Abstract: A method for assessing a camera calibration. In the method, a first quality measure is ascertained, a systematic error having to be assessed using the first quality measure, the assessment being carried out with respect to errors remaining after a calibration, an overall calibration object including at least one calibration object being virtually segmented into calibration objects, a detector noise being estimated for each calibration object, which are combined to form an overall estimate, which is compared with an estimate of the detector noise of the overall calibration object.

Abstract: A computer-implemented method for self-calibration of at least one camera. The method comprises: ascertaining at least two corresponding images from a sequence of recorded images, the recorded images resulting from recordings of the camera, the corresponding images having correspondences which are specific to at least one camera parameter, the camera parameter being specific to the geometric imaging behavior of the camera; ascertaining the respective correspondence by an application of an artificial neural network, the application being based on the corresponding images; determining at least the camera parameter based on the ascertained correspondences for the self-calibration of the camera.

Abstract: A method for measuring the influence of a transparent pane. In the method, a displacement field induced by the pane is determined. In a first step, a first image of a textured surface without the transparent pane is acquired; in a second step, a second image of the textured surface with the transparent pane is acquired; and in a third step, the displacement field is determined by analyzing the two images using an optical flow method.

Abstract: A method for assessing a camera calibration, in which a first quality measure is ascertained. A statistical error is assessed using the first quality measure. An expected value for a mapping error is ascertained. Optimal model parameters and their covariance matrix initially are accessed. A matrix of a mapping error is then determined. Finally, the expected value of the mapping error is ascertained.

Abstract: A method for deriving at least one item of information from images of a stereo camera. A resource-saving and at the same time accurate derivation of information from the images is achieved by alternately using and processing the images with methods of monocular image processing and deriving at least one item of information from the results. A motor vehicle comprising a stereo camera and comprising a control device which carries out the method, are also described.

Abstract: A method is provided for creating at least one map of vehicle surroundings with the aid of a control unit. It is checked based on a comparison between received measured data and stored or received map data, whether first features, for example semantic features, are present and complete. First features available in a vehicle surroundings are extracted from the received measured data if no or incomplete map data are present. It is checked whether a localization is possible within the vehicle surroundings with the aid of the first semantic features. If a localization is imprecise or not possible with the aid of the ascertained first features, second features are extracted from the received measured data. A digital map of vehicle surroundings is created based on the ascertained first features and/or the second features. Furthermore, a control unit, a computer program as well as a machine-readable memory medium are provided.

Abstract: The disclosure relates to a method for determining a model for describing at least one environment-specific GNSS profile, comprising at least the following steps: a) receiving at least one measurement data record, which describes at least one GNSS parameter of a GNSS signal between a GNSS satellite and a GNSS receiver, b) using the measurement data record received in step a) to determine at least one model parameter for a model for describing the at least one environment-specific GNSS profile, and c) providing the model for describing the at least one environment-specific GNSS profile.

Abstract: A calibration body device for calibrating a camera system, a depth sensor, in particular a LIDAR system, and a radar system. The calibration body device includes at least one base body, which includes at least three calibration surfaces fixedly situated relative to one another and oriented differently from one another, which are designed to be radar-reflective. The at least three calibration surfaces each include at least one assignable calibration pattern.

Abstract: A method is described for updating a digital map for vehicle navigation. The method includes a step of determining an adjustment signal for adjusting a detection range of an environment sensor of a vehicle to a section of an environment of the vehicle that corresponds to an area of the digital map to be updated, using an item of information about the area to be updated, and the method including a step of supplying area data for updating the digital map, the area data representing an image of the section of the environment detected by the environment sensor.

Abstract: A method for generating an optical marker for image processing/photogrammetry/motion detection using an output unit and/or a control and/or regulation unit. The optical marker is output/generated in such a way that the represented optical marker is formed by a regular pattern of angular structures and by substructures, each of which is situated completely within one of the structures. In each case, at least two directly adjacent structures, viewed in at least two mutually perpendicularly oriented directions along a projection plane of the optical marker, have different colors, and a color sequence of the plurality of structures periodically repeats along the two directions. The optical marker is formed from unique minimum recognition areas within the optical marker. The optical marker is output/generated in such a way that the substructures each include an imaging surface that corresponds to at least 15% of a maximum projection surface spanned by one of the structures.

