arXiv (All)
open access
FocusDrive: Reasoning with Visual Focus for Autonomous Driving
Driving decisions depend on both where to focus and how to act on what is seen. Effective driving reasoning must establish which objects matter, where they are, and how they inform the intended action. Text-based rationales can describe a driving response while leaving its correspondence to specific
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
- Dissonance in focus#336350
- Seeing it all clearly: The real story on blurry vision#766346
- Designing and Evaluating In-Vehicle Temporal Decoupling Pointing System for Selecting External Object#174003
- Designing and Evaluating In-Vehicle Temporal Decoupling Pointing System for Selecting External Object#173425
- Designing and Evaluating In-Vehicle Temporal Decoupling Pointing System for Selecting External Object#173175
Record · ID 1117902
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