Scenario-Independent Criticality Assessment and Prediction for Vulnerable Road Users in Autonomous Driving
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 non-critical objects, which is addressed through criticality or relevance estimation. Existing criticality metrics are typically designed for specific scenarios and primarily focus on vehicle-to-vehicle interactions. In this paper, we therefore propose a novel criticality metric tailored to vulnerable road users (VRUs), which require special consideration due to their less predictable motion behavior. Furthermore...
| Authors | Jörg Gamerdinger, Victor Schwarzenberger, Philipp Schmid et al. |
|---|---|
| Primary category | cs.RO |
| Published | 24 July 2026 |
| Last updated at source | 24 July 2026 |
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