2026-09-23T16:01:56.171Z
- title:
Safety-Critical Scenanrio Emerges from Initial Scene→ Safety-Critical Scenarios Emerge from Initial Scenes
SOURCE-LINKED INTELLIGENCE
Safety-Critical Scenarios Emerge from Initial Scenes
Safety-critical driving scenario generation has largely focused on manipulating the behavior of surrounding agents while starting from an initial scene from driving data. This assumption can limit the space of discoverable failures, since driving data can provide little opportunity for meaningful interaction. For example, in the Waymo Open Motion Dataset, 20.44% of recorded slices feature a stationary ego vehicle that never moves, and 30.39% of initial frames contain no nearby traffic participants within 10 meters. We instead study safety-critical scenario generation as an initialization probl
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-17T12:05:03.000Z
First collected: 2026-09-19T20:28:14.107Z. This is not the publication date.
Observed changes
AIIC observation times, not verified publisher revision times. Up to eight recent revisions.