Abstract: A simulated environment is generated and adapted through interaction with a user. Prior performance metrics indicating behavior of a student in performing a prior learning task are obtained. A student profile is updated based on the prior performance metrics. Lesson parameters indicating content to be included in an interactive lesson are obtained. Rules for the interactive lesson are then generated based on the student profile and the lesson parameters. The rules are applied to a classifier trained via a reference data set representing prior performance of a student population. Via the classifier, instructions for generating a simulated environment encompassing the interactive lesson are generated. A representation of the simulated environment is then generated based on the instructions.

Abstract: A method for matching a digital road map to a digital reference road map, wherein the two road maps in each case include semantic information about objects represented on the two road maps. The method includes: associating objects on the road map with objects on the reference road map on the basis of the respective semantic information such that only objects with the same semantic information are associated with one another; matching the road map to the reference road map on the basis of the association, wherein the matching comprises creating a delta pose between the road map and the reference road map. A device, a computer program, and a machine-readable storage medium are also described.

Abstract: A method and a device for determining and providing environmental feature information. A method and a device for creating a map are also described.

Abstract: A method and first device for creating a digital map. The digital map represents at least one region along a traffic route. A method and second device for operating an automated vehicle along a traffic route is also described.

Abstract: An anonymization apparatus 6 is proposed for the generation of anonymized images 9, wherein surveillance images 5 are provided through video surveillance of a surveillance region 3 by means of at least one camera 2, with a recognition module 11, wherein the surveillance images 5 are provided to the recognition module 11, wherein the recognition module 11 is configured to recognize persons 4 contained in the surveillance images 5, with a processing module 13, wherein the processing module 13 is configured to process the surveillance images 5 into the anonymized images 9, wherein at least one person 4 or person segment included in the surveillance images 5 is anonymized in the anonymized images 9, wherein the processing module 13 is configured to replace the recognized person 4 or person segment by an animated person model 14 for the purpose of anonymization.

Abstract: An anonymization apparatus 6 is proposed for the generation of anonymized images 9, wherein surveillance images 5 are provided through video surveillance of a surveillance region 3 by means of at least one camera 2, with a recognition module 11, wherein the surveillance images 5 are provided to the recognition module 11, wherein the recognition module 11 is configured to recognize persons 4 contained in the surveillance images 5, with a processing module 13, wherein the processing module 13 is configured to process the surveillance images 5 into the anonymized images 9, wherein at least one person 4 or person segment included in the surveillance images 5 is anonymized in the anonymized images 9, wherein the processing module 13 is configured to replace the recognized person 4 or person segment by an animated person model 14 for the purpose of anonymization.

Abstract: A method for determining a viewing direction of a person, such as a driver in a motor vehicle, is provided. The method includes detecting a surface contour of a surface of an eye of the person, ascertaining a normal vector on the surface of the eye depending on the detected surface contour, and determining the viewing direction of the person depending on the normal vector.

Abstract: A method for segmenting a first scene from a sequence of scenes is described. In this case, the sequence of scenes was captured by a camera in or on a vehicle such as by smartglasses. The method determines an optical flow of the first scene, on the basis of the sequence of scenes. In addition, the method determines statistical variables of the optical flow in different partial regions of the first scene. Furthermore, the method determines, on the basis of the statistical variables, a separating line between a foreground region and a background region of the first scene. In this case, determining the separating line includes determining, on the basis of the statistical variables, an indicator of whether the optical flow in the background region is attributable to a movement of the vehicle.

Abstract: Data eyeglasses include a first display, a camera, and an analyzing unit. The data eyeglasses is configured to: record the surroundings of the data eyeglasses via the camera, detect an image displayed by a second display in the recordings of the camera; detect that the displayed image has a marker for determining the pose of the data eyeglasses; detect the marker; and determine the pose of the data eyeglasses by use of the detected marker.

Abstract: A head mounted display is configured to determine the posture of the head mounted display relative to a vehicle. The head mounted display includes a display, a camera and an electronic computing unit; and is set up to: create recordings of the environment of the head mounted display with the aid of the camera; receive details relating to the position and/or orientation of a movable object in the interior of the vehicle; detect the image of the object in the recordings from the camera; and determine the posture of the head mounted display taking into account the image of the object in the recordings relative to the vehicle. The posture of the head mounted display indicates the position of the pair of data glasses and the alignment of the pair of data glasses.

