Seminars and Events

Artificial Intelligence Seminar

Interactive Decision Making for Autonomous Vehicles in Congested Traffic

Event Details

Dense urban traffic environments can produce situations where accurate prediction and dynamic models are insufficient for successful autonomous vehicle motion planning. We investigate how an autonomous agent can safely negotiate with other traffic participants, enabling the agent to handle potential deadlocks. Specifically we consider merges where the gaps between cars are smaller than the size of the ego vehicle.
We will discuss game theoretic frameworks we’ve developed that are capable of generating and responding to interactive behaviors. This will include a discussion on several strategies related to modeling human behavior, and discuss some of the challenges that are encountered when you try to move from theory to a physical system.

Host: Mohammad Rostami, POC: Maura Covaci


YOU ONLY NEED TO REGISTER ONCE TO ATTEND THE ENTIRE SERIES – We will send you email announcements with details of the upcoming speakers.

Register in advance for this webinar: https://usc.zoom.us/webinar/register/WN__0VhakI6Q6i3JsasdmNWcA.

After registering, you will receive an email confirmation containing information about joining the Zoom webinar.

The recording for this AI Seminar talk will be posted on our USC/ISI YouTube page within 1-2 business days: https://www.youtube.com/user/USCISI.

Speaker Bio

David Isele received his M.S.E. degree in Robotics and his Ph.D. degree in Computer and Information Science from The University of Pennsylvania.
His research interests include applications of machine learning and artificial intelligence to robotic systems. He is currently a senior scientist at the Honda Research Institute where his work has focused on strategic decision making for autonomous vehicles.