Keynote
Monday, September 29
08:30 AM - 09:00 AM
Live in Berlin
Less Details
Autonomous vehicles must operate within clearly defined ODDs, but real-world uncertainties like rain, fog, and low visibility challenge the boundaries of these domains. This presentation explores how AV systems detect when they are leaving their intended ODD, how we assess the risk of false negatives, and how we can verify system behavior under uncertain conditions. We’ll examine current limitations and propose practical methods for improving ODD monitoring and validation.
In this session, you will learn more about:
Javier Ibanez-Guzman is Technical Lead Research & Advanced Engineering at the Connected Autonomous Vehicles, Level-4 SAE section of Renault and responsible for the corporate network of specialists (Decision-Making, Machine Perception, World Modelling, Validation). Javier is also a member of the Alliance Venture Capital investments (Renault-Nissan-Mitsubishi) for Autonomous Driving technologies and has additional responsibilities for the industry & academic activities of SivaLab (UTC Compiègne, CNRS): Renault Engineers, Academic Staff, Post-Docs, PhDs candidates.