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Kyungtae Han
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2020 – today
- 2024
- [j15]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): 167-179 (2024) - [j14]Yunsheng Ma
, Runjia Du
Driver Digital Twin for Online Recognition of Distracted Driving Behaviors. IEEE Trans. Intell. Veh. 9(2): 3168-3180 (2024) - [j13]Yuru Zhang
Crowdsourcing Live High Definition Map via Collaborative Computation in Automotive Edge Computing. IEEE Trans. Veh. Technol. 73(9): 13569-13583 (2024) - [c48]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. CVPR Workshops 2024: 7115-7124 - [c47]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. CVPR 2024: 15141-15151 - [c46]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. ICC 2024: 1709-1714 - [c45]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: 2841-2847 - [c44]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: 7331-7340 - [i31]Anik Mallik
Unleashing the True Power of Age-of-Information: Service Aggregation in Connected and Autonomous Vehicles. CoRR abs/2403.08931 (2024) - [i30]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 abs/2404.11181 (2024) - [i29]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 abs/2405.03873 (2024) - [i28]Jiahe Cao, Qiang Liu, Dawei Chen, Kyungtae Han:
CAVE: Crowdsourcing Passing-By Vehicles for Reliable In-Vehicle Edge Computing. CoRR abs/2408.00621 (2024) - [i27]Yunsheng Ma, Amr Abdelraouf, Rohit Gupta, Ziran Wang, Kyungtae Han:
Video Token Sparsification for Efficient Multimodal LLMs in Autonomous Driving. CoRR abs/2409.11182 (2024) - 2023
- [j12]Xishun Liao
Driver Digital Twin for Online Prediction of Personalized Lane-Change Behavior. IEEE Internet Things J. 10(15): 13235-13246 (2023) - [j11]Daniel Mawunyo Doe
DSORL: Data Source Optimization With Reinforcement Learning Scheme for Vehicular Named Data Networks. IEEE Trans. Intell. Transp. Syst. 24(10): 11225-11237 (2023) - [j10]Haoxin Wang
Metamobility: Connecting Future Mobility With the Metaverse. IEEE Veh. Technol. Mag. 18(3): 69-79 (2023) - [c43]Yunsheng Ma
M2DAR: Multi-View Multi-Scale Driver Action Recognition with Vision Transformer. CVPR Workshops 2023: 5287-5294 - [c42]Yitao Chen, Dawei Chen, Haoxin Wang, Kyungtae Han, Ming Zhao:
Confidence-Based Federated Distillation for Vision-Based Lane-Centering. ICASSP Workshops 2023: 1-5 - [c41]Anik Mallik
EPAM: A Predictive Energy Model for Mobile AI. ICC 2023: 954-959 - [c40]Yongjie Xue, Yuru Zhang, Qiang Liu, Dawei Chen, Kyungtae Han:
CoMap: Proactive Provision for Crowdsourcing Map in Automotive Edge Computing. ICC 2023: 3252-3257 - [c39]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: 3970-3976 - [c38]Daniel Mawunyo Doe
Real-Time Search-Driven Content Delivery in Vehicular Networks for AR/VR-Enabled Autonomous Vehicles. ICCC 2023: 1-6 - [c37]Qiang Liu
AdaMap: High-Scalable Real-Time Cooperative Perception at the Edge. SEC 2023: 14-26 - [c36]Xiaolong Tu
Unveiling Energy Efficiency in Deep Learning: Measurement, Prediction, and Scoring Across Edge Devices. SEC 2023: 80-93 - [c35]Yitao Chen
Poster: Efficient Video Instance Segmentation with Early Exit at the Edge. SEC 2023: 270-272 - [c34]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: 1-4 - [c33]Amr Abdelraouf, Rohit Gupta, Kyungtae Han:
Interaction-Aware Personalized Vehicle Trajectory Prediction Using Temporal Graph Neural Networks. ITSC 2023: 2070-2077 - [c32]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: 4428-4435 - [c31]Yunsheng Ma
CEMFormer: Learning to Predict Driver Intentions from in-Cabin and External Cameras via Spatial-Temporal Transformers. ITSC 2023: 4960-4966 - [c30]Runjia Du, Kyungtae Han, Rohit Gupta, Sikai Chen
Driver Monitoring-Based Lane-Change Prediction: A Personalized Federated Learning Framework. IV 2023: 1-7 - [c29]Xishun Liao, Guoyuan Wu, Matthew J. Barth, Rohit Gupta, Kyungtae Han:
Exploring Vehicular Interaction from Trajectories Based on Granger Causality. IV 2023: 1-7 - [c28]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: 4675-4682 - [c27]Dawei Chen, Haoxin Wang, Kyungtae Han:
Adaptive Delivery for High Definition Map Using A Multi-Arm Bandit Approach. WOCC 2023: 1-6 - [i26]Haoxin Wang, Ziran Wang, Dawei Chen, Qiang Liu, Hongyu Ke, Kyungtae Han:
