Ziran Wang

Orcid: 0000-0003-2702-7150

According to our database1, Ziran Wang authored at least 71 papers between 2017 and 2024.

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

Timeline

Legend:

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Online presence:

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Bibliography

2024
REDFormer: Radar Enlightens the Darkness of Camera Perception With Transformers.
IEEE Trans. Intell. Veh., January, 2024

Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges.
IEEE Trans. Intell. Veh., January, 2024

A Review of Full-Sized Autonomous Racing Vehicle Sensor Architecture.
CoRR, 2024

2023
Federated Transfer-Ordered-Personalized Learning for Driver Monitoring Application.
IEEE Internet Things J., October, 2023

Metamobility: Connecting Future Mobility With the Metaverse.
IEEE Veh. Technol. Mag., September, 2023

Driver Digital Twin for Online Prediction of Personalized Lane-Change Behavior.
IEEE Internet Things J., August, 2023

A New Era of Intelligent Vehicles and Intelligent Transportation Systems: Digital Twins and Parallel Intelligence.
IEEE Trans. Intell. Veh., April, 2023

Cloud and Edge Computing for Connected and Automated Vehicles.
Found. Trends Electron. Des. Autom., 2023

Large Language Models for Autonomous Driving: Real-World Experiments.
CoRR, 2023

LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs.
CoRR, 2023

A Survey on Multimodal Large Language Models for Autonomous Driving.
CoRR, 2023

MACP: Efficient Model Adaptation for Cooperative Perception.
CoRR, 2023

Receive, Reason, and React: Drive as You Say with Large Language Models in Autonomous Vehicles.
CoRR, 2023

Digital Ethics in Federated Learning.
CoRR, 2023

Drive as You Speak: Enabling Human-Like Interaction with Large Language Models in Autonomous Vehicles.
CoRR, 2023

Decentralized Federated Learning: A Survey and Perspective.
CoRR, 2023

Radar Enlighten the Dark: Enhancing Low-Visibility Perception for Automated Vehicles with Camera-Radar Fusion.
CoRR, 2023

Driver Monitoring-Based Lane-Change Prediction: A Personalized Federated Learning Framework.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

CEMFormer: Learning to Predict Driver Intentions from in-Cabin and External Cameras via Spatial-Temporal Transformers.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Radar Enlightens the Dark: Enhancing Low-Visibility Perception for Automated Vehicles with Camera-Radar Fusion.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

A Survey of Federated Learning for Connected and Automated Vehicles.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Human-Autonomy Teaming on Autonomous Vehicles with Large Language Model-Enabled Human Digital Twins.
Proceedings of the IEEE/ACM Symposium on Edge Computing, 2023

Peer-to-Peer Federated Continual Learning for Naturalistic Driving Action Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

M<sup>2</sup>DAR: Multi-View Multi-Scale Driver Action Recognition with Vision Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Game Theory-Based Ramp Merging for Mixed Traffic With Unity-SUMO Co-Simulation.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Digital Twin-Assisted Cooperative Driving at Non-Signalized Intersections.
IEEE Trans. Intell. Veh., 2022

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

Gaussian Process-Based Personalized Adaptive Cruise Control.
IEEE Trans. Intell. Transp. Syst., 2022

Cooperative Ramp Merging Design and Field Implementation: A Digital Twin Approach Based on Vehicle-to-Cloud Communication.
IEEE Trans. Intell. Transp. Syst., 2022

Planning for Automated Vehicles with Human Trust.
ACM Trans. Cyber Phys. Syst., 2022

The Role of Digital Twins in Connected and Automated Vehicles.
IEEE Intell. Transp. Syst. Mag., 2022

Mobility Digital Twin: Concept, Architecture, Case Study, and Future Challenges.
IEEE Internet Things J., 2022

Representing dynamic lanes in road network models.
Int. J. Geogr. Inf. Sci., 2022

ViT-DD: Multi-Task Vision Transformer for Semi-Supervised Driver Distraction Detection.
CoRR, 2022

A Study on Learning and Simulating Personalized Car-Following Driving Style.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

