Kyungtae Han

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 83

Top Topics

Inverse Reinforcement Learning

Driver Assistance

Autonomous Driving

Top Venues

IEEE Trans. Intell. Veh.

Publications

Chuheng Wei, Guoyuan Wu, Matthew J. Barth, Amr Abdelraouf, Rohit Gupta, Kyungtae Han
KI-GAN: Knowledge-Informed Generative Adversarial Networks for Enhanced Multi-Vehicle Trajectory Forecasting at Signalized Intersections. CoRR (2024)
Anik Mallik, Dawei Chen, Kyungtae Han, Jiang (Linda) Xie, Zhu Han
Unleashing the True Power of Age-of-Information: Service Aggregation in Connected and Autonomous Vehicles. CoRR (2024)
Daniel Mawunyo Doe, Dawei Chen, Kyungtae Han, Jiang (Linda) Xie, Zhu Han
Enhancing AR/VR Performance via Optimized Edge-based Object Detection for Connected Autonomous Vehicles. IV (2024)
Yunsheng Ma, Runjia Du, Amr Abdelraouf, Kyungtae Han, Rohit Gupta, Ziran Wang
Driver Digital Twin for Online Recognition of Distracted Driving Behaviors. IEEE Trans. Intell. Veh. 9 (2) (2024)
Ziye Qin, Siyan Li, Guoyuan Wu, Matthew J. Barth, Amr Abdelraouf, Rohit Gupta, Kyungtae Han
Investigating Personalized Driving Behaviors in Dilemma Zones: Analysis and Prediction of Stop-or-Go Decisions. CoRR (2024)
Daniel Mawunyo Doe, Dawei Chen, Kyungtae Han, Haoxin Wang, Jiang (Linda) Xie, Zhu Han
Edge-Assisted Indexing for Highly Dynamic and Static Data in Mixed Reality Connected Autonomous Vehicles. Intell. Converged Networks 5 (2) (2024)
Jessica Maria Echterhoff, An Yan, Kyungtae Han, Amr Abdelraouf, Rohit Gupta, Julian J. McAuley
Driving through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving. WACV (2024)
Zhouqiao Zhao, Xishun Liao, Amr Abdelraouf, Kyungtae Han, Rohit Gupta, Matthew J. Barth, Guoyuan Wu
Inverse Reinforcement Learning and Gaussian Process Regression-based Real-Time Framework for Personalized Adaptive Cruise Control. ITSC (2023)
Daniel Mawunyo Doe, Dawei Chen, Kyungtae Han, Haoxin Wang, Jiang Xie, Zhu Han
DSORL: Data Source Optimization With Reinforcement Learning Scheme for Vehicular Named Data Networks. IEEE Trans. Intell. Transp. Syst. 24 (10) (2023)
Yongjie Xue, Yuru Zhang, Qiang Liu, Dawei Chen, Kyungtae Han
CoMap: Proactive Provision for Crowdsourcing Map in Automotive Edge Computing. CoRR (2023)
Yunsheng Ma, Wenqian Ye, Xu Cao, Amr Abdelraouf, Kyungtae Han, Rohit Gupta, Ziran Wang
CEMFormer: Learning to Predict Driver Intentions from in-Cabin and External Cameras via Spatial-Temporal Transformers. ITSC (2023)
Runjia Du, Kyungtae Han, Rohit Gupta, Sikai Chen, Samuel Labi, Ziran Wang
Driver Monitoring-Based Lane-Change Prediction: A Personalized Federated Learning Framework. IV (2023)
Xiaolong Tu, Anik Mallik, Dawei Chen, Kyungtae Han, Onur Altintas, Haoxin Wang, Jiang Xie
Unveiling Energy Efficiency in Deep Learning: Measurement, Prediction, and Scoring Across Edge Devices. sec (2023)
Amr Abdelraouf, Rohit Gupta, Kyungtae Han
Interaction-Aware Personalized Vehicle Trajectory Prediction Using Temporal Graph Neural Networks. ITSC (2023)
Yitao Chen, Ming Zhao, Dawei Chen, Kyungtae Han, John Kenney
Poster: Efficient Video Instance Segmentation with Early Exit at the Edge. sec (2023)