Metamobility: Connecting Future Mobility with Metaverse. CoRR abs/2301.06991 (2023) - [i25]Yongjie Xue, Yuru Zhang, Qiang Liu, Dawei Chen, Kyungtae Han:
CoMap: Proactive Provision for Crowdsourcing Map in Automotive Edge Computing. CoRR abs/2302.03204 (2023) - [i24]Anik Mallik
EPAM: A Predictive Energy Model for Mobile AI. CoRR abs/2303.01509 (2023) - [i23]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 abs/2305.07840 (2023) - [i22]Yunsheng Ma, Liangqi Yuan, Amr Abdelraouf, Kyungtae Han, Rohit Gupta, Zihao Li, Ziran Wang:
M2DAR: Multi-View Multi-Scale Driver Action Recognition with Vision Transformer. CoRR abs/2305.08877 (2023) - [i21]Yitao Chen, Dawei Chen, Haoxin Wang, Kyungtae Han, Ming Zhao:
Confidence-based federated distillation for vision-based lane-centering. CoRR abs/2306.03222 (2023) - [i20]Yueyang Liu
Visualization of Mobility Digital Twin: Framework Design, Case Study, and Future Challenges. CoRR abs/2307.09666 (2023) - [i19]Amr Abdelraouf, Rohit Gupta, Kyungtae Han:
Interaction-Aware Personalized Vehicle Trajectory Prediction Using Temporal Graph Neural Networks. CoRR abs/2308.07439 (2023) - [i18]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 abs/2309.05115 (2023) - [i17]Qiang Liu, Yongjie Xue, Yuru Zhang, Dawei Chen, Kyungtae Han:
AdaMap: High-Scalable Real-Time Cooperative Perception at the Edge. CoRR abs/2309.13526 (2023) - [i16]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 abs/2310.16639 (2023) - [i15]Xiaolong Tu, Anik Mallik
Unveiling Energy Efficiency in Deep Learning: Measurement, Prediction, and Scoring across Edge Devices. CoRR abs/2310.18329 (2023) - [i14]Yunsheng Ma
LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs. CoRR abs/2312.04372 (2023) - 2022
- [j9]Ziran Wang
Mobility Digital Twin: Concept, Architecture, Case Study, and Future Challenges. IEEE Internet Things J. 9(18): 17452-17467 (2022) - [j8]Shili Sheng
Planning for Automated Vehicles with Human Trust. ACM Trans. Cyber Phys. Syst. 6(4): 31:1-31:21 (2022) - [j7]Xishun Liao
Cooperative Ramp Merging Design and Field Implementation: A Digital Twin Approach Based on Vehicle-to-Cloud Communication. IEEE Trans. Intell. Transp. Syst. 23(5): 4490-4500 (2022) - [j6]Yanbing Wang
Gaussian Process-Based Personalized Adaptive Cruise Control. IEEE Trans. Intell. Transp. Syst. 23(11): 21178-21189 (2022) - [j5]Ziran Wang
Digital Twin-Assisted Cooperative Driving at Non-Signalized Intersections. IEEE Trans. Intell. Veh. 7(2): 198-209 (2022) - [j4]Yongkang Liu
Vision-Cloud Data Fusion for ADAS: A Lane Change Prediction Case Study. IEEE Trans. Intell. Veh. 7(2): 210-220 (2022) - [j3]Xishun Liao
Game Theory-Based Ramp Merging for Mixed Traffic With Unity-SUMO Co-Simulation. IEEE Trans. Syst. Man Cybern. Syst. 52(9): 5746-5757 (2022) - [c26]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: 948-954 - [c25]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: 2891-2897 - [c24]Yueyang Liu
Poster: Enabling High-Fidelity and Real-Time Mobility Digital Twin with Edge Computing. SEC 2022: 281-283 - [c23]Shili Sheng, Erfan Pakdamanian, Kyungtae Han, Ziran Wang, Lu Feng:
A Study on Learning and Simulating Personalized Car-Following Driving Style. ITSC 2022: 1208-1215 - [c22]Noveen Sachdeva, Ziran Wang, Kyungtae Han, Rohit Gupta, Julian J. McAuley
GapFormer: Fast Autoregressive Transformers meet RNNs for Personalized Adaptive Cruise Control. ITSC 2022: 2528-2535 - [i13]Shili Sheng, Erfan Pakdamanian, Kyungtae Han, Ziran Wang, Lu Feng:
A Study on Learning and Simulating Personalized Car-Following Driving Style. CoRR abs/2208.08002 (2022) - [i12]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 abs/2211.01294 (2022) - 2021
- [c21]Ziran Wang, Kyungtae Han, Prashant Tiwari:
Digital Twin Simulation of Connected and Automated Vehicles with the Unity Game Engine. DTPI 2021: 1-4 - [c20]Shili Sheng, Erfan Pakdamanian, Kyungtae Han, Ziran Wang, John Lenneman, Lu Feng:
Trust-based route planning for automated vehicles. ICCPS 2021: 1-10 - [c19]Yanbing Wang
Personalized Adaptive Cruise Control via Gaussian Process Regression. ITSC 2021: 1496-1502 - [i11]Shili Sheng, Erfan Pakdamanian, Kyungtae Han, Ziran Wang, John Lenneman, Lu Feng:
