Real driving data is expanded with non-tracked objects and non-tracking factors to test recognition, control, and decision functions.
A stacked 3D memory isolation architecture separates safety and convenience functions to prevent data contamination and support failure recovery.
A distance metric between critical driving test cases stops scenario-based ADAS testing when iterations converge, cutting simulation time and cost.
Factorizing an impact function into graph-based contributions enables faster operating state assessment without explicit evaluation of complex variable interactions.