Siyan Li, Chuheng Wei, Guoyuan Wu, Matthew J. Barth, Amr Abdelraouf, Rohit Gupta, Kyungtae Han
Personalized Trajectory Prediction for Driving Behavior Modeling in Ramp-Merging Scenarios. IRC (2023)
Jessica Maria Echterhoff, An Yan, Kyungtae Han, Amr Abdelraouf, Rohit Gupta, Julian J. McAuley
Driving through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving. CoRR (2023)
Daniel Mawunyo Doe, Dawei Chen, Kyungtae Han, Haoxin Wang, Jiang (Linda) Xie, Zhu Han
High Definition Map Data Optimization for Autonomous Driving in Vehicular Named Data Networks. ICC (2023)
Yunsheng Ma, Can Cui, Xu Cao, Wenqian Ye, Peiran Liu, Juanwu Lu, Amr Abdelraouf, Rohit Gupta, Kyungtae Han, Aniket Bera, James M. Rehg, Ziran Wang
LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs. CoRR (2023)
Yunsheng Ma, Wenqian Ye, Xu Cao, Amr Abdelraouf, Kyungtae Han, Rohit Gupta, Ziran Wang
CEMFormer: Learning to Predict Driver Intentions from In-Cabin and External Cameras via Spatial-Temporal Transformers. CoRR (2023)
Xishun Liao, Xuanpeng Zhao, Ziran Wang, Zhouqiao Zhao, Kyungtae Han, Rohit Gupta, Matthew J. Barth, Guoyuan Wu
Driver Digital Twin for Online Prediction of Personalized Lane-Change Behavior. IEEE Internet Things J. 10 (15) (2023)
Yitao Chen, Dawei Chen, Haoxin Wang, Kyungtae Han, Ming Zhao
Confidence-based federated distillation for vision-based lane-centering. CoRR (2023)
Yitao Chen, Dawei Chen, Haoxin Wang, Kyungtae Han, Ming Zhao
Confidence-Based Federated Distillation for Vision-Based Lane-Centering. ICASSP Workshops (2023)
Xiaolong Tu, Anik Mallik, Dawei Chen, Kyungtae Han, Onur Altintas, Haoxin Wang, Jiang (Linda) Xie
Unveiling Energy Efficiency in Deep Learning: Measurement, Prediction, and Scoring across Edge Devices. CoRR (2023)
Zhouqiao Zhao, Xishun Liao, Amr Abdelraouf, Kyungtae Han, Rohit Gupta, Matthew J. Barth, Guoyuan Wu
Real-time Learning of Driving Gap Preference for Personalized Adaptive Cruise Control. CoRR (2023)
Daniel Mawunyo Doe, Dawei Chen, Kyungtae Han, Yanpeng Dai, Jiang (Linda) Xie, Zhu Han
Real-Time Search-Driven Content Delivery in Vehicular Networks for AR/VR-Enabled Autonomous Vehicles. ICCC (2023)
Zhouqiao Zhao, Xishun Liao, Amr Abdelraouf, Kyungtae Han, Rohit Gupta, Matthew J. Barth, Guoyuan Wu
Real-Time Learning of Driving Gap Preference for Personalized Adaptive Cruise Control. SMC (2023)
Qiang Liu, Yongjie Xue, Yuru Zhang, Dawei Chen, Kyungtae Han
AdaMap: High-Scalable Real-Time Cooperative Perception at the Edge. sec (2023)
Anik Mallik, Haoxin Wang, Jiang (Linda) Xie, Dawei Chen, Kyungtae Han
EPAM: A Predictive Energy Model for Mobile AI. ICC (2023)
Haoxin Wang, Ziran Wang, Dawei Chen, Qiang Liu, Hongyu Ke, Kyungtae Han
Metamobility: Connecting Future Mobility With the Metaverse. IEEE Veh. Technol. Mag. 18 (3) (2023)
Amr Abdelraouf, Rohit Gupta, Kyungtae Han
Interaction-Aware Personalized Vehicle Trajectory Prediction Using Temporal Graph Neural Networks. CoRR (2023)
Yueyang Liu, Xiaolong Tu, Dawei Chen, Kyungtae Han, Onur Altintas, Haoxin Wang, Jiang (Linda) Xie
Visualization of Mobility Digital Twin: Framework Design, Case Study, and Future Challenges. CoRR (2023)
Yongjie Xue, Yuru Zhang, Qiang Liu, Dawei Chen, Kyungtae Han
