Lukas Schneider

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Few developments in microbiological diagnostics have had such a rapid impact on species level identification of microorganisms as matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF MS). Conventional differentiation methods rely on biochemical criteria and require additional pre-testing and lengthy incubation procedures.(More)
This paper presents a stereo vision-based scene model for traffic scenarios. Our approach effectively couples bottom-up image seg-mentation with object-level knowledge in a sound probabilistic fashion. The relevant scene structure, i.e. obstacles and freespace, is encoded using individual Stixels as building blocks that are computed bottom-up from dense(More)
This thesis describes key issues in the design of an autonomous mobile robot. Different kinds of sensors and actuators are instrumented with low-cost microcontrollers to operate as smart transducer nodes. These nodes are responsible for observing the mobile robot's environment, computing a safe passage through this environment, and controlling the driving(More)
The pulvinar complex is extensively interconnected with brain regions involved in spatial processing and eye movement control. Recent inactivation studies have shown that the dorsal pulvinar plays a role in saccade target selection. However, it remains unknown whether it exerts effects on visual processing or at planning/execution stages. We employed(More)
We present a novel method for accurate and efficient up-sampling of sparse depth data, guided by high-resolution imagery. Our approach goes beyond the use of intensity cues only and additionally exploits object boundary cues through structured edge detection and semantic scene labeling for guidance. Both cues are combined within a geodesic distance measure(More)
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