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Autonomous racing perception isn't just about speed; EagleVision reveals that motion distribution coverage trumps in-domain training for trajectory prediction, while real-world pre-training beats simulation for object detection.
Off-road robots can now navigate without explicit terrain models, thanks to a VLM that reasons about drivability directly from visually prompted segmentations.