan Wu, Saswat Priyadarshi Nayak, Peng Hao, Matthew J. Barth, Yongkang Liu, Kentaro Oguchi

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

An enhanced driver's risk perception modeling based on gate recurrent unit network.

Peng Ping, Weiping Ding, Yongkang Liu, Kazuya Takeda

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Multi-Agent Trajectory Prediction with Graph Attention Isomorphism Neural Network.

Yongkang Liu, Xuewei Qi, Emrah Akin Sisbot, Kentaro Oguchi

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Infrastructure-Based Object Detection and Tracking for Cooperative Driving Automation: A Survey.

Zhengwei Bai, Guoyuan Wu, Xuewei Qi, Yongkang Liu, Kentaro Oguchi, Matthew J. Barth

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Real-time Adaptive Background Subtraction for Traffic Scenarios at Signalized Intersections Based on Roadside Fish-eye Cameras.

Jiahe Cao, Zhouqiao Zhao, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

PillarGrid: Deep Learning-Based Cooperative Perception for 3D Object Detection from Onboard-Roadside LiDAR.

Zhengwei Bai, Guoyuan Wu, Matthew J. Barth, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Demo: Nearby Aggressive Driving Detection.

Tomohiro Matsuda, Seyhan Ucar, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi

Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022

2020

Long-Term Prediction of Lane Change Maneuver Through a Multilayer Perceptron.

Zhenyu Shou, Ziran Wang, Kyungtae Han, Yongkang Liu, Prashant Tiwari, Xuan Di

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Sensor Fusion of Camera and Cloud Digital Twin Information for Intelligent Vehicles.

Yongkang Liu, Ziran Wang, Kyungtae Han, Zhenyu Shou, Prashant Tiwari, John H. L. Hansen

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

2019

Risky Action Recognition in Lane Change Video Clips using Deep Spatiotemporal Networks with Segmentation Mask Transfer.

Ekim Yurtsever, Yongkang Liu, Jacob Lambert, Chiyomi Miyajima, Eijiro Takeuchi, Kazuya Takeda, John H. L. Hansen

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Towards Complexity Level Classification of Driving Scenarios Using Environmental Information.

Yongkang Liu, John H. L. Hansen

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2017

Navigation-orientated natural spoken language understanding for intelligent vehicle dialogue.

Yang Zheng, Yongkang Liu, John H. L. Hansen

Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Intent detection and semantic parsing for navigation dialogue language processing.

Yang Zheng, Yongkang Liu, John H. L. Hansen

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017