arXiv (All)
open access
ManeuverFlow: Maneuver Hypothesis Generation with Future Evidence for Trajectory Evaluation and Refinement in End-to-End Autonomous Driving
End-to-end planning in complex scenes must model diverse driving intentions and select the most appropriate trajectory using scene context and future risks. However, multi-query regression may collapse to one mode, while anchor-based and generative planners share a scaling bottleneck: small candidat
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
- PlanWAM: Planning-Shaped Future Representations for End-to-End Autonomous Driving#1248662
- SkipWorld: Latent Skip Planning with Distilled World Models for Efficient Visual Navigation#1343324
- Drive-HWM: Hierarchical World Models for Dynamic-Latent Guided Autonomous Driving#926481
- ForeDrive: Foresight-Guided End-to-End Autonomous Driving with a Planning-Relevant Latent World Model#1063004
- OccWAM: Occupancy World-Action Models with Joint Scene-to-Ego Flow Matching#1342898
Record · ID 1297761
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