Patrick Fleischmann

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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)
This paper addresses a planning approach based on B-splines for successively generated trajectories. Additionally, the lateral controller which was used to calculate the steering angle is described and the method how the required parameters were determined is introduced. It is explained how the output of a perception system is used to generate control(More)
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)
CubETH is a project to evaluate and demonstrate possibilities of low-cost GNSS receivers on a nano-satellite by following the Cubesat standard. The development of this new Swiss cubesat mission is underway at the Swiss Polytechnical Schools, launch is planned for 2016. Scientific goal are: precise orbit determination and estimate of satellite attitude based(More)
Es ist bekannt, dal~ Atropin zu denjenigen Giften gehSrt, gegen welehe die einzelnen Lebewesen eine ganz enorm versehiedene Empfindliehkeit an den Tag legen. Der Menseh ist wohl mit das empfindliehste Wesen; es folgen Affe, Katze, Hund, Kaninehen, Meersehweinehen, Ratte, Zieg'e, Taube, Sehwein (naeh Richer1). Far Kaninehen wird angegeben, daft sie subkutan(More)
In this paper, an image-based segmentation method to improve autonomous robot navigation in the forest is presented. The detection is supported by a filtered image generated from a stereo-based pre-processing which is a byproduct of our obstacles detection system. To cope with the large variability of forest paths, the classifier is dynamically adapted to(More)