Kyungtae Han

Orcid: 0000-0001-8291-5025

According to our database1, Kyungtae Han authored at least 62 papers between 2001 and 2024.

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

Timeline

Legend:

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On csauthors.net:

Bibliography

2024
Driver Digital Twin for Online Recognition of Distracted Driving Behaviors.
IEEE Trans. Intell. Veh., February, 2024

Unleashing the True Power of Age-of-Information: Service Aggregation in Connected and Autonomous Vehicles.
CoRR, 2024

Driving through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
DSORL: Data Source Optimization With Reinforcement Learning Scheme for Vehicular Named Data Networks.
IEEE Trans. Intell. Transp. Syst., 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

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

Visualization of Mobility Digital Twin: Framework Design, Case Study, and Future Challenges.
CoRR, 2023

Adaptive Delivery for High Definition Map Using A Multi-Arm Bandit Approach.
Proceedings of the 32nd Wireless and Optical Communications Conference, 2023

Real-Time Learning of Driving Gap Preference for Personalized Adaptive Cruise Control.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Exploring Vehicular Interaction from Trajectories Based on Granger Causality.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

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

Inverse Reinforcement Learning and Gaussian Process Regression-based Real-Time Framework for Personalized Adaptive Cruise Control.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 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

Interaction-Aware Personalized Vehicle Trajectory Prediction Using Temporal Graph Neural Networks.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Personalized Trajectory Prediction for Driving Behavior Modeling in Ramp-Merging Scenarios.
Proceedings of the Seventh IEEE International Conference on Robotic Computing, 2023

Unveiling Energy Efficiency in Deep Learning: Measurement, Prediction, and Scoring Across Edge Devices.
Proceedings of the IEEE/ACM Symposium on Edge Computing, 2023

AdaMap: High-Scalable Real-Time Cooperative Perception at the Edge.
Proceedings of the IEEE/ACM Symposium on Edge Computing, 2023

Poster: Efficient Video Instance Segmentation with Early Exit at the Edge.
Proceedings of the IEEE/ACM Symposium on Edge Computing, 2023

Real-Time Search-Driven Content Delivery in Vehicular Networks for AR/VR-Enabled Autonomous Vehicles.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

CoMap: Proactive Provision for Crowdsourcing Map in Automotive Edge Computing.
Proceedings of the IEEE International Conference on Communications, 2023

EPAM: A Predictive Energy Model for Mobile AI.
Proceedings of the IEEE International Conference on Communications, 2023

High Definition Map Data Optimization for Autonomous Driving in Vehicular Named Data Networks.
Proceedings of the IEEE International Conference on Communications, 2023

Confidence-Based Federated Distillation for Vision-Based Lane-Centering.
Proceedings of the IEEE International Conference on Acoustics, 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

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

Poster: Enabling High-Fidelity and Real-Time Mobility Digital Twin with Edge Computing.
Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 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

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

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

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

Graph Convolution Networks for Probabilistic Modeling of Driving Acceleration.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019
Vehicle-to-Vehicle Message Sender Identification for Co-Operative Driver Assistance Systems.
Proceedings of the 89th IEEE Vehicular Technology Conference, 2019

Edge Assisted Misbehavior Detection for Platoons.
Proceedings of the 2019 IEEE Vehicular Networking Conference, 2019

Probabilistic Modeling of Vehicle Acceleration and State Propagation With Long Short-Term Memory Neural Networks.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

A Case Study of Trust on Autonomous Driving.
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

2016
Statistical quality modeling of approximate hardware.
Proceedings of the 17th International Symposium on Quality Electronic Design, 2016

2015
Adaptive touch sampling for energy-efficient mobile platforms.
Proceedings of the Annual IEEE Systems Conference, 2015

A Polyhedral-based SystemC Modeling and Generation Framework for Effective Low-power Design Space Exploration.
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2015

Learning-Based Power Modeling of System-Level Black-Box IPs.
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2015

2013
A hybrid display frame buffer architecture for energy efficient display subsystems.
Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED), 2013

2009
Using checksum to reduce power consumption of display systems for low-motion content.
Proceedings of the 27th International Conference on Computer Design, 2009

2006
Optimum Wordlength Search Using Sensitivity Information.
EURASIP J. Adv. Signal Process., 2006

2004
Wordlength optimization with complexity-and-distortion measure and its application to broadband wireless demodulator design.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2001
Numerical word-length optimization for CDMA demodulator.
Proceedings of the 2001 International Symposium on Circuits and Systems, 2001


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