AI Research
BEVCast: Path-Adaptive BEV for Efficient End-to-End Autonomous Driving
A path-adaptive approach targets BEV computation to cells relevant to the planning horizon.
Camera-based driving models build a dense bird's-eye-view (BEV) grid and spend the same computation on every cell of it, although the vehicle crosses only a few of those cells within the planning horizon.
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ArXiv CS.CV
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2 min
ArXiv CS.CV
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Generated insight by OnAirToday AI
Processing every BEV cell equally can spend computation on areas the vehicle will not traverse during the planning horizon. BEVCast’s path-adaptive focus addresses this potential inefficiency in camera-based autonomous driving models.
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