Accurate and reliable vehicle positioning during extended Global Navigation Satellite System/Inertial Navigation System outages remains challenging due to noise, outliers, and biases in input data. This study evaluates the robustness of machine learning (ML) models under two specific conditions: (1) noise and outliers present in training target data, and (2) errors and biases within input data. Two ML methods–Long Short-Term M...