Michael Schmidt

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The efficient realization of self-organizing systems based on 2D stencil code applications, like our developed Marching Pixel algorithms, is a great challenge. They are data-intensive and also computational-intensive, because often a high number of iterations is required. FPGAs are predestined for the realization of these algorithms. They are very flexible,(More)
Path Planning is one of the most computationally intensive tasks in robot systems and a challenge in dynamically changing environments. By means of FPGAs it is possible to process time-critical and data-intensive tasks in robot systems efficiently. We have developed a parallel path planning algorithm which is based on Marching Pixels, an organic computing(More)
Research is described for realizing a Remote Airport Traffic Control Center (DLR project RAiCe) for remote surveillance and control of several small airports from a central location. Work and task analyses performed in a previous project resulted in the concept of a high resolution video panorama system with zoom and augmented vision functions as(More)
In this paper research is described which aims at the long term goal of a Virtual Airport Tower without the need of a real tower building, however with improved functionality. Specifically we address the intermediate step of a Remote Airport Tower Center (RTC) for remote surveillance and control of small airports. Because previous work and task analyses(More)
The usage of Cellular Automata (CA) for image processing tasks in self-organizing systems is a well known method, but it is a challenge to process such CAs in an embedded hardware efficiently. CAs present a helpful base for the design of both robust and fast solutions for embedded image processing hardware. Therefore, we have developed a system on a chip(More)
Image processing in machine vision is a challenging task because often real-time requirements have to be met in these systems. To accelerate the processing tasks in machine vision and to reduce data transfer latencies, new architectures for embedded systems in intelligent cameras are required. Furthermore, innovative processing approaches are necessary to(More)
Due to the increasing needs of always faster automation technology in the field of industrial fabrication the common methods of machine vision meet their limits. The reasons are the widely used serial computation and transmission of data streams on the base of strict spatially separated data capturing by an image sensor and data processing, e.g. by a(More)
A pump-probe experimental approach has been shown to be a very efficient tool for the observation and analysis of various laser matter interaction effects. In those setups, synchronized laser pulses are used to create an event (pump) and to simultaneously observe it (probe). In general, the physical effects that can be investigated with such an apparatus(More)