Bayer

Last updated January 31, 2026

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Automated driving system availability logic: BayerRecent Research Landscape

Unpredictable real-world edge cases create safety risks and high testing costs for autonomous vehicles. These innovations mitigate these risks through high-fidelity virtual validation and automated scenario generation.

What technical problems is Bayer addressing in Automated driving system availability logic?

Unpredictable lateral trajectory conflicts

(103)evidences

Standard driving logic fails to maintain precision and safety when navigating highly confined environments like car washes or narrow passages. Addressing this limitation prevents vehicle damage and reduces driver cognitive load in high-risk spatial constraints.

Unsafe automated mode transitions

(41)evidences

Inconsistent determination of safe operating states during dynamic maneuvers or emergency scenarios. Ensuring system uptime under varying environmental and operational constraints prevents premature disengagement.