Polarised-Light-Aided Magnetometer Calibration
Developed an online calibration filter fusing celestial polarisation cues with magnetic field updates to resolve yaw-calibration ambiguities.
Projects
A collection of engineering projects, hardware-in-the-loop builds, and software tools. Work done under part-time employment or corporate environments is described using generic, public-safe terms to preserve confidentiality, while personal builds are fully open-source and linked to GitHub.
Quantum-Aided Gravity Gradient Estimation
Built a deep learning model to estimate vertical gravity gradients from anomaly data, overcoming computational bottlenecks in quantum-aided map-matching navigation.
Deep Learning-Based Vehicular IMU Calibration
Developed a deep learning framework to detect vehicle stationary states, utilizing zero-velocity updates (ZUPT) and gradient descent optimization to calibrate accelerometer bias, scale, and cross-talk.