Abstract: A method for generating a localization map for operating an automated and/or assisting vehicle system of a vehicle. Fleet data are collected by traversing a traffic route portion with fleet vehicles. The localization map is generated from the collected fleet data. A unique combination of features is ascertained from the collected fleet data. Based on a result of a comparison of the unique combination of features with fleet data for each individual traversal of the traffic route portion or with a modeling of a sensor detection range of a non-fleet vehicle along the traffic route portion, it is ascertained whether the unique combination of features can be detected by a surrounding area sensor system of the fleet vehicles or the vehicle. The unique combination of features is stored in the preliminary localization map if the unique combination of features can be detected by the surrounding area sensor system.

Abstract: A method and a device for the partially automated creation of contents for a digital map. The method includes: reading in the digital map; receiving data values of the surroundings which represent the surroundings of at least one vehicle; automatically generating first map contents from the received data values of the surroundings; checking the first map contents; confirming or adjusting the first map contents; automatically calculating second, secured map contents with the aid of the checked and confirmed or adjusted first map contents using secured algorithms; inserting the second, secured map contents into the digital map; and providing the digital map.

Abstract: A method and device for creating a digital map. The method includes: receiving surrounding region data value sets from a plurality of vehicles, wherein each surrounding region data value set was detected by means of a surrounding region sensor system of the particular vehicle and represents static and dynamic objects in a surrounding region of the vehicle; determining first map features from the surrounding region data value sets, each first map feature representing a description of one of the static objects; determining second map features, wherein a movement behavior of at least a subset of the dynamic objects is determined, and correlated with the first map features, wherein, the second map features are derived from the movement behavior correlated with the first map features; verifying the previously determined second map features; creating the digital map depending on the first and verified second map features; and providing the digital map.

Abstract: A computer-implemented method for correction of digital maps, in particular for vehicle navigation. The method includes: using existing sensor data, i.e., from vehicles, which were acquired using an acquisition unit, creating a digital map by combining the sensor data with existing map data; iteratively training a machine AI model based on the initial digital map and the sensor data; applying the trained AI model to identify deviations between the digital map and the actual conditions of the environment of at least one vehicle; suggesting corrections of the identified deviations in the digital map based on the results of the machine AI model and displaying these suggestions for review by a human user and/or the trained AI model; wherein the correction of the digital map is carried out by a manual check by the user, and/or the correction of the digital map is carried out automatically using the AI model.

Abstract: A method for creating a map. In the method, first, sensor data from a predetermined number of passes through a portion of a space are read in. Next, features in the sensor data are identified, wherein the features are identified separated onto multiple spatial regions of the portion of the space. The features are also assigned to a sensor position. Then, accuracy values for the features are ascertained, and each spatial region is assigned an accuracy value. Lastly, the map including the features related to sensor positions and the accuracy values of the spatial regions is generated.

Abstract: A method for training a classifier for map verification. A plurality of surroundings data sets, each of which represents respective surroundings of motor vehicles during respective trips of the motor vehicles through the same geographic region, are used to create a digital map of the geographic region, wherein in particular information or data resulting from the mapping pipeline are used to train the classifier or for map verification. A method for map verification, a device, a computer program, and a machine-readable storage medium are also described.

Abstract: An indirect calibration method for an electromagnetic induction method for determining physical parameters of an electrically conductive medium from a ratio (HS/HP) of a magnetic secondary field (HS), received in a receiving coil, to a magnetic primary field (HP) emitted from a transmitting coil electrically connected to a transmission signal generator, in which as measurement for the ratio (HS/HP) a received voltage (URx) is measured at an output of a receive amplifier electrically connected to the receiving coil, which is calibrated by series connection of at least one calibration coil and of a changeable calibration resistor and of a calibration factor (HCx/HP) which is adjustable therethrough, the receiving coil being permanently inductively coupled with the calibration coil, a calibration pulse, generated in the calibration coil, inducing a calibration field (HCx), inducing a magnetic flux in the receiving coil, areas and winding numbers of the receiving and calibration coils being known.

Abstract: A method and device for creating a second digital map. The method includes: evaluating processes previously used to create map data, the map data representing a first digital map, the processes for creating the map data using first surrounding region data value sets, the first surrounding region data value sets each representing a first surrounding region of first vehicles; determining parameters based on the previously evaluated processes depending on the used first surrounding region data value sets, the parameters representing a qualitative contribution of the respective first surrounding region data value sets to the creation of the map data; generating and providing a signal for requesting second surrounding region data value sets that meet predetermined criteria depending on the parameters, the second surrounding region data value sets each representing a second surrounding region of second vehicles; receiving the second surrounding region data value sets; creating the second digital map.

Abstract: A method is disclosed for determining an integrity range of a parameter estimation for localization of a vehicle on the basis of obtained sensor data for localization according to surroundings features, wherein the integrity range describes the range in which an estimated parameter is located with a minimum probability. The method includes (i) determining a base integrity information item, (ii) determining at least one additional integrity information item, and (iii) determining the integrity range using the base integrity information item and the at least one first additional integrity information item.