CoMap: Proactive Provision for Crowdsourcing Map in Automotive Edge Computing. ICC (2023)
Dawei Chen, Haoxin Wang, Kyungtae Han
Adaptive Delivery for High Definition Map Using A Multi-Arm Bandit Approach. WOCC (2023)
Yunsheng Ma, Liangqi Yuan, Amr Abdelraouf, Kyungtae Han, Rohit Gupta, Zihao Li, Ziran Wang
DAR: Multi-View Multi-Scale Driver Action Recognition with Vision Transformer. CoRR (2023)
Yunsheng Ma, Liangqi Yuan, Amr Abdelraouf, Kyungtae Han, Rohit Gupta, Zihao Li, Ziran Wang
DAR: Multi-View Multi-Scale Driver Action Recognition with Vision Transformer. CVPR Workshops (2023)
Haoxin Wang, Ziran Wang, Dawei Chen, Qiang Liu, Hongyu Ke, Kyungtae Han
Metamobility: Connecting Future Mobility with Metaverse. CoRR (2023)
Anik Mallik, Haoxin Wang, Jiang (Linda) Xie, Dawei Chen, Kyungtae Han
EPAM: A Predictive Energy Model for Mobile AI. CoRR (2023)
Xishun Liao, Guoyuan Wu, Matthew J. Barth, Rohit Gupta, Kyungtae Han
Exploring Vehicular Interaction from Trajectories Based on Granger Causality. IV (2023)
Qiang Liu, Yongjie Xue, Yuru Zhang, Dawei Chen, Kyungtae Han
AdaMap: High-Scalable Real-Time Cooperative Perception at the Edge. CoRR (2023)
Xishun Liao, Ziran Wang, Xuanpeng Zhao, Zhouqiao Zhao, Kyungtae Han, Prashant Tiwari, Matthew J. Barth, Guoyuan Wu
Online Prediction of Lane Change with a Hierarchical Learning-Based Approach. ICRA (2022)
Shili Sheng, Erfan Pakdamanian, Kyungtae Han, Ziran Wang, John Lenneman, David Parker, Lu Feng
Planning for Automated Vehicles with Human Trust. ACM Trans. Cyber Phys. Syst. 6 (4) (2022)
Zhouqiao Zhao, Ziran Wang, Kyungtae Han, Rohit Gupta, Prashant Tiwari, Guoyuan Wu, Matthew J. Barth
Personalized Car Following for Autonomous Driving with Inverse Reinforcement Learning. ICRA (2022)
Xishun Liao, Xuanpeng Zhao, Ziran Wang, Kyungtae Han, Prashant Tiwari, Matthew J. Barth, Guoyuan Wu
Game Theory-Based Ramp Merging for Mixed Traffic With Unity-SUMO Co-Simulation. IEEE Trans. Syst. Man Cybern. Syst. 52 (9) (2022)
Yueyang Liu, Haoxin Wang, Zhipeng Cai, Dawei Chen, Kyungtae Han
Poster: Enabling High-Fidelity and Real-Time Mobility Digital Twin with Edge Computing. SEC (2022)
Yanbing Wang, Ziran Wang, Kyungtae Han, Prashant Tiwari, Daniel B. Work
Gaussian Process-Based Personalized Adaptive Cruise Control. IEEE Trans. Intell. Transp. Syst. 23 (11) (2022)
Ziran Wang, Kyungtae Han, Prashant Tiwari
Digital Twin-Assisted Cooperative Driving at Non-Signalized Intersections. IEEE Trans. Intell. Veh. 7 (2) (2022)
Ziran Wang, Rohit Gupta, Kyungtae Han, Haoxin Wang, Akila Ganlath, Nejib Ammar, Prashant Tiwari
Mobility Digital Twin: Concept, Architecture, Case Study, and Future Challenges. IEEE Internet Things J. 9 (18) (2022)
Xishun Liao, Xuanpeng Zhao, Ziran Wang, Zhouqiao Zhao, Kyungtae Han, Rohit Gupta, Matthew J. Barth, Guoyuan Wu
Driver Digital Twin for Online Prediction of Personalized Lane Change Behavior. CoRR (2022)
Yongkang Liu, Ziran Wang, Kyungtae Han, Zhenyu Shou, Prashant Tiwari, John H. L. Hansen
Vision-Cloud Data Fusion for ADAS: A Lane Change Prediction Case Study. IEEE Trans. Intell. Veh. 7 (2) (2022)
Shili Sheng, Erfan Pakdamanian, Kyungtae Han, Ziran Wang, Lu Feng
