Yongkang Liu
Orcid: 0000-0001-6677-5122Affiliations:
- University of Texas at Dallas, Richardson, TX, USA
- Toyota North America R&D Labs, Mountain View, CA, USA
According to our database1,
Yongkang Liu
authored at least 30 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Internet Things J., July, 2024
2023
Cyber Mobility Mirror: A Deep Learning-Based Real-World Object Perception Platform Using Roadside LiDAR.
IEEE Trans. Intell. Transp. Syst., September, 2023
Cyber Mobility Mirror for Enabling Cooperative Driving Automation in Mixed Traffic: A Co-Simulation Platform.
IEEE Intell. Transp. Syst. Mag., 2023
Distracted driving detection based on the fusion of deep learning and causal reasoning.
Inf. Fusion, 2023
Cooperverse: A Mobile-Edge-Cloud Framework for Universal Cooperative Perception with Mixed Connectivity and Automation.
CoRR, 2023
Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023
Evaluation of Infrastructure-Assisted Cooperative Tracking of Vehicles Using Various Motion Models.
Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2023
Hierarchical Federated Learning with Mean Field Game Device Selection for Connected Vehicle Applications.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Poster: Towards Realistic Federated Learning Evaluations for Connected and Automated Vehicles.
Proceedings of the IEEE/ACM Symposium on Edge Computing, 2023
Proceedings of the Conference on Robot Learning, 2023
2022
IEEE Trans. Intell. Veh., 2022
VINet: Lightweight, Scalable, and Heterogeneous Cooperative Perception for 3D Object Detection.
CoRR, 2022
A Survey and Framework of Cooperative Perception: From Heterogeneous Singleton to Hierarchical Cooperation.
CoRR, 2022
Cyber Mobility Mirror: Deep Learning-based Real-time 3D Object Perception and Reconstruction Using Roadside LiDAR.
CoRR, 2022
Proceedings of the 96th Vehicular Technology Conference, 2022
Spatiotemporal Transformer Attention Network for 3D Voxel Level Joint Segmentation and Motion Prediction in Point Cloud.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022
Infrastructure-Based Object Detection and Tracking for Cooperative Driving Automation: A Survey.
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.
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.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022
2020
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
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.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Towards Complexity Level Classification of Driving Scenarios Using Environmental Information.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
2017
Navigation-orientated natural spoken language understanding for intelligent vehicle dialogue.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017