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cs.LG2026
PedestrianDiffusion: Multimodal Generative Denoising and Dense State Estimation for Inertial Navigation
I-Hao Lu, Dongsoo Han
The accuracy of consumer-grade inertial navigation is bottlenecked by the stochastic noise of Micro-Electro-Mechanical Systems (MEMS). Traditional deterministic neural architecture…
cs.LG2025
ConvXformer: Differentially Private Hybrid ConvNeXt-Transformer for Inertial Navigation
Omer Tariq, Muhammad Bilal, Muneeb Ul Hassan +2
Data-driven inertial sequence learning has revolutionized navigation in GPS-denied environments, offering superior odometric resolution compared to traditional Bayesian methods. Ho…