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McKelvey School of Engineering

Brown School

ESE Seminar: Chih-Yuan 'Frank' Chiu

Monday, January 29 | 1:00 PM - 2:00 PM

Preston M. Green Hall, Rodin Auditorium, L0120
135 N Skinker Blvd, St. Louis, MO 63112, USA

Towards Reliable Navigation in Modern Transportation Systems

Abstract: Navigation in modern transportation systems involves interacting with large numbers of vehicles, both human-operated and self-driving, which raises serious issues of safety and efficiency. First, autonomous vehicles remain unable to consistently operate safely in real-life traffic. Key reasons include the difficulty of performing fast and accurate state estimation and mapping, as well as the absence of feedback loops between behavior prediction and motion planning in many autonomy stacks. Second, high traffic loads induce societal-scale externalities, such as excessive commute times and pollution. Unfortunately, conventional mechanisms for congestion management are often computationally intractable and ignore changes in travelers’ route selections over time.

In this talk, I will present progress towards addressing these issues, focusing in particular on: (I) A unified optimization-based state estimation and mapping framework for robotics tasks; (II) Game-theoretic motion planners that capture feedback loops between behavior prediction and path planning in common traffic scenarios; and (III) A dynamic tolling scheme to manage congestion on traffic networks of arbitrary structure and scale. I will conclude by describing promising avenues of future work.

Event Type

Seminar/Colloquia

Schools

McKelvey School of Engineering

Topic

Science & Technology

Department
Electrical & Systems Engineering
Hashtag

#Seminar

Event Contact

Aaron Beagle | abeagle@wustl.edu

Speaker Information

Chih-Yuan 'Frank' Chiu

Bio: Chih-Yuan (Frank) Chiu received his Ph.D. in Electrical Engineering and Computer Sciences from the University of California, Berkeley in 2023, where he worked on state estimation and path planning for autonomous vehicles, as well as traffic management on transportation networks. Chih-Yuan’s research was supported by a Departmental Fellowship, as well as grants from the National Science Foundation (NSF), the Defense Advanced Research Projects Agency (DARPA), and the Office of Naval Research (ONR). Chih-Yuan received his BS in Electrical Engineering from National Taiwan University in 2018, where he was supported, in part, by the Ministry of Science and Technology (MoST) Scholarship Program.

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