Abstract: A method of performing geometrical measurements of remote objects includes performing a laser sweep of a measurement object with a handheld sensor device including a distance measurement unit and an inertial measurement unit. The method includes activating the distance measurement unit to perform a plurality of distance measurements during the laser sweep, and activating the inertial measurement unit to perform an inertial measurement in association with each of the distance measurements. A processor is used to process the distance measurements with reference to the associated inertial measurements to determine a geometric characteristic of the measurement object.

Abstract: A method for determining a viewing direction of a person, such as a driver in a motor vehicle, is provided. The method includes detecting a surface contour of a surface of an eye of the person, ascertaining a normal vector on the surface of the eye depending on the detected surface contour, and determining the viewing direction of the person depending on the normal vector.

Abstract: A method for segmenting a first scene from a sequence of scenes is described. In this case, the sequence of scenes was captured by a camera in or on a vehicle such as by smartglasses. The method determines an optical flow of the first scene, on the basis of the sequence of scenes. In addition, the method determines statistical variables of the optical flow in different partial regions of the first scene. Furthermore, the method determines, on the basis of the statistical variables, a separating line between a foreground region and a background region of the first scene. In this case, determining the separating line includes determining, on the basis of the statistical variables, an indicator of whether the optical flow in the background region is attributable to a movement of the vehicle.

Abstract: A method for generating a floor plan of a room uses a mobile electronic device and a range finder to produce approximate and modified floor plans. The method includes receiving a plurality of strokes corresponding to walls in a room with a gesture input device, generating an approximate floor plan of the room based on the strokes, generating an approximate floor plan of the room with reference to the plurality of strokes, receiving an input gesture corresponding to one wall in the approximate floor plan of the room for measurement, receiving measurement data from a range finder corresponding to a dimension of the selected one wall, modifying the approximate floor plan with reference to the measurement data from the range finder, and generating with a display of the modified floor plan of the room.

Abstract: Data eyeglasses include a first display, a camera, and an analyzing unit. The data eyeglasses is configured to: record the surroundings of the data eyeglasses via the camera, detect an image displayed by a second display in the recordings of the camera; detect that the displayed image has a marker for determining the pose of the data eyeglasses; detect the marker; and determine the pose of the data eyeglasses by use of the detected marker.

Abstract: A head mounted display is configured to determine the posture of the head mounted display relative to a vehicle. The head mounted display includes a display, a camera and an electronic computing unit; and is set up to: create recordings of the environment of the head mounted display with the aid of the camera; receive details relating to the position and/or orientation of a movable object in the interior of the vehicle; detect the image of the object in the recordings from the camera; and determine the posture of the head mounted display taking into account the image of the object in the recordings relative to the vehicle. The posture of the head mounted display indicates the position of the pair of data glasses and the alignment of the pair of data glasses.

Abstract: A method of performing geometrical measurements of remote objects includes performing a laser sweep of a measurement object with a handheld sensor device including a distance measurement unit and an inertial measurement unit. The method includes activating the distance measurement unit to perform a plurality of distance measurements during the laser sweep, and activating the inertial measurement unit to perform an inertial measurement in association with each of the distance measurements. A processor is used to process the distance measurements with reference to the associated inertial measurements to determine a geometric characteristic of the measurement object.

Abstract: A measurement apparatus for automatic three-dimensional measurement of space includes a camera sensor array that is configured to generate low-resolution video recordings. The camera sensor array is further configured to automatically generate high-resolution images at geometrically suitable positions in the space. Automatic recording of the high-resolution images is based on a three-dimensional real-time reconstruction of the video recordings. A measurement system includes the measurement apparatus and a corresponding method is implemented for the automatic three-dimensional measurement of the space.

Abstract: A manual distance measuring apparatus includes at least one computing unit, an image acquisition means and a laser measuring device, which determines a distance of a measurement point on a measurement object in a measurement direction during a measuring process. The computing unit is configured to control, at least by open-loop control, the measurement direction depending at least on an output characteristic variable of the image acquisition means.

Abstract: A method for generating a floor plan of a room uses a mobile electronic device and a range finder to produce approximate and modified floor plans. The method includes receiving a plurality of strokes corresponding to walls in a room with a gesture input device, generating an approximate floor plan of the room based on the strokes, generating an approximate floor plan of the room with reference to the plurality of strokes, receiving an input gesture corresponding to one wall in the approximate floor plan of the room for measurement, receiving measurement data from a range finder corresponding to a dimension of the selected one wall, modifying the approximate floor plan with reference to the measurement data from the range finder, and generating with a display of the modified floor plan of the room.