About Daniel John Chadwick
Background, technical skills, and research identity across academic and applied engineering work.
About Daniel John Chadwick →Research-led engineering for resilient navigation, sensing, and automation.
I’m Daniel John Chadwick, also publishing as Daniel J. Chadwick, a PhD researcher at the University of Liverpool working on inertial navigation, sensor fusion, GNSS-denied positioning, particle filters, MEMS IMU calibration, gravity gradients, quantum-aided navigation, and embedded navigation systems.
A personal site collecting public PhD research, engineering projects, practical automation work, and photography albums.
Daniel Chadwick publishes this work under Daniel John Chadwick and Daniel J. Chadwick. The site exists to bring together University of Liverpool research, public papers, navigation software, practical engineering projects, and tutorials covering inertial navigation, sensor fusion, GNSS-denied navigation, particle filters, MEMS IMU calibration, and gravity gradients.
Background, technical skills, and research identity across academic and applied engineering work.
About Daniel John Chadwick →Current work on inertial navigation, sensor fusion, embedded estimation, and resilient positioning.
Research by Daniel John Chadwick →Published research outputs on gravity gradients, quantum-aided navigation, and efficient positioning.
Papers by Daniel J. Chadwick →Public-safe project summaries spanning software, calibration, and practical engineering systems.
Navigation and sensor fusion projects →Ordered tutorials explaining GNSS, inertial navigation, and full fusion for technical readers.
Inertial navigation tutorials →Fusing inertial telemetry with alternative positioning constraints for GPS-denied navigation.
Explore research →Writing real-time C++ daemons, FastAPI pipelines, and automated sensor calibration suites.
View technical skills →Developing open-source packages, sensor calibration boards, and server deployments.
View portfolio →Capturing visual albums of wildlife, landscapes, and travel journeys.
View galleries →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.
Developed an online calibration filter fusing celestial polarisation cues with magnetic field updates to resolve yaw-calibration ambiguities.
Built a deep learning model to estimate vertical gravity gradients from anomaly data, overcoming computational bottlenecks in quantum-aided map-matching navigation.
Designed and developed a Progressive Web Application featuring real-time tide telemetry, safe crossing windows, and interactive inundation mapping to aid safe crossings to Hilbre Island.
A paper presenting a deep learning surrogate model to predict vertical gravity gradients from anomaly samples, speeding up map-matching algorithms inside particle filters.
* Only public or published work is listed here. In-progress PhD chapters and confidential employer projects are omitted.
Photographs of Atom, a contemporary Panopticon shelter and viewing point designed by Peter Meacock above Wycoller Country Park, Lancashire.
Landscape and coastal photos from a road trip along the North Coast 500 in Scotland.
Street and architectural photography from Wrocław, Poland.
Interested in research, engineering builds, or photography? Reach out by email or connect with me online.