Abstract
Magnetic field-based positioning is a resilient positioning technology that requires no external infrastructure and is hard to jam at scale. To facilitate research on magnetic field-based positioning for aerial platforms operating close to the Earth's surface, an open dataset is presented with measurements collected using an unmanned aerial vehicle carrying two optically pumped magnetometers, a type of quantum magnetometer, and a global navigation satellite system-aided inertial navigation system. The dataset includes measurements for both magnetic-field map learning and validation. Along with the dataset, a probabilistic framework for magnetic-field map learning and validation is presented and used to illustrate how the dataset may be used. Finally, we outline research directions that may be explored using the dataset.
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Publication details
- Journal
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- Open access
- Green open access
Cite this article
APA 7
Skog, I., Galrinho, M. R., & Gelin, M. (2026). FlightMagNav: An Open Dataset and Probabilistic Map Learning and Validation Framework for Outdoor Magnetic Field-Based Positioning. https://omanscience.com/en/articles/flightmagnav-an-open-dataset-and-probabilistic-map-learning-and-validation-framework-for-outdoor-magnetic-field-based-positioning
MLA 9
Skog, Isaac, et al. "FlightMagNav: An Open Dataset and Probabilistic Map Learning and Validation Framework for Outdoor Magnetic Field-Based Positioning." https://omanscience.com/en/articles/flightmagnav-an-open-dataset-and-probabilistic-map-learning-and-validation-framework-for-outdoor-magnetic-field-based-positioning.
Chicago (author–date)
Skog, Isaac, Miguel Ramos Galrinho, and Martin Gelin. 2026. "FlightMagNav: An Open Dataset and Probabilistic Map Learning and Validation Framework for Outdoor Magnetic Field-Based Positioning." https://omanscience.com/en/articles/flightmagnav-an-open-dataset-and-probabilistic-map-learning-and-validation-framework-for-outdoor-magnetic-field-based-positioning.
Harvard
Skog, I., Galrinho, M. R. and Gelin, M. (2026) 'FlightMagNav: An Open Dataset and Probabilistic Map Learning and Validation Framework for Outdoor Magnetic Field-Based Positioning', Available at: https://omanscience.com/en/articles/flightmagnav-an-open-dataset-and-probabilistic-map-learning-and-validation-framework-for-outdoor-magnetic-field-based-positioning.
Vancouver
Skog I, Galrinho MR, Gelin M. FlightMagNav: An Open Dataset and Probabilistic Map Learning and Validation Framework for Outdoor Magnetic Field-Based Positioning. https://omanscience.com/en/articles/flightmagnav-an-open-dataset-and-probabilistic-map-learning-and-validation-framework-for-outdoor-magnetic-field-based-positioning
IEEE
I. Skog, M. R. Galrinho, and M. Gelin, "FlightMagNav: An Open Dataset and Probabilistic Map Learning and Validation Framework for Outdoor Magnetic Field-Based Positioning," https://omanscience.com/en/articles/flightmagnav-an-open-dataset-and-probabilistic-map-learning-and-validation-framework-for-outdoor-magnetic-field-based-positioning.