Abstract: A method for obstacle detection for a rail vehicle includes determining a monitoring region in front of the vehicle based on position and course of a track which the vehicle travels and position and dimensions of a monitoring profile of the vehicle. During the determination, sensor data for determining position and orientation of the vehicle are captured and position and course of the track which the vehicle travels are determined based on alignment of the determined position and orientation of the vehicle with digital map data. Objects in the vehicle environment are captured by sensors of the vehicle. Which objects are potential collision obstacles is determined by checking whether and to what extent they overlap with the monitoring region. A reaction to the objects categorized as potential obstacles is determined based on geometric and kinetic attributes of the objects. An obstacle detection device and a vehicle are also provided.

Abstract: A method of generating control data for a manufacture of a three-dimensional object comprises the following steps: identifying surface data in a computer-based model of said object that correspond to a surface of the object, which is destined to get into contact with the fluid, determining the flow path adjacent a portion of said surface in said computer-based model, modifying said computer-based model such that support structure data are added to the model, said data specifying a support structure designed to be in contact with said portion of said at least one surface during the manufacture of said object, wherein said support structure data are added to the model such that at least one contact region between the support structure and said portion will essentially extend in parallel to the flow path adjacent said portion, preferably deriving control data for the manufacture of the object from the modified model.