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Bildungsatlas Optische Technologien
Partner of
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Focal point Multi Sensors, Visualization and Signal Processing
Development Trends / Benchmarking
From the analysis of the development trends and the regional areas of competence the following medium-term goals with particularly promising development potential are formulated as guiding themes for Berlin and Brandenburg:
Guiding themes of the Focal Point of Optical Technologies for Transport and Space Travel
Images of our environment: from UV to IR:
All objects in our environment create typical spectral signatures using electromagnetic waves which they emit or reflect. The sensor technologies today are capable of converting the visual part of the spectrum into high-resolution images. This does not apply to the adjacent spectral ranges - ultraviolet (UV) and infrared (IR) - however. Using these ranges leads to completely new aspects for the detection of object properties. The aim is to create the scientific and technical foundations for spatial, radiometric and spectral high-resolution optoelectronic systems from UV up to IR etc. for the likes of remote sensing, transport data collection, environmental monitoring and safety.
From data to meaningful information in real time
The large number of digital sensors today makes the flood of data unmanageable. This affects optical systems in particular. The desire for ever increasing spatial resolution in more and more spectral channels and the associated derivation of complex data products represents a daunting challenge for the users of such data. The aim is to extract user-relevant information automatically from the data of many different sensors in real time by using intelligent algorithms for the likes of dynamic traffic conditioning, the autonomous dispatch of automatic trains etc.
Intelligent sensor networks
The sensor technologies available today influence the desire of the users to receive more and more information on the devices under test. The expansion to other spectral ranges is being dealt with. However, one sensor alone will not be in a position to determine all relevant information. Different sensor systems contribute to the knowledge on the object. Intelligent algorithms extract the relevant information and pass this on to other systems which are capable of consolidating data and combining different object properties. The aim is to create the scientific and technical foundations for scalable multi-sensor networks for safety-related applications, for example. The senate-supported Interdisciplinary Research Association (IFV) "Optical Technologies for Transport and Space Travel" has proven itself as an organization form.
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