Patrick Fleischmann

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This paper introduces a model based detection approach for typical structures in the agricultural environment. In contrast to other existing approaches in this area it exclusively relies on distance data information generated by a laser scanner which makes the detection robust against varying illumination. Additionally, the method was designed to be easily(More)
This paper proposes a new algorithm called soft partitioning particle swarm optimization (SPPSO), which performs video-based markerless human pose tracking by optimizing a fitness function in a 31-dimensional search space. The fitness function is based on foreground segmentation and edges. SPPSO divides the optimization into two stages that exploit the(More)
In recent years, we developed a considerable range of networked robotic applications based on the software framework Finroc. Such systems often require integrating diverse communication technologies, protocols, and computing platforms. In this context, beneficial concepts and approaches applied in the framework are introduced – and their positive impact on(More)
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