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GAAT: Geometry-Aware Alignment Transformer for Multimodal UAV Perception

arXiv · AI, language, vision and robotics · article · Aug 28, 2026 · UTC

Unmanned aerial vehicle (UAV) multimodal perception integrates visible (RGB), infrared (IR), synthetic aperture radar (SAR), and depth sensors for scene understanding under diverse conditions. However, differences in optics, resolution, and mounting often limit practical systems to global or image-center alignment. After tokenization, parallax, platform motion, and lens distortion can shift corresponding patch centers across modalities, weakening the spatial correspondence assumed by dense contrastive learning and cross-modal fusion. We propose GAAT (Geometry-Aware Alignment Transformer), an a

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Evidence & attribution

First collected: 2026-09-21T08:21:55.975Z. This is not the publication date.