Abstract: A method for satellite-based detection of vehicle location uses a motion and location sensor. GNSS data is received as an input variable, at least one further input variable is also received. Weighting factors for the input variable and the at least one further input variable are determined. The input variable and the at least one further input variable are weighted by the weighing factors. The vehicle location is detected via the weighted input variable and the weighted at least one further input variable.

Abstract: A position determining arrangement for a vehicle includes: a receiving device, in particular an antenna, designed to receive a navigation satellite signal from a navigation satellite; a processing device designed to provide a first signal depending on the received navigation satellite signal, the first signal describing a navigation satellite signal-based position of the receiving device in a coordinate system; at least one inertial sensor designed to detect an acceleration and/or a rate of rotation; a computing unit designed to determine an adapted position of the receiving device in the coordinate system depending on the first signal and the detected acceleration and/or rate of rotation; and a first housing in which at least the computing unit is located. The position determining arrangement includes a second housing independent of and spatially separated from the first housing, and the inertial sensor is located in the second housing.

Abstract: A method and apparatus for operating an automated vehicle. The method includes: acquiring environmental data values which represent objects in an environment of the automated vehicle; determining a position of the automated vehicle; comparing the environmental data values with a digital map, depending on the position of the automated vehicle, the digital map including environmental features, a first subset of the objects being determined as static objects when these objects are comprised as environmental features in the digital map, and a second subset of the objects are determined as non-static objects, when these objects are not comprised as an environmental feature in the digital map; determining a motion behavior of the non-static objects relative to the automated vehicle; determining a travel strategy for the automated vehicle, depending on the motion behavior of the non-static objects; and operating the automated vehicle, depending on the travel strategy.

Abstract: A method for controlling sensors or components of a vehicle, using a control device. Measurement data of at least one sensor of the vehicle being received and evaluated. A traffic situation, in which the vehicle finds itself, is ascertained by evaluating the measurement data; and the at least one sensor and/or at least one component of the vehicle being activated, deactivated and/or set to a standby mode as a function of the ascertained traffic situation. A control device and a computer program are also described.

Abstract: A method for operating a safety system of a motor vehicle includes correcting an output signal of a measuring sensor as a function of a current temperature value measured by a temperature sensor. The motor vehicle includes a sensor device with the measuring sensor to detect a collision and the temperature sensor. The method further includes determining an intrinsic heat of the measuring sensor generated by the operation of the measuring sensor and correcting the output signal as a function of the determined intrinsic heat.

Abstract: A method for determining an evaluation algorithm from a plurality of available evaluation algorithms for the processing of sensor data of a vehicle sensor of a vehicle. The method includes a step of reading in and a step of selecting. In the step of reading in, an environment signal is read in, which represents a current environment parameter acquired by a sensor unit using at least the vehicle sensor and/or received via a communications interface. In the step of selecting, the evaluation algorithm is selected from the plurality of evaluation algorithms for the evaluation of the sensor data of the vehicle sensor using the environment parameter.

Abstract: A method and apparatus for providing a travel strategy for an automated vehicle for a predetermined range. The method includes receiving movement data from further vehicles, wherein the movement data represent movement profiles of the further vehicles within the predetermined range; receiving map data values which represent a highly accurate map, wherein the highly accurate map comprises at least the predetermined range; creating the travel strategy for the automated vehicle within the predetermined range, based on the highly accurate map and depending on the movement profiles of the further vehicles, wherein the travel strategy comprises a trajectory for the automated vehicle; and providing the travel strategy for operating an automated vehicle.

Abstract: The disclosure relates to a method for satellite-based determination of a vehicle position, comprising the following steps: a) receiving GNSS satellite data; b) determining a vehicle's position with the GNSS satellite data received in step a); c) providing input variables that can have an effect on the accuracy of the vehicle position determined in step b); d) determining a positional accuracy of the vehicle position determined in step b) using an algorithm that assigns a positional accuracy to a vehicle position; and e) adapting the algorithm.

Abstract: A method for the satellite-supported determination of a position of a vehicle includes identifying a plurality of satellites which may be usable for determining a position of a vehicle and receiving data which characterize movable reception obstacles in a vicinity of the vehicle. The method includes determining a reduced selection of satellites from the plurality of satellites, based on the received data, and determining the position of the vehicle using signals which have been transmitted from the reduced selection of satellites.

Abstract: A method for training a central artificial intelligence module (“AI module”) for highly or fully automated operation of a vehicle, the central AI module to translate input signals into output signals, and the translation is carried out using a processing chain that is adaptable by modifying values of internal processing parameters, wherein the training of the central AI module takes place by modifying the internal processing parameters based on further internal processing parameters of further AI modules, the further AI modules being in a plurality of vehicles and translating input signals into output signals in each case, and the translations taking place using processing chains that are able to be adapted by modifying values of further internal processing parameters, the further AI modules having been trained using input signals that are based on environment data acquired with using environment sensor systems installed in the vehicles.

Abstract: The disclosure relates to a method for training a first neural network, in particular for generating training data for at least one second neural network, using a controller, wherein measurement data ascertained by at least one surroundings sensor or artificially generated data of initially ten traffic scenarios is received, the received measurement data is fed to the first neural network as input data in order to train the first neural network, and the first neural network which is trained on the basis of the input data is used to generate data of traffic scenarios which differ from the initial traffic scenarios. Furthermore, the disclosure relates to a method for training at least one second neural network, to a controller, to a computer program, and to a machine-readable storage medium.

