Jyh Jing Hwang

This talk explores the evolution of autonomous driving systems, highlighting the transition from early, less capable models to sophisticated L4 systems like Waymo's. It introduces EMMA, an experimental system leveraging multimodal large language models (LLMs) like Gemini to enhance driving capabilities, particularly in handling rare and complex scenarios. The core thesis is that LLMs can significantly improve the generalizability and safety of autonomous driving by understanding and reacting to diverse real-world situations.