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Positioning in GPS-denied Environments

Whereas GPS is a de facto positioning solution for outdoor environments, it does not work well indoors or underground. We adopt two distinct approaches to solving the localisation problem in GPS-denied environments: infrastructure-based and infrastructure-free solutions. Our algorithms range from traditional geometry-based algorithms to deep learning approaches, and are applied to localising people, animals, robots and assets. We are particularly interested in positioning systems that combine multiple sensor modalities, including visual, inertial, radio and magnetic data.


Past Members

Ada Alevizaki
Stefano Rosa
Muhamad Risqi U. Saputra
Johan Wahlstrom
Wei Wang

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