Abstract: A method for assessing a camera calibration, in which a first quality measure is ascertained. A statistical error is assessed using the first quality measure. An expected value for a mapping error is ascertained. Optimal model parameters and their covariance matrix initially are accessed. A matrix of a mapping error is then determined. Finally, the expected value of the mapping error is ascertained.

Abstract: A method for assessing a camera calibration. In the method, a first quality measure is ascertained, a systematic error having to be assessed using the first quality measure, the assessment being carried out with respect to errors remaining after a calibration, an overall calibration object including at least one calibration object being virtually segmented into calibration objects, a detector noise being estimated for each calibration object, which are combined to form an overall estimate, which is compared with an estimate of the detector noise of the overall calibration object.

Abstract: A method for uploading data of a motor vehicle, including the steps: acquiring surrounding-area data of the motor vehicle with the aid of a sensor device; generating a locational reference for the acquired surrounding-area data; evaluating the acquired surrounding-area data by comparing the acquired surrounding-area data to known surrounding-area data of a data storage unit of a server device; and uploading the acquired surrounding-area data to the server device (40) as a function of the evaluation.

Abstract: A method is described for updating a digital map for vehicle navigation. The method includes a step of determining an adjustment signal for adjusting a detection range of an environment sensor of a vehicle to a section of an environment of the vehicle that corresponds to an area of the digital map to be updated, using an item of information about the area to be updated, and the method including a step of supplying area data for updating the digital map, the area data representing an image of the section of the environment detected by the environment sensor.

Abstract: A method for transmitting, receiving and processing data values, including detecting first data values, which represent at least one first transition from an automated operation of at least one first automated vehicle to a manual operation of the at least one first automated vehicle. The method also includes transmitting the first data values, receiving the first data values and a step of processing the first data values, and a transmission device and a receiving device for carrying out the method for transmitting, receiving and processing data values.

Abstract: A method of an automated motor vehicle for optimized communication from a server of localization reference data for a defined location includes a sensor of the motor vehicle capturing driving environment data, linking the captured driving environment data to location information, based on the linking, localizing the motor vehicle at an achieved localization accuracy, identifying a setpoint localization accuracy at which an operation of the motor vehicle is to be performed, signaling to the server the achieved localization accuracy, and transmitting to the server a request for the localization reference data at the setpoint localization accuracy based on the signaled achieved localization accuracy.

Abstract: A method for providing driving-environment data for a driver-assist system on board a motor vehicle includes determining a route to be traveled; providing driving-environment data along the determined route, driving-environment data along an initial section of a road deviating from the route additionally being provided; determining that the motor vehicle is traveling on the road; determining a new route that includes the traveled road; and providing driving-environment data along the new route.

Abstract: A method for uploading data of a motor vehicle, including the steps: acquiring surrounding-area data of the motor vehicle with the aid of a sensor device; generating a locational reference for the acquired surrounding-area data; evaluating the acquired surrounding-area data by comparing the acquired surrounding-area data to known surrounding-area data of a data storage unit of a server device; and uploading the acquired surrounding-area data to the server device (40) as a function of the evaluation.

Abstract: A method of an automated motor vehicle for optimized communication from a server of localization reference data for a defined location includes a sensor of the motor vehicle capturing driving environment data, linking the captured driving environment data to location information, based on the linking, localizing the motor vehicle at an achieved localization accuracy, identifying a setpoint localization accuracy at which an operation of the motor vehicle is to be performed, signaling to the server the achieved localization accuracy, and transmitting to the server a request for the localization reference data at the setpoint localization accuracy based on the signaled achieved localization accuracy.

Abstract: A method for providing driving-environment data for a driver-assist system on board a motor vehicle includes determining a route to be traveled; providing driving-environment data along the determined route, driving-environment data along an initial section of a road deviating from the route additionally being provided; determining that the motor vehicle is traveling on the road; determining a new route that includes the traveled road; and providing driving-environment data along the new route.