Abstract: A method monitors a sensor clock signal in a sensor unit, which is generated and output for a data transfer between the sensor unit and a control unit with a predefined period duration. A reference clock signal having a predefined reference period duration is received. The sensor clock signal is compared to the reference clock signal. Based on the comparison, a deviation of the current period duration of the sensor clock signal from a target period duration is detected. Based on the detected deviation, a counting pulse or a reset pulse is emitted.

Abstract: A method for operating an environment sensor system of a vehicle, in particular of an autonomous motor vehicle, and an environment sensor system. The method includes the steps: producing first image data from a first image of a vehicle environment with the aid of a first sensor, performing a setpoint-actual comparison of the first image data with the second image data, and recognizing an operability of the environment sensor system based on the setpoint-actual comparison, the second image data including standard image data and/or image information from a second image of the vehicle environment, and the operability being recognized with the aid of a first artificial intelligence.

Abstract: A method is described for ascertaining particular pieces of status information for at least one geographical position with the aid of autonomous or semi-autonomous vehicles, at least one autonomous or semi-autonomous vehicle detecting pieces of information from its surroundings during a drive with using at least one surroundings sensor and carrying out a planning of its instantaneous travel trajectory based on the obtained pieces of information, and the vehicle detecting additional pieces of information from its surroundings with using its surroundings sensor during a stop, which are not used for planning its instantaneous travel trajectory. The vehicle conveys the ascertained additional pieces of information, with a geographical position at which the additional pieces of information have been detected, to an external server. The external server uses the data received from the vehicle to ascertain at least one piece of status information for the respective geographical position.

Abstract: A method for operating an autonomous driving function of a vehicle. The vehicle includes a computer unit and sensors for detecting surroundings data. The computer unit is configured to determine a setpoint trajectory for the vehicle, based on the detected surroundings data. In step a), an actual trajectory, and distances from objects in the surroundings, are detected. In step b), an ascertainment of the quality of the autonomous driving function takes place by comparing the actual trajectory to the setpoint trajectory and monitoring the detected distances from objects in the surroundings. In step c), a control of the quality to a predefined target value takes place by selecting sensors to be used for the autonomous driving function from the plurality of sensors and/or by changing a measuring rate, at which measurements are carried out, of at least one sensor from the plurality of sensors.

Abstract: A method for operating an autonomous vehicle. The method includes the transmission of status data to a processing unit, which is independent of the autonomous vehicle, using a wireless communications link. The method furthermore includes monitoring of the function of the autonomous vehicle by the independent processing unit while taking the status data into account, and when a malfunction of the autonomous vehicle is detected, the independent processing unit determines target data for guiding the autonomous vehicle to a stopping position. The target data are transmitted to the autonomous vehicle, and the autonomous vehicle is guided to the stopping position with the aid of the target data. A position of the autonomous vehicle is determined using signals from the wireless communications link and is taken into account when determining the target data.

Abstract: A method for the self-check of at least one driving function of an autonomous or semi-autonomous vehicle in vehicle operation, after an error message about the at least one driving function, in which in one step, at least one vehicle electronic system and/or at least one sensor is/are restarted, a check is made for a further appearance of the error message after each restart, and in the event an error message is not repeated after the restart, the driving function in question is checked during operation of the autonomous or semi-autonomous vehicle.

Abstract: A method for detecting an operating capability of an environment sensor of a vehicle. The method includes: ascertaining current coordinates and current orientation of the vehicle; determining at least one object in the environment of the vehicle and a setpoint position of the object in relation to the vehicle as a function of the ascertained coordinates, the ascertained orientation, a predefined position of the environment sensor on the vehicle, and a map of the environment; detecting the environment of the vehicle using the environment sensor, and generating environment data as a function thereof; detecting an actual position of the determined object in the environment of the vehicle as a function of the environment data; and detecting an operating capability of the environment sensor and/or calibrating the environment sensor, based on the actual position of the object with the setpoint position of the object.

Abstract: The disclosure relates to a method for detecting a position of a vehicle having a high level of automation, the method comprising a first reading step, at least one position data signal being read by means of a vehicle-side receiver and the position data signal representing a position of an antenna device of a different vehicle and/or a high building. The method also comprises a determining step, in which a position of the vehicle is determined using the position data signal. Finally, in a provision step, a position signal is provided, using the determined position of the vehicle, to a controller of the vehicle in order to control the vehicle.

Abstract: A method for detecting a decreasing performance of at least one sensor is described, in particular in a vehicle, wherein a setpoint trajectory of the vehicle is calculated, the setpoint trajectory is driven by the vehicle or is simulated by an artificial intelligence, the actual trajectory driven by the vehicle or the simulated trajectory is compared with the setpoint trajectory, a performance of the at least one sensor is tested by the control unit if a deviation of the actual trajectory or the simulated trajectory from the setpoint trajectory is determined, in which test each sensor of the vehicle is alternately deactivated and with the aid of at least one alternative sensor the setpoint trajectory is driven by the vehicle or is simulated by an artificial intelligence. Furthermore, a control unit, a computer program and a machine-readable storage medium are described.