arXiv (All)
open access
On the Assessment of Sensitivity of Autonomous Vehicle Perception
The viability of automated driving is heavily dependent on the performance of perception systems to provide real-time accurate and reliable information for robust decision-making and maneuvers. These systems must perform reliably not only under ideal conditions, but also when challenged by natural a
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
- CARA: Concept-Aware Risk Attention for Interpretable Collision Anticipation#785202
- CARA: Concept-Aware Risk Attention for Interpretable Collision Anticipation#783611
- Active inference as a model of collision avoidance behavior in human drivers#273300
- AI-based framework for scene understanding and situation awareness for autonomous vehicles#1120356
- Personalized Autonomous Driving via Optimal Control with Clearance Constraints from Questionnaires#635745
Record · ID 999728
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