arXiv (All)
open access
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 in
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Safety through Human Tracking in an Industrial Setting#398945
- Risk Assessment of Autonomous Driving: Integrating Technical Failures, Ethical Dilemmas, and Policy Frameworks#259510
- Hardware-Enforced Semantic Coordination for Safety-Critical Real-Time Autonomous Systems#332567
- Safety Context Injection: Inference-Time Safety Alignment via Static Filtering and Agentic Analysis#178808
- What if passengers experienced cyberattacks in a level 5 automated and connected shuttle? Impact of cyberattack type and contextual factors on perceived safety: A scenario-based study#395391
Record · ID 1035651
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive