Abstract: A method for predicting a construction-related driving-route change of a driving route for a vehicle includes at least a step of reading in and a step of detecting. In the step of reading in, at least one image signal is read in, which represents an image, recorded by the vehicle, of a construction-site parameter in the environment of the driving route. In the step of detecting, the impending driving-route change is detected using the image signal.

Abstract: A method for operating a more highly automated vehicle (HAF), in particular a highly automated vehicle, including: S1—providing a digital map or a highly accurate digital map, in a driver-assistance-system of the HAF; S2—determining a current vehicle position and locating the vehicle position in the digital map; S3—providing at least one expected feature property of at least one feature in a surroundings of the HAF; S4—detecting at least one actual feature property of a feature in the surroundings of the HAF at least partially on the basis of the expected feature property; S5—comparing the actual feature property with the expected feature property and ascertaining at least one differential value; S6—checking the plausibility of the actual feature property at least partially on the basis of the differential value. Also described is a corresponding system and a computer program.

Abstract: A method for operating a more highly automated vehicle (HAF), in particular a highly automated vehicle, including: S1—providing a digital map, which may be a highly accurate digital map, in a driver assistance system of the HAF; S2—providing at least one reference measuring point that is geodetically measuring in a highly accurate manner, positional data of the reference measuring point being stored in the digital map; S3—determining a current reference vehicle position by using the reference measuring point; S4—determining a current satellite vehicle position by using a global satellite navigation system (GNSS); and S5—comparing the reference vehicle position with the satellite vehicle position and ascertaining a GNSS error as a result of the comparison. Also described is a corresponding system and a computer program.

Abstract: A method for operating a higher-level automated vehicle (HAV), in particular a highly automated vehicle, is provided, including: S1 for providing a digital map, which may be a highly accurate digital map, in a driver assistance system of the HAV; S2 for determining an instantaneous vehicle position and localizing the vehicle position in the digital map; S3 for providing an expected setpoint traffic density at the vehicle position; S4 for ascertaining an instantaneous actual traffic density in the surroundings of the HAV; S5 for comparing the actual traffic density to the setpoint traffic density and ascertaining a difference value as the result of the comparison; S6 for checking the vehicle position of the HAV for plausibility at least partially based on the difference value and/or S7 for updating the digital map at least partially based on the difference value. Also described are a corresponding driver assistance system and a computer program.

Abstract: A method is described for verifying a digital map of a higher-level automated vehicle (HAV), in particular a highly automated vehicle, including the steps: S1 providing a digital map, preferably a highly accurate digital map: S2 determining an instantaneous reference position and localizing the reference position in the digital map; S3 establishing at least one actual feature property of a feature in the surroundings of the reference position, the establishment being carried out with the aid of at least one information source; S4 comparing the actual feature property to a setpoint feature property of the feature and ascertaining at least one difference value as the result of the comparison. A corresponding device and a computer program are also described.

Abstract: In a method for operating a vehicle, a planning map and a localization map are provided, the vehicle is localized on the localization map, a map corridor indicated in the planning map is selected based on the localization, a sensor corridor is ascertained using a sensor unit of the vehicle, and the map corridor is compared to the sensor corridor. Using a specified threshold value for a deviation between the map corridor and the sensor corridor, it is decided whether the map corridor and the sensor corridor are identical. The map corridor is utilized for operating the vehicle if the map corridor and the sensor corridor are identical, and the sensor corridor is utilized for operating the vehicle if the map corridor and the sensor corridor are not identical.

Abstract: A method and a system for controlling a driving function of a vehicle, whereby in a first operating state, the driving function is controlled by a vehicle guidance system, and in a second operating state, the driving function is controlled by a command of a driver, a transition from the first operating state to the second operating state being accomplished with the aid of an orderly handover through a preset handover procedure when it is recognized that a predetermined first condition is fulfilled, or with the aid of a handover in a fallback solution when it is recognized that a predetermined second condition is fulfilled.

Abstract: A method for verifying a digital-map of a more highly-automated-vehicle (HAV), especially of an HAV, including: S1—providing a digital-map or a highly accurate digital-map, in an HAV driver-assistance-system; S2—determining a present vehicle-position and locating the vehicle-position in the digital-map; S3—providing at least one setpoint-feature-property of at least one feature in an HAV-environment; S4—detecting at least one actual-feature-property of a feature in the HAV-environment based at least in part on the setpoint-feature-property, the detection being performed with at least one sensor; S5—comparing the actual-feature-property to the setpoint-feature-property and determining at least one difference-value based on the comparison; S6—verifying the digital-map based at least in part on the difference-value, the digital-map being classified as not up-to-date if the difference-value reaches/exceeds a specified-threshold-value of a deviation, and being classified as up-to-date if the difference-value remai

Abstract: A control unit for a vehicle for analyzing localization systems, the control unit being connectable in a data-conducting manner to at least two localization systems which are operable independently of one another for ascertaining system-specific positions, each localization system including at least one sensor, the control unit being configured to evaluate pieces of position information ascertained by the localization systems by subjecting them to a plausibility check. Also described are a related method and a sensor system.

