Vehicle movement creates environmental noise and motion artifacts that compromise image clarity. Addressing these instabilities ensures reliable downstream processing for safety-critical recognition systems.

Discrepancies between real-world vehicle surroundings and virtual representations lead to unreliable testing. Resolving this ensures safety-critical validation of autonomous systems without physical risk.