Trust-Based Route Planning for Automated Vehicles. CoRR abs/2101.03267 (2021) - [i10]Ziran Wang, Kyungtae Han, Prashant Han:
Motion Estimation of Connected and Automated Vehicles under Communication Delay and Packet Loss of V2X Communications. CoRR abs/2101.07756 (2021) - [i9]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 abs/2101.11237 (2021) - [i8]Ziran Wang, Kyungtae Han, Prashant Tiwari:
Digital Twin-Assisted Cooperative Driving at Non-Signalized Intersections. CoRR abs/2105.01357 (2021) - [i7]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 abs/2112.04042 (2021) - 2020
- [j2]Ziran Wang
Driver Behavior Modeling Using Game Engine and Real Vehicle: A Learning-Based Approach. IEEE Trans. Intell. Veh. 5(4): 738-749 (2020) - [c18]Jianyu Su
Graph Convolution Networks for Probabilistic Modeling of Driving Acceleration. ITSC 2020: 1-8 - [c17]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: 182-187 - [c16]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: 246-252 - [c15]Ziran Wang, Kyungtae Han, Prashant Tiwari:
Augmented Reality-Based Advanced Driver-Assistance System for Connected Vehicles. SMC 2020: 752-759 - [c14]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: 1-6 - [i6]Zhenyu Shou, Ziran Wang, Kyungtae Han, Yongkang Liu, Prashant Tiwari, Xuan Di:
Long-Term Prediction of Lane Change Maneuver Through a Multilayer Perceptron. CoRR abs/2006.12769 (2020) - [i5]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 abs/2007.04350 (2020) - [i4]Ziran Wang, Kyungtae Han, Prashant Tiwari:
Augmented Reality-Based Advanced Driver-Assistance System for Connected Vehicles. CoRR abs/2008.13381 (2020)
2010 – 2019
- 2019
- [c13]Ziran Wang, Kyungtae Han, BaekGyu Kim
Lookup Table-Based Consensus Algorithm for Real-Time Longitudinal Motion Control of Connected and Automated Vehicles. ACC 2019: 5298-5303 - [c12]Shili Sheng, Erfan Pakdamanian, Kyungtae Han, BaekGyu Kim
A Case Study of Trust on Autonomous Driving. ITSC 2019: 4368-4373 - [c11]Ian Jones, Kyungtae Han:
Probabilistic Modeling of Vehicle Acceleration and State Propagation With Long Short-Term Memory Neural Networks. IV 2019: 2236-2242 - [c10]Xinyue Kan, Akila Ganlath, Seyhan Ucar, Kyungtae Han, Prashant Tiwari, Konstantinos Karydis:
Edge Assisted Misbehavior Detection for Platoons. VNC 2019: 1-4 - [c9]Hiromitsu Kobayashi, Kyungtae Han, BaekGyu Kim
Vehicle-to-Vehicle Message Sender Identification for Co-Operative Driver Assistance Systems. VTC Spring 2019: 1-5 - [i3]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 abs/1902.07747 (2019) - [i2]Shili Sheng, Erfan Pakdamanian, Kyungtae Han, BaekGyu Kim, Prashant Tiwari, Inki Kim, Lu Feng:
A Case Study of Trust on Autonomous Driving. CoRR abs/1904.11007 (2019) - [i1]Jianyu Su, Peter A. Beling, Rui Guo, Kyungtae Han:
Graph Convolution Networks for Probabilistic Modeling of Driving Acceleration. CoRR abs/1911.09837 (2019) - 2016
- [c8]Seogoo Lee, Dongwook Lee, Kyungtae Han, Emily Shriver, Lizy K. John, Andreas Gerstlauer:
Statistical quality modeling of approximate hardware. ISQED 2016: 163-168 - 2015
- [c7]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: 357-364 - [c6]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: 847-853 - [c5]Alexander W. Min, Kyungtae Han, Dongho Hong, Yong-joon Park:
Adaptive touch sampling for energy-efficient mobile platforms. SysCon 2015: 754-757 - 2013
- [c4]Kyungtae Han, Alexander W. Min, Nithyananda S. Jeganathan, Paul Diefenbaugh:
A hybrid display frame buffer architecture for energy efficient display subsystems. ISLPED 2013: 347-353
2000 – 2009
- 2009
- [c3]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: 47-53 - 2006
- [j1]Kyungtae Han, Brian L. Evans:
Optimum Wordlength Search Using Sensitivity Information. EURASIP J. Adv. Signal Process. 2006 (2006) - 2004
- [c2]Kyungtae Han, Brian L. Evans:
Wordlength optimization with complexity-and-distortion measure and its application to broadband wireless demodulator design. ICASSP (5) 2004: 37-40 - 2001
- [c1]Kyungtae Han, Iksu Eo, Kyungsu Kim, Hanjin Cho:
Numerical word-length optimization for CDMA demodulator. ISCAS (4) 2001: 290-293
Coauthor Index
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last updated on 2024-10-23 21:23 CEST by the dblp team
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