Pawar, M. (CSE) – Understanding Representations, Reasoning, and Decision-Making in Autonomous Driving Models

Modern autonomous-driving models increasingly rely on learned representations and generated reasoning to interpret complex scenes and produce predictions or actions. However, it remains unclear what information these models encode, how that information is exposed through common interpretation methods, and whether their stated reasoning meaningfully influences their behavior. This research investigates these questions across motion-forecasting and vision-language-action models. Event Host: Manasi Pawar, Ph.D. Student, Computer Science & Engineering Advisor: Leilani Gilpin Zoom: https://ucsc.zoom.us/j/92653015420?pwd=xEyOcy5ZuTcHN04La9w2KP1cmVY1ao.1 Passcode: 309299

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