Inaccurate road surface classification and poor sensor data quality lead to hazardous automated driving decisions. Resolving data uncertainty ensures the safety and functional integrity of driver assistance systems.

Fragmented or obstructed views of the immediate environment prevent safe autonomous navigation. Comprehensive detection reduces collision risks and operational uncertainty.

Unreliable signal interpretation and measurement errors lead to incorrect spatial positioning. Ensuring measurement validity prevents system failures in distance-dependent navigation or mapping.