3 papers
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…
quant-ph2025
QSCL-EWIL: Quantum Stochastic Contrast Learning for Enhanced WiFi-Based Indoor Localization
Muhammad Bilal Akram Dastagir, Omer Tariq, Dongsoo Han +3
WiFi-based indoor localization is essential for asset tracking, healthcare monitoring, and smart buildings. However, existing systems face challenges such as data variability, envi…
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…