Abstract: A method for operating a vehicle includes the following: providing a first map, a reference map and a first transformation map, the first transformation map including at least one location-dependent first transformation of poses of the first map onto corresponding poses of the reference map; ascertaining a first pose of the vehicle in relation to the first map; and transforming the first pose onto the reference map with the aid of a first transformation.

Abstract: A surroundings detection system for motor vehicles, including multiple sensors which are sensitive to electromagnetic radiation in different ranges of the electromagnetic spectrum, and including associated evaluation modules for locating and/or classifying objects present in the surroundings based on the data supplied by the sensors, including a model module in which a surroundings model is stored which, in addition to the 3D position data of the objects, also contains data about the spectral reflection properties of surfaces of the objects, the model module being capable of providing these data to the evaluation modules.

Abstract: A method and a corresponding system for localizing a vehicle using a digital map are described. In accordance with the method, the digital map assigns to the features one or a plurality of predetermined attributes, which are provided for characterizing possibly occurring actual changes in the features in comparison to the digital map existing at the moment. On the basis of the assigned attributes, probabilities relative to the changes are also determined, and the vehicle is localized in consideration of the determined probabilities.

Abstract: A method and a device for localizing a vehicle in its surroundings, the vehicle having surround sensors, which at first times detect views of the surroundings using the surround sensors as sensor views and supply these to an evaluation unit, and having a communication interface, via which at second times current surroundings data regarding the current surroundings of the vehicle are transmitted to the evaluation unit, and the localization of the vehicle occurs in that in the evaluation unit the surroundings data, which were detected by the surround sensors at first times, and the temporally corresponding surrounding data, which were transmitted via the communication interface, are superimposed on one another.

Abstract: A method, a processing unit which carries out the method, and a system including the processing unit for updating a digital map for locating motor vehicles are provided. In the case of the method for updating a digital map for locating motor vehicles, surroundings information is detected by a vehicle for the purpose of updating the digital map and the detected surroundings information is compared to the surroundings information which is stored on the digital map. In this case, the vehicle is located on the digital map, which means that the location or position of the vehicle on the digital map is known. For the purpose of detecting the surroundings information, the vehicle is navigated along a first route, whose most recently carried out comparison of surroundings information dates back the longest as compared to at least one further optional route.

Abstract: A method and device for determining a spatial position of a mobile unit, the spatial position being determined within a predefined orientation system, as a function of a predetermined number of parameters; a sufficiently known spatial position of the mobile unit being determined, using a subset of the predetermined number of parameters, as a function of operating state values, which represent the operating state of the mobile unit, and/or of surrounding-area values, which represent the surrounding area of the mobile unit.

Abstract: A method and device for determining a first highly precise position of a vehicle. The method includes acquiring surrounding-area data values using at least one radar sensor of the vehicle, the surrounding-area data values representing a surrounding area of the vehicle; and determining a rough position of the vehicle as a function of the acquired surrounding area data values. In addition, the method includes determining surrounding-area feature data values as a function of the determined rough position of the vehicle, the surrounding-area feature data values representing at least one surrounding-area feature and a second highly precise position of the at least one surrounding-area feature; and determining the first highly precise position of the vehicle as a function of the at least one surrounding-area feature, according to predefined localization criteria, the first highly precise position of the vehicle being more precise than the rough position of the vehicle.

Abstract: A method for predicting a construction-related driving-route change of a driving route for a vehicle includes at least a step of reading in and a step of detecting. In the step of reading in, at least one image signal is read in, which represents an image, recorded by the vehicle, of a construction-site parameter in the environment of the driving route. In the step of detecting, the impending driving-route change is detected using the image signal.

Abstract: A method and a device for evaluating the contents of a map, the map containing at least one first driving environment feature, including a step of recording at least one second driving environment feature by at least one sensor of at least one vehicle, a step of comparing the at least one first driving environment feature contained in the map to the at least one second, recorded driving environment feature, and a step of evaluating the contents of the map as a function of the performed comparison.

Abstract: A method and device for determining a spatial position of a mobile unit, the spatial position being determined within a predefined orientation system, as a function of a predetermined number of parameters; a sufficiently known spatial position of the mobile unit being determined, using a subset of the predetermined number of parameters, as a function of operating state values, which represent the operating state of the mobile unit, and/or of surrounding-area values, which represent the surrounding area of the mobile unit.

Abstract: A method for operating a vehicle, including receiving a model of a real object and a position of the object via a communication network, ascertaining one or more object parameters based on the model received, and at least semi-autonomous guidance of the vehicle based on the one or more object parameters and the position. A corresponding apparatus, a method and an apparatus for providing driving-environment information, as well as a vehicle and a computer program, as also described.