FMF-SLAM extends DROID-SLAM with Fourier-domain attention and cross-modal knowledge distillation for RGB-depth fusion, reporting fewer tracking failures and lower average trajectory error on dark, dim, and fast-moving test sequences.
Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age,
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Multimodal Fusion SLAM with Fourier Attention
FMF-SLAM extends DROID-SLAM with Fourier-domain attention and cross-modal knowledge distillation for RGB-depth fusion, reporting fewer tracking failures and lower average trajectory error on dark, dim, and fast-moving test sequences.