Advanced Driver Assistance Systems (ADAS) and autonomous vehicles rely heavily on AI-driven perception, probabilistic decision-making, and large-scale data pipelines. Traditional deterministic validation models are insufficient for statistically proving safety in complex, real-world environments. This talk examines the technical challenges in simulation, real-world testing, long-tail edge cases, regulatory compliance, and AI validation. It also explores the emerging role of generative and agentic AI in transforming automotive safety testing methodologies.
(https://drive.google.com/file/d/1Il3nRL5_AEGbOdy540Mm-SAfpgxgtJXC/view?usp=sharing)
Speaker(s): Gaurav Baban Pokharkar,
Agenda:
11:30am – Pizza and water bottles will be served
11:30am – Brief Introduction to the IEEE Southeastern Michigan Section and IEEE Robotics & Automation Society
11:35am – Introduction to the speaker, Gaurav Baban Pokharkar
11:37am – Presentation by Gaurav Baban Pokharkar
12:10pm – Q & A
12:20pm – Self-introduction of all the in-person as well as Zoom participants
12:40pm – Introduction of Future R&A events and optional LTU CS AI Robotics Lab visit
Room: J351 (STEM Center 3rd Floor), Bldg: Bld. No. 8, 21000 West 10 Mile Rd, Southfield, Michigan, United States, 48075, Virtual: https://events.vtools.ieee.org/m/542819