A Study on Learning and Simulating Personalized Car-Following Driving Style. ITSC (2022)
Shili Sheng, Erfan Pakdamanian, Kyungtae Han, Ziran Wang, Lu Feng
A Study on Learning and Simulating Personalized Car-Following Driving Style. CoRR (2022)
Noveen Sachdeva, Ziran Wang, Kyungtae Han, Rohit Gupta, Julian J. McAuley
GapFormer: Fast Autoregressive Transformers meet RNNs for Personalized Adaptive Cruise Control. ITSC (2022)
Xishun Liao, Ziran Wang, Xuanpeng Zhao, Kyungtae Han, Prashant Tiwari, Matthew J. Barth, Guoyuan Wu
Cooperative Ramp Merging Design and Field Implementation: A Digital Twin Approach Based on Vehicle-to-Cloud Communication. IEEE Trans. Intell. Transp. Syst. 23 (5) (2022)
Xishun Liao, Xuanpeng Zhao, Guoyuan Wu, Matthew J. Barth, Ziran Wang, Kyungtae Han, Prashant Tiwari
A Game Theory Based Ramp Merging Strategy for Connected and Automated Vehicles in the Mixed Traffic: A Unity-SUMO Integrated Platform. CoRR (2021)
Ziran Wang, Kyungtae Han, Prashant Tiwari
Digital Twin-Assisted Cooperative Driving at Non-Signalized Intersections. CoRR (2021)
Yanbing Wang, Ziran Wang, Kyungtae Han, Prashant Tiwari, Daniel B. Work
Personalized Adaptive Cruise Control via Gaussian Process Regression. ITSC (2021)
Shili Sheng, Erfan Pakdamanian, Kyungtae Han, Ziran Wang, John Lenneman, Lu Feng
Trust-based route planning for automated vehicles. ICCPS (2021)
Shili Sheng, Erfan Pakdamanian, Kyungtae Han, Ziran Wang, John Lenneman, Lu Feng
Trust-Based Route Planning for Automated Vehicles. CoRR (2021)
Ziran Wang, Kyungtae Han, Prashant Tiwari
Digital Twin Simulation of Connected and Automated Vehicles with the Unity Game Engine. DTPI (2021)
Yongkang Liu, Ziran Wang, Kyungtae Han, Zhenyu Shou, Prashant Tiwari, John H. L. Hansen
Vision-Cloud Data Fusion for ADAS: A Lane Change Prediction Case Study. CoRR (2021)
Ziran Wang, Kyungtae Han, Prashant Han
Motion Estimation of Connected and Automated Vehicles under Communication Delay and Packet Loss of V2X Communications. CoRR (2021)
Ziran Wang, Kyungtae Han, Prashant Tiwari
Augmented Reality-Based Advanced Driver-Assistance System for Connected Vehicles. SMC (2020)
Zhenyu Shou, Ziran Wang, Kyungtae Han, Yongkang Liu, Prashant Tiwari, Xuan Di
Long-Term Prediction of Lane Change Maneuver Through a Multilayer Perceptron. IV (2020)
Jianyu Su, Peter A. Beling, Rui Guo, Kyungtae Han
Graph Convolution Networks for Probabilistic Modeling of Driving Acceleration. ITSC (2020)
Yongkang Liu, Ziran Wang, Kyungtae Han, Zhenyu Shou, Prashant Tiwari, John H. L. Hansen
Sensor Fusion of Camera and Cloud Digital Twin Information for Intelligent Vehicles. IV (2020)
Ziran Wang, Xishun Liao, Xuanpeng Zhao, Kyungtae Han, Prashant Tiwari, Matthew J. Barth, Guoyuan Wu
A Digital Twin Paradigm: Vehicle-to-Cloud Based Advanced Driver Assistance Systems. VTC Spring (2020)
Zhenyu Shou, Ziran Wang, Kyungtae Han, Yongkang Liu, Prashant Tiwari, Xuan Di
Long-Term Prediction of Lane Change Maneuver Through a Multilayer Perceptron. CoRR (2020)
Yongkang Liu, Ziran Wang, Kyungtae Han, Zhenyu Shou, Prashant Tiwari, John H. L. Hansen
Sensor Fusion of Camera and Cloud Digital Twin Information for Intelligent Vehicles. CoRR (2020)
