Joshua Hampp

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The division of floor plans or navigation maps into single rooms or similarly meaningful semantic units is central to numerous tasks in robotics such as topological mapping, semantic mapping, place categorization, human-robot-interaction, or automatized professional cleaning. Although many map partitioning algorithms have been proposed for various(More)
Derivation of geometric structures from point clouds is an important step towards scene understanding for mobile robots. In this paper, we present a novel method for segmentation and surface classification of ordered point clouds. Data from RGB-D cameras are used as input. Normal based region growing segments the cloud and point feature descriptors classify(More)
In this paper, we present a novel method for surface reconstruction with a low execution time for segmenting and representing scattered scenes accurately. The surfaces are described in a memory-efficient fashion as polynomial functions and polygons. Segmentation and parameter determination is done in one pass by using a quadtree on ordered point clouds,(More)
Millions of office workplaces are cleaned by a surprisingly small group of cleaning workers every day, however, cleaning companies struggle to recruit enough personnel these days. One solution to this challenge is to schedule available professionals for demanding tasks while relieving them from simpler activities which are transferred to a robotic cleaning(More)
We present a descriptor estimator for surface-based 3D input data for coarse localization of mobile robots. From the input pointclouds surfaces are reconstructed and simplified to detect stable keypoints which are used to evaluate rotation and translation invariant features. The invariance is achieved by transforming the triangulated input data into the(More)
Accurate surface normal computation is one of the most basic and important tasks for 3d perception. While much progress has been made in speeding up normal estimation algorithms and improving their accuracy, a significant inaccuracy still remains even with modern implementations, which is the correct determination of surface normals close to(More)
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