Kyungtae (KT) Han
Senior Principal Researcher
Toyota Motor North America
Generative & Agentic AI · V2X / CAV · Edge AI · Digital Twin
I am a Senior Principal Researcher at Toyota Motor North America's InfoTech Labs, focusing on generative and agentic AI for connected and autonomous vehicles. My work spans multimodal driving intelligence, V2X-enabled cooperative autonomy, and AI-native mobility systems, with 90+ peer-reviewed publications and 100+ U.S. patents. I am the author of the IEEE-Wiley book Generative AI for Connected and Autonomous Vehicles (2026).
Research
Research Agenda
My research builds AI systems for safety-critical mobility, combining rigorous learning methods with real-world deployability.
Generative & Agentic AI for Driving Intelligence
Multimodal models and agent-based systems for scene understanding, conversational ADAS, and driving decision support.
Explore →Connected & Cooperative Autonomous Systems (V2X/CAV)
Communication-aware perception and planning for robust coordination across vehicles, infrastructure, and traffic networks.
Explore →Edge AI for Safety-Critical Mobility
Real-time inference, intelligent task distribution, and efficient deployment for latency- and reliability-constrained mobility systems.
Explore →Digital Twins for Connected & Personalized Mobility
Mobility and driver digital twin architectures for cooperative perception, behavior modeling, and human-centered driver assistance.
Explore →Also see: Intelligent Transportation · Energy-Efficient Computing
Publications
Selected Publications
Representative work across generative AI, autonomous driving, and edge intelligence.
LLM4AD: Large Language Models for Autonomous Driving
C. Cui, Y. Ma, S. Park, … K. Han, and Z. Wang.
View paper →Scene-Aware Conversational ADAS with Generative AI for Real-Time Driver Assistance
K. Han, Y. Chen, R. Gupta, and O. Altintas.
View paper →NuPlanQA: A Large-Scale Dataset and Benchmark for Multi-View Driving Scene Understanding
S. Park, C. Cui, Y. Ma, … K. Han, and Z. Wang.
View paper →Mobility Digital Twin: Concept, Architecture, Case Study, and Future Challenges
Z. Wang, R. Gupta, K. Han, H. Wang, A. Ganlath, N. Ammar, and P. Tiwari.
View paper →Driver Digital Twin for Online Recognition of Distracted Driving Behaviors
Y. Ma, R. Du, A. Abdelraouf, K. Han, R. Gupta, and Z. Wang.
View paper →Teaching
Teaching & Curriculum Development
Graduate-level course design and instructional development in AI for mobility systems.
Generative AI for Connected and Autonomous Vehicles
An internal research training course at Toyota Motor North America's InfoTech Labs, moving from language-centric intelligence to full-stack generative autonomy for CAV systems. Curriculum directly informs the IEEE-Wiley textbook, Generative AI for Connected and Autonomous Vehicles (2026).
Part I · Spring 2025
15 weeks · rated 4.45/5
Focus: Large language models, retrieval-augmented generation, function calling, and agentic orchestration for CAV applications, with hands-on labs on prompt engineering, RAG, fine-tuning (LoRA, RLHF, GRPO), agent frameworks, vision-language models, and MCP / A2A protocols.
Part II · Spring 2026
11 sessions · completed August 2026
Focus: Generative model families beyond text, multimodal temporal reasoning, and safety-critical deployment — diffusion and flow matching, GANs and VAEs, VideoLLMs, knowledge distillation for edge inference, closed-loop simulation, evaluation of generative systems, and AI trust, alignment, and ethics.
News
Recent News
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August 2026
Completed Part II of the internal course Generative AI for Connected and Autonomous Vehicles at Toyota InfoTech Labs, covering diffusion, VideoLLMs, edge distillation, simulation, and AI trust.
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May 2026
Paper accepted at IEEE ITSC 2026: “Tonic Meta-Control for Adaptive Safety-Compute Allocation via Persistent Vigilance Dynamics.”
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Apr 2026
Paper published in Proceedings of the IEEE: “LLM4AD: Large Language Models for Autonomous Driving.”
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2026
Companion site for the IEEE-Wiley book Generative AI for Connected and Autonomous Vehicles is now available, with hands-on labs and instructor resources. Book webpage →
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2025
Papers accepted at IEEE ITSC and ICCV with multi-institution academic collaborators.
Contact
Get in Touch
Reach out for research collaborations, joint workshops, or questions about my work.
- kt.han@toyota.com
- Location
- Mountain View, California
- Affiliation
- Toyota Motor North America