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Event cameras, fused with traditional frames using an energy-aware approach, can significantly boost the accuracy of autonomous vehicle steering prediction.
A single model can now achieve state-of-the-art semantic segmentation across diverse sensor modalities like thermal, depth, and polarization, eliminating the need for modality-specific architectures.