Papers/2611.08631
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BEVCast: Path-Adaptive BEV for Efficient End-to-End Autonomous Driving

Author1, Author2, Author3, Author4, Author5

autonomous drivingcomputer visionpath planning
2611.08631
Builder Relevance
80%
16h ago

Abstract

BEVCast introduces a two-stage bird's-eye-view (BEV) system that adapts resolution based on the predicted driving path, improving efficiency in autonomous driving.

Reality Card

Core Claim

BEVCast achieves a 66% reduction in BEV encoder time while maintaining comparable accuracy to full-resolution grids.

Method / Result

At a 10% refinement budget, BEVCast encodes 28% of the BEV queries.

Limitations

The method's performance may vary based on the specific driving scenarios and datasets used for training and evaluation.

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