多模态信息融合

Thinking Fast, Thinking Slow: Adaptive Multimodal Transformer-based Sensor Fusion for Depth Estimation on Ultra-low-power MCUs

快速思考，慢速思考：基于自适应多模态Transformer的超低功耗MCU深度估计传感器融合

Luca Crupi, Lorenzo Lamberti, Giovanni Badaracco, Daniele Allegri, Alessandro Giusti, Daniele Palossi

专题命中 机器人多传感器融合 ：sensor fusion(title,abstract)；分类 eess.IV

AI总结 研究针对超低功耗MCU深度估计问题，提出结合多模态传感器融合与轻量级基于循环Transformer架构的自适应方法，通过令牌传播和增量传感器利用机制平衡能耗与精度，实验证明该方法节能且精度提升显著。

Comments 16 pages, 9 figures, 6 tables. This paper has been accepted for publication in the IEEE Sensors Journal Copyright 2026 IEEE

MVGD-Net: A Novel Motion-aware Video Glass Surface Detection Method

MVGD-Net: 一种新颖的运动感知视频玻璃表面检测网络

Yiwei Lu, Hao Huang, Tao Yan

机构 * Tao Yan（谭燕） 纠错

专题命中 机器人多传感器融合 ：multimodal fusion(abstract)；分类 cs.CV

AI总结 MVGD-Net通过利用视频中运动不一致特性，提出新颖网络检测玻璃表面，结合多模块融合与大规模数据集提升检测性能。

Comments This paper has been accepted by the 40th AAAI Conference on Artificial Intelligence (AAAI-26). It contians 9 pages, 11 figures