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 (WiFi/BTLE), and magnetic data.
A Drift−Tolerant Model for Data Management in Ocean Sensor Networks
Rapid Exploration of Unknown Areas Through Dynamic Deployment of Mobile and Stationary Sensor Nodes
Ettore Ferranti‚ Niki Trigoni and Mark Levene
In Journal of Autonomous Agents and Multi−Agent Systems. 2009.
Evolution and Sustainability of a Wildlife Monitoring Sensor Network
V. Dyo‚ S. Ellwood‚ D. Macdonald‚ A. Markham‚ C. Mascolo‚ B. Pasztor‚ S. Scellato‚ N. Trigoni‚ R. Wohlers and K. Yousef
In 8th ACM Conference on Embedded Networked Sensor Systems (SenSys 2010)‚ Zurich‚ Switzerland. 2010.