What SAIL aims

Smart Autonomous and Infrastructure Lab (SAIL) addresses major challenges in the domains of autonomous driving, Intelligent Transportation Systems (ITS), Urban Air Mobility (UAM), and pedestrian safety, all within the broader landscape of smart mobility and transportation. Our lab actively adopts cutting-edge technologies such as deep learning, generative AI, and multimodal learning to conduct research in fields including perception and control for autonomous vehicles, traffic flow optimization, pedestrian safety improvement, and UAM-based transportation solutions.

In particular, we analyze diverse traffic and urban environment data to tackle real-world problems, such as preventing traffic accidents, predicting vehicle trajectories, and alleviating congestion. We also aim to build efficient and sustainable mobility systems in urban areas through advanced AI and data analytics.

We welcome dedicated and skilled individuals, including undergraduate researchers, Master’s and doctoral students, as well as postdoctoral researchers, to become part of our team. If you are interested in contributing to our research and further developing your expertise, please contact Professor Noh at senseable.ai@gmail.com.

학부연구생 및 석사/박사과정 진학을 희망하는 학생들의 많은 관심 바랍니다. (E-mail: senseable.ai@gmail.com)