Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: running an application on one or more computing node, the application providing user access to a database; receiving by the application registration data from a user for registering the user into a service; in response to the receiving the registration data from the user, generating a user schema that defines access rights of the user to the database, wherein the generated user schema includes a set of shared data structure objects instantiated in a storage system associated to the application, and a set of private data structure objects.

Abstract: A method of modelling a scanning distance sensor determining a set of detections is determined as if obtained by the sensor when scanning a field of view of the sensor, wherein each of the detections corresponds to a different line of sight originating from the sensor and comprises information about the orientation of the respective line of sight and about the distance of a respective target point from the sensor, the target point being the point in space where the line of sight first crosses any of the objects at the respective point in time. The method includes that the set of detections is modified by estimating the effect of sequentially scanning the field of view in discrete time steps on the detections and inversely applying the estimated effect to the set of detections.

Abstract: A computer implemented method simulates a digital imaging device capturing a scene. The imaging device includes a color filter array and an output channel for each primary color of the color filter array. The method includes providing an image of the scene containing pixel data for a pixel of the digital imaging device, the pixel data being specified in an input color space, wherein reference color stimuli of the input color space differ from the primary colors of the color filter array of the digital imaging device, determining a luminance value of the pixel data, assigning at least one spectral color to the pixel data, calculating a color dependent output value of the pixel data for each output channel, and providing the calculated output values of the pixel data as output data of the pixel of the imaging device.

Abstract: A method of estimating whether an object is visible for a sensor includes determining a position and orientation of at least two objects, defining surfaces tangent to each object that cover the object, and defining a plurality of rays starting at a sensor position specifying an origin of a coordinate system. Each ray has an azimuth and elevation angle in the coordinate system. For each object, a respective subset of rays have a point of intersection with at least one of the surfaces of the object. For each ray of the subset, the object comprising the point of intersection having the shortest distance to the origin of the coordinate system is identified, and a visibility index for the identified object is increased. A percentage of visibility for each object is determined as a ratio of the visibility index and the number of rays of the subset of the object.

Abstract: A method of estimating whether an object is visible for a sensor includes determining a position and orientation of at least two objects, defining surfaces tangent to each object that cover the object, and defining a plurality of rays starting at a sensor position specifying an origin of a coordinate system. Each ray has an azimuth and elevation angle in the coordinate system. For each object, a respective subset of rays have a point of intersection with at least one of the surfaces of the object. For each ray of the subset, the object comprising the point of intersection having the shortest distance to the origin of the coordinate system is identified, and a visibility index for the identified object is increased. A percentage of visibility for each object is determined as a ratio of the visibility index and the number of rays of the subset of the object.

Abstract: A computer implemented method simulates a digital imaging device capturing a scene. The imaging device includes a color filter array and an output channel for each primary color of the color filter array. The method includes providing an image of the scene containing pixel data for a pixel of the digital imaging device, the pixel data being specified in an input color space, wherein reference color stimuli of the input color space differ from the primary colors of the color filter array of the digital imaging device, determining a luminance value of the pixel data, assigning at least one spectral color to the pixel data, calculating a color dependent output value of the pixel data for each output channel, and providing the calculated output values of the pixel data as output data of the pixel of the imaging device.

Abstract: A method of modelling a scanning distance sensor determining a set of detections is determined as if obtained by the sensor when scanning a field of view of the sensor, wherein each of the detections corresponds to a different line of sight originating from the sensor and comprises information about the orientation of the respective line of sight and about the distance of a respective target point from the sensor, the target point being the point in space where the line of sight first crosses any of the objects at the respective point in time. The method includes that the set of detections is modified by estimating the effect of sequentially scanning the field of view in discrete time steps on the detections and inversely applying the estimated effect to the set of detections.