AI RESEARCH
Overcoming the Intrinsic Performance Limitations of MEMS IMU via Diffusion-Based Generative Learning
arXiv CS.LG
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ArXi:2605.16391v1 Announce Type: cross Inertial measurement units (IMUs) are fundamental sensing components in multi-source integrated navigation systems, and their performance directly determines the accuracy and reliability of solutions. However, the precision of low-cost IMUs is inherently constrained by hardware limitations. Recently, generative artificial intelligence has nstrated remarkable capability in modeling complex data distributions and reconstructing high-fidelity signals.