Daniel Koester

Learn More
Many problems with underlying variational structure involve a coupling of volume with surface effects. A straight-forward approach in a finite element discretization is to make use of the surface triangulation that is naturally induced by the volume triangulation. In an adaptive method one wants to facilitate “matching” local mesh modifications, i.e., local(More)
We address the problem of determining the accessible section in front of a walking person. In our definition, the accessible section is the spatial region that is not blocked by obstacles. For this purpose, we use gradients to calculate surface normals on the depth map and subsequently determine the accessible section using these surface normals. We(More)
Assistive navigation systems for the blind commonly use speech to convey directions to their users. However, this is problematic for short range navigation systems that need to provide fine but diligent guidance in order to avoid obstacles. For this task, we have compared haptic and audio feedback systems under the NASA-TLX protocol to analyze the(More)
We propose a data driven approach to detect zebra crossings in aerial imagery. The system automatically learns an appearance model from available geospatial data for an examined region. HOG as well as LBPH features, in combination with a SVM, yield state of the art detection results on different datasets. We also use this classifier across datasets obtained(More)
Biochips are physically and/or electronically controllable miniaturized labs. They are used for combinatorial chemical and biological analysis in environmental and medical studies, e.g., for high throughput screening, hybridization and sequencing in genomics, protein profiling in proteomics, and cytometry in cell analysis. The precise positioning of the(More)
We determine the region in front of a walking person that is not blocked by obstacles. This is an important task when trying to assist visually impaired people or navigate autonomous robots in urban environments. We use conditional random fields to learn how to interpret texture and depth information for their accessibility. We demonstrate the effectiveness(More)
Autonomous driving is currently a very active research area with virtually all automotive manufacturers competing to bring the first autonomous car to the market. This race leads to billions of dollars being invested in the development of novel sensors, processing platforms, and algorithms. In this paper, we explore the synergies between the challenges in(More)
Blind and partially sighted people have encountered numerous devices to improve their mobility and orientation, yet most still rely on traditional techniques, such as the white cane or a guide dog. In this paper, we consider improving the actual orientation process through the creation of routes that are better suited towards specific needs. More precisely,(More)
❆❜str❛❝t✳ ❆ss✐st✐✈❡ ♥❛✈✐❣❛t✐♦♥ s2st❡♠s ❢♦r t❤❡ ❜❧✐♥❞ ❝♦♠♠♦♥❧2 ✉s❡ s♣❡❡❝❤ t♦ ❝♦♥✈❡2 ❞✐r❡❝t✐♦♥s t♦ t❤❡✐r ✉s❡rs✳ ❍♦✇❡✈❡r✱ t❤✐s ✐s ♣r♦❜❧❡♠❛t✐❝ ❢♦r s❤♦rt r❛♥❣❡ ♥❛✈✐❣❛t✐♦♥ s2st❡♠s t❤❛t ♥❡❡❞ t♦ ♣r♦✈✐❞❡ ✜♥❡ ❜✉t ❞✐❧✐❣❡♥t ❣✉✐❞❛♥❝❡ ✐♥ ♦r❞❡r t♦ ❛✈♦✐❞ ♦❜st❛❝❧❡s✳ ❋♦r t❤✐s t❛s❦✱ ✇❡ ❤❛✈❡ ❝♦♠♣❛r❡❞ ❤❛♣t✐❝ ❛♥❞ ❛✉❞✐♦ ❢❡❡❞❜❛❝❦ s2st❡♠s ✉♥❞❡r t❤❡ ◆❆❙❆✲❚▲❳ ♣r♦t♦❝♦❧ t♦ ❛♥✲ ❛❧23❡(More)
  • 1