Most autonomous vehicles use powerful AI vision transformers to map 3D spaces from 2D images but have room for improvement. MvACon is a plug-and-play supplement that enhances existing vision transformers' mapping abilities without needing additional data from cameras.
MvACon modifies PaCa approach, enabling transformer AIs to better identify objects in images, creating a key advancement in mapping 3D spaces with multiple cameras. Testing showed significant performance improvements with leading vision transformers like BEVFormer and PETR.
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