GapFormer: Fast Autoregressive Transformers meet RNNs for Personalized Adaptive Cruise Control.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Personalized Car Following for Autonomous Driving with Inverse Reinforcement Learning.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Online Prediction of Lane Change with a Hierarchical Learning-Based Approach.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Multi-task Weld Seam Recognition Network for Welding Robot based on Structured-light Vision.
Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022

2021
Spatiotemporal retrieval of dynamic video object trajectories in geographical scenes.
Trans. GIS, 2021

Construction of Stretching-Bending Sequential Pattern to Recognize Work Cycles for Earthmoving Excavator from Long Video Sequences.
Sensors, 2021

Monitoring the Work Cycles of Earthmoving Excavators in Earthmoving Projects Using UAV Remote Sensing.
Remote. Sens., 2021

A Game Theory Based Ramp Merging Strategy for Connected and Automated Vehicles in the Mixed Traffic: A Unity-SUMO Integrated Platform.
CoRR, 2021

Motion Estimation of Connected and Automated Vehicles under Communication Delay and Packet Loss of V2X Communications.
CoRR, 2021

Personalized Adaptive Cruise Control via Gaussian Process Regression.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Trust-based route planning for automated vehicles.
Proceedings of the ICCPS '21: ACM/IEEE 12th International Conference on Cyber-Physical Systems, 2021

Digital Twin Simulation of Connected and Automated Vehicles with the Unity Game Engine.
Proceedings of the IEEE 2nd International Conference on Digital Twins and Parallel Intelligence, 2021

2020
Driver Behavior Modeling Using Game Engine and Real Vehicle: A Learning-Based Approach.
IEEE Trans. Intell. Veh., 2020

Errata for "Cooperative Eco-Driving at Signalized Intersections in a Partially Connected and Automated Vehicle Environment".
IEEE Trans. Intell. Transp. Syst., 2020

Cooperative Eco-Driving at Signalized Intersections in a Partially Connected and Automated Vehicle Environment.
IEEE Trans. Intell. Transp. Syst., 2020

SVM+KF Target Tracking Strategy Using the Signal Strength in Wireless Sensor Networks.
Sensors, 2020

A Survey on Cooperative Longitudinal Motion Control of Multiple Connected and Automated Vehicles.
IEEE Intell. Transp. Syst. Mag., 2020

MOVESTAR: An Open-Source Vehicle Fuel and Emission Model based on USEPA MOVES.
CoRR, 2020

End-to-End Vision-Based Adaptive Cruise Control (ACC) Using Deep Reinforcement Learning.
CoRR, 2020

A Digital Twin Paradigm: Vehicle-to-Cloud Based Advanced Driver Assistance Systems.
Proceedings of the 91st IEEE Vehicular Technology Conference, 2020

Augmented Reality-Based Advanced Driver-Assistance System for Connected Vehicles.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Optimal Control-Based Eco-Ramp Merging System for Connected and Automated Vehicles.
Proceedings of the IEEE Intelligent Vehicles Symposium, 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
Optimal Control-Based Ramp Merging System for Connected and Automated Electric Vehicles.
CoRR, 2019

The State-of-the-Art of Coordinated Ramp Control with Mixed Traffic Conditions.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Early Findings from Field Trials of Heavy-Duty Truck Connected Eco-Driving System.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Lookup Table-Based Consensus Algorithm for Real-Time Longitudinal Motion Control of Connected and Automated Vehicles.
Proceedings of the 2019 American Control Conference, 2019

2018
Cluster-Wise Cooperative Eco-Approach and Departure Application for Connected and Automated Vehicles Along Signalized Arterials.
IEEE Trans. Intell. Veh., 2018

Agent-Based Modeling and Simulation of Connected and Automated Vehicles Using Game Engine: A Cooperative On-Ramp Merging Study.
CoRR, 2018

Deployment optimization for camera network coupling with geographic environment.
Ann. GIS, 2018

A Review on Cooperative Adaptive Cruise Control (CACC) Systems: Architectures, Controls, and Applications.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2017
Camera Coverage Estimation Based on Multistage Grid Subdivision.
ISPRS Int. J. Geo Inf., 2017

Developing a platoon-wide Eco-Cooperative Adaptive Cruise Control (CACC) system.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Cluster-wise cooperative eco-approach and departure application along signalized arterials.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Intra-platoon vehicle sequence optimization for eco-cooperative adaptive cruise control.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017


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