Ziran Wang, Kyungtae Han, Prashant Tiwari
Augmented Reality-Based Advanced Driver-Assistance System for Connected Vehicles. CoRR (2020)
Ziran Wang, Xishun Liao, Chao Wang, David Oswald, Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth, Kyungtae Han, BaekGyu Kim, Prashant Tiwari
Driver Behavior Modeling Using Game Engine and Real Vehicle: A Learning-Based Approach. IEEE Trans. Intell. Veh. 5 (4) (2020)
Ziran Wang, Kyungtae Han, BaekGyu Kim, Guoyuan Wu, Matthew J. Barth
Lookup Table-Based Consensus Algorithm for Real-Time Longitudinal Motion Control of Connected and Automated Vehicles. CoRR (2019)
Xinyue Kan, Akila Ganlath, Seyhan Ucar, Kyungtae Han, Prashant Tiwari, Konstantinos Karydis
Edge Assisted Misbehavior Detection for Platoons. VNC (2019)
Shili Sheng, Erfan Pakdamanian, Kyungtae Han, BaekGyu Kim, Prashant Tiwari, Inki Kim, Lu Feng
A Case Study of Trust on Autonomous Driving. CoRR (2019)
Hiromitsu Kobayashi, Kyungtae Han, BaekGyu Kim
Vehicle-to-Vehicle Message Sender Identification for Co-Operative Driver Assistance Systems. VTC Spring (2019)
Shili Sheng, Erfan Pakdamanian, Kyungtae Han, BaekGyu Kim, Prashant Tiwari, Inki Kim, Lu Feng
A Case Study of Trust on Autonomous Driving. ITSC (2019)
Ziran Wang, Kyungtae Han, BaekGyu Kim, Guoyuan Wu, Matthew J. Barth
Lookup Table-Based Consensus Algorithm for Real-Time Longitudinal Motion Control of Connected and Automated Vehicles. ACC (2019)
Jianyu Su, Peter A. Beling, Rui Guo, Kyungtae Han
Graph Convolution Networks for Probabilistic Modeling of Driving Acceleration. CoRR (2019)
Ian Jones, Kyungtae Han
Probabilistic Modeling of Vehicle Acceleration and State Propagation With Long Short-Term Memory Neural Networks. IV (2019)
Seogoo Lee, Dongwook Lee, Kyungtae Han, Emily Shriver, Lizy K. John, Andreas Gerstlauer
Statistical quality modeling of approximate hardware. ISQED (2016)
Alexander W. Min, Kyungtae Han, Dongho Hong, Yong-joon Park
Adaptive touch sampling for energy-efficient mobile platforms. SysCon (2015)
Wei Zuo, Warren Kemmerer, Jong Bin Lim, Louis-Noël Pouchet, Andrey Ayupov, Taemin Kim, Kyungtae Han, Deming Chen
A Polyhedral-based SystemC Modeling and Generation Framework for Effective Low-power Design Space Exploration. ICCAD (2015)
Dongwook Lee, Taemin Kim, Kyungtae Han, Yatin Hoskote, Lizy K. John, Andreas Gerstlauer
Learning-Based Power Modeling of System-Level Black-Box IPs. ICCAD (2015)
Kyungtae Han, Alexander W. Min, Nithyananda S. Jeganathan, Paul Diefenbaugh
A hybrid display frame buffer architecture for energy efficient display subsystems. ISLPED (2013)
Kyungtae Han, Zhen Fang, Paul Diefenbaugh, Richard Forand, Ravi R. Iyer, Donald Newell
Using checksum to reduce power consumption of display systems for low-motion content. ICCD (2009)
Kyungtae Han, Brian L. Evans
Optimum Wordlength Search Using Sensitivity Information. EURASIP J. Adv. Signal Process. 2006 (2006)
Kyungtae Han, Brian L. Evans
Wordlength optimization with complexity-and-distortion measure and its application to broadband wireless demodulator design. ICASSP (5) (2004)
Kyungtae Han, Iksu Eo, Kyungsu Kim, Hanjin Cho
Numerical word-length optimization for CDMA demodulator. ISCAS (4) (2001)