Robotics

    Scenario-Independent Criticality Assessment and Prediction for Vulnerable Road Users in Autonomous Driving

    Advancing autonomous safety through context-aware risk prediction for vulnerable road users.

    Increasing safety is the primary objective of automated vehicles. Achieving this goal requires reliable safety metrics that incorporate safety-relevant factors such as object type, velocity, and criticality. A key capability of such metrics is the distinction between critical and...

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    ArXiv CS.RO

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    ArXiv CS.RO
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    Developing scenario-independent criticality assessments allows autonomous vehicles to better anticipate the unpredictable behavior of pedestrians and cyclists in diverse urban environments. By moving away from static rules, this approach significantly enhances the adaptability and safety performance of AI-driven navigation systems.

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