SOTIF-Based Scenario Hazard Analysis, Parameterization and Population Specification
Join experts from MSC for a 'deep dive' session involving a probabilistic approach for scenario-based analysis that represents the operational design domain (ODD) with populations of scenarios and enables quantitative comparison of autonomous and human drivers.
In small groups, you will review NHTSA scenarios related to common autonomous vehicle pre-crash scenarios, related exposure and coverage data; analyze dynamic driving tasks (DDT), scene and situation specification; and analyze possible hazardous events and related object event decision response (OEDR).
This enables the definition of scenario parameters for assembling detailed logical scenarios and anticipated boundary values, and clarifies how to derive the critical states to validate and build trust.
Participants will gain some understanding into the challenges associated with consistent scenario-based validation and approaches to manage such complexities.
This session is open to conference delegates only and there are limited seats available – request your space when registering. You will be informed if you have secured a place on the course as soon as possible.
* Please find the tick box to register your interest on the delegate booking form above the 'More information' section