In an increasingly connected and complex world, we need to optimise our use of rich and diverse data sets to inform decision makers in a timely manner. As the types and volumes of information available to the commander increase, this will place a greater importance on tools and techniques to collate, synthesise and visualise information in a timely and understandable way so that it can be readily acted upon. Different sources will have different degrees of assurance but combining multiple information sources greatly increases the robustness of the analysis – although we need to be able to show levels of certainty/uncertainty within the analysis.
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Persistent real-time, multi-sensor, multi-modal surveillance capabilities will be at the core of the future operating environment for the Ministry of Defence; such techniques will also be a core technology in modern soci...
Funded by: EPSRC
Lead research organisation: University of Edinburgh
The project focuses on signal processing techniques for multi-sensor data, which is directly related to the question of how sensors will be networked and managed.
The nature of the modern battlefield is changing dramatically. Electronic communication is allowing unprecedented interchange of data and information between platforms. Advances in electronics are allowing the possibilit...
Funded by: EPSRC
Lead research organisation: Newcastle University
The project aims to develop signal processing solutions for the networked battlespace, which aligns with the question's focus on how sensors will be networked and managed.
Sensors have for a long time played a vital role in battle awareness for all our armed forces, ranging from advanced imaging technologies, such as radar and sonar to acoustic and the electronic surveillance. Sensors are ...
Funded by: EPSRC
Lead research organisation: University of Edinburgh
The project studies the processing of multi-sensor systems, which is partially relevant to the question of how sensors will be networked and managed.