Yongkang Liu

Orcid: 0000-0001-6677-5122

Affiliations:
  • 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 26 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

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

Cooperverse: A Mobile-Edge-Cloud Framework for Universal Cooperative Perception with Mixed Connectivity and Automation.
CoRR, 2023

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

Dynamic Feature Sharing for Cooperative Perception from Point Clouds.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Continual Vision-based Reinforcement Learning with Group Symmetries.
Proceedings of the Conference on Robot Learning, 2023

2022
Vision-Cloud Data Fusion for ADAS: A Lane Change Prediction Case Study.
IEEE Trans. Intell. Veh., 2022

VINet: Lightweight, Scalable, and Heterogeneous Cooperative Perception for 3D Object Detection.
CoRR, 2022

Continual Reinforcement Learning with Group Symmetries.
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

Aggressive Driving Detection on Other Vehicles.
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

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

Demo: Nearby Aggressive Driving Detection.
Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022

2020
Long-Term Prediction of Lane Change Maneuver Through a Multilayer Perceptron.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

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

Intent detection and semantic parsing for navigation dialogue language processing.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017


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