Abstract: A method for processing sensor data in a system that includes multiple sensors for detecting at least a subarea of surroundings around the system. The method includes at least the following steps: a) reading in sensor data detected at least partially in parallel, b) checking whether an at least partial impairment of the detection by the respective sensor may be established for one or for multiple of the sensors on the basis of the read-in sensor data, c) adapting the use of the sensor data, taking the check from step b) into account.

Abstract: A method for calibrating a multiplicity of cameras on a vehicle in a common coordinate system. The method includes: a) acquiring camera images using each camera of the multiplicity of cameras, b) ascertaining overlap regions of camera images acquired in step a), c) setting up a common optimization function, which describes the alignments of each camera of the multiplicity of cameras as a target variable of the optimization, based on the overlap regions, d) solving the common optimization function set up in step c) to ascertain the alignments of each camera.

Abstract: A method for generating training data for a trainable method for a system including sensor(s) for detecting at least one subarea of the surroundings around the system. The method includes: a) obtaining first and second detections having at least one known relative ratio between the detections and/or the sensors that carried out the detections; b) determining a portion of the particular content of the detections, and assigning a piece of information concerning the determined content to the detection in question, c) projecting assigned piece of information from one of the detections and/or from a content representation associated with same into at least one other of the detections and/or into a content representation associated with the other detection, d) checking a subarea of at least one of the detections and/or of at least one of the content representations for possible inconsistencies in the detection content.

Abstract: A method of operating at least one image sensor that records an image content with a recording direction. The method includes the following steps: a) determining at least one piece of information about an expected main direction of movement of an expected movement in at least a portion of an image content to be recorded relative to the image sensor, b) setting the recording direction taking into account the expected main direction of movement, c) recording at least a portion of the image content with the recording direction.

Abstract: A method for linking optical flow across a plurality of images of an image detection device for a vehicle. At least one tile is selected from a track map, the track map including a plurality of flow tracks and being subdivided into a plurality of tiles. At least one flow track encompassed by the tile is subsequently extended, using a flow vector of a flow map that is associatable with the flow track. The flow map includes a plurality of flow vectors that are based on a present image of the plurality of images.

Abstract: A method for ascertaining an optical flow based on an image sequence recorded by a camera of a vehicle. In the process, at least one input signal, which represents vehicle surroundings and/or a driving situation of the vehicle identified using at least one sensor of the vehicle and/or a result of a previous ascertainment of the optical flow, and an image signal representing the image sequence are received. A time difference value is determined using the input signal. At least two individual images of the image sequence which are offset from one another by the time difference value are selected, using the image signal. Coinciding pixels in the individual images are detected to ascertain the optical flow using the coinciding further pixels.

Abstract: A method for ascertaining an optical flow based on an image sequence recorded by a camera of a vehicle. In the process, at least one input signal, which represents vehicle surroundings and/or a driving situation of the vehicle identified using at least one sensor of the vehicle and/or a result of a previous ascertainment of the optical flow, and an image signal representing the image sequence are received. A time difference value is determined using the input signal. At least two individual images of the image sequence which are offset from one another by the time difference value are selected, using the image signal. Coinciding pixels in the individual images are detected to ascertain the optical flow using the coinciding further pixels.