Researchers in Human-FACTS lab have developed a large language model-based multimodal warning (LLM-MW) and it has been selected as one of the KAIST Breakthroughs in 2025.

The system that personalizes driver assistance adapts to diverse drivers and traffic conditions, offering tailored warnings through auditory, visual and haptic channels to enhance safety and comfort.

This research will be published under the title “An LLM-based Multimodal Warning System for Driver Assistance” at the 27th IEEE International Conference on Intelligent Transportation Systems (ITSC 2024).

Congratulations on this remarkable achievement, and best wishes for continued success in your research endeavors!