Zhengwei Bai

Orcid: 0000-0002-4867-021X

According to our database1, Zhengwei Bai authored at least 15 papers between 2019 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

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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

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

2022
Hybrid Reinforcement Learning-Based Eco-Driving Strategy for Connected and Automated Vehicles at Signalized Intersections.
IEEE Trans. Intell. Transp. Syst., 2022

GNSS/Accelerometer Adaptive Coupled Landslide Deformation Monitoring Technology.
Remote. Sens., 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

Cyber Mobility Mirror for Enabling Cooperative Driving Automation: A Co-Simulation Platform.
CoRR, 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

Infrastructure-Based Object Detection and Tracking for Cooperative Driving Automation: A Survey.
Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 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

2019
Deep Learning Based Motion Planning For Autonomous Vehicle Using Spatiotemporal LSTM Network.
CoRR, 2019

Deep Reinforcement Learning Based High-level Driving Behavior Decision-making Model in Heterogeneous Traffic.
CoRR, 2019


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