Abstract: A method and apparatus for providing an optimization function for operating an environmental sensor system. The method includes: receiving a plurality of environmental data value sets, wherein each environmental data value set was sensed using sensors of a vehicle, wherein each environmental data value set represents an environment of the vehicle, and each environmental data value set includes at least one time point and/or one item of position information of the sensing of the corresponding environment; creating a digital map according to the environmental data value sets, wherein the creating includes multiple sub-steps, and at least some sub-steps include monitoring algorithms which each generate a quality indicator of the sub-step carried out accordingly; aggregating the quality indicators and determining the optimization function according to the aggregated quality indicators; and providing the optimization function for operating an environmental sensor system.

Abstract: A computer-implemented method for verifying and approving a map extension for a digital map for use in a movable device, in particular in a vehicle or a robot. The digital map includes at least one connection region. The map extension includes at least one extension region and one overlap region. The overlap region describes an at least partially identical environmental region as the connection region of the digital map.

Abstract: A method for generating a feature-based localization map for a global navigation satellite system (GNSS)-based localization and/or a feature-based localization includes generating feature information for the feature-based localization map using at least one GNSS information, generating GNSS-related meta-information that allows inferences to be drawn about a GNSS situation on which the generation of the feature information was based, and assigning the generated GNSS-related meta-information to the generated feature information.

Abstract: A method for generating a localization map for operating an automated and/or assisting vehicle system of a vehicle. Fleet data are collected by traversing a traffic route portion with fleet vehicles. The localization map is generated from the collected fleet data. A unique combination of features is ascertained from the collected fleet data. Based on a result of a comparison of the unique combination of features with fleet data for each individual traversal of the traffic route portion or with a modeling of a sensor detection range of a non-fleet vehicle along the traffic route portion, it is ascertained whether the unique combination of features can be detected by a surrounding area sensor system of the fleet vehicles or the vehicle. The unique combination of features is stored in the preliminary localization map if the unique combination of features can be detected by the surrounding area sensor system.

Abstract: A method for operating a surroundings acquisition device of a vehicle. An evaluation unit of the vehicle receives an external acquisition request that contains at least one request assignment in which a request enable signal is assigned to a specific region of a map and a specific time-of-day interval, wherein the evaluation unit uses the map to ascertain whether the vehicle is in the specific region during the time-of-day interval, and wherein the surroundings acquisition device is activated by means of the evaluation unit using the request enable signal when the vehicle is in the specific region during the time-of-day interval.

Abstract: A method for predicting changes in a static environment of an automated vehicle with respect to a digital map. The digital map includes at least information about a road layout and static objects in the environment of the automated vehicle, comprises the following method steps. Deviations in the environment of the automated vehicle with respect to the digital map are identified on the basis of sensor data from at least one sensor and/or at least one database, and the identified deviations are quantified by ascertaining at least one change indicator. At least one probability of future changes in the environment of the automated vehicle with respect to the digital map is ascertained on the basis of the identified and quantified deviations.

Abstract: A method and a device for creating a digital map. Map data values representing a base map are retrieved, wherein the base map includes information on traffic routes with one or more lanes and surroundings features, wherein this information represents at least one configuration of the lanes, wherein the surroundings features represent geographical objects, which can be detected by means of a surroundings sensor system of a vehicle. Areas that make automated driving possible depending on the configuration of the lanes and depending on the surroundings features are determined. A method for operating an automated vehicle is also described, in which a driving strategy is determined depending on the current position on the basis of a digital map, wherein the driving strategy includes a trajectory to an area that makes automated driving possible, wherein the automated vehicle is operated depending on the driving strategy.

Abstract: A method for processing data by means of hardware secured according to specified security criteria. The method includes the following steps. First, the data are read in. Diverse data records are then generated from the data. The diverse data records are then sent to various computers that are not secured according to specified security criteria. The computers can then engage in processing of the data records, for example to process map data. The processed data records are then read in again. The processed data records are then compared using a similarity assessment, and a final result of the processing of the data is determined based on the comparison of the processed data records. The final result is then output.

Abstract: An indirect calibration method for an electromagnetic induction method for determining physical parameters of an electrically conductive medium from a ratio (HS/HP) of a magnetic secondary field (HS), received in a receiving coil, to a magnetic primary field (HP) emitted from a transmitting coil electrically connected to a transmission signal generator, in which as measurement for the ratio (HS/HP) a received voltage (URx) is measured at an output of a receive amplifier electrically connected to the receiving coil, which is calibrated by series connection of at least one calibration coil and of a changeable calibration resistor and of a calibration factor (HCx/HP) which is adjustable therethrough, the receiving coil being permanently inductively coupled with the calibration coil, a calibration pulse, generated in the calibration coil, inducing a calibration field (HCx), inducing a magnetic flux in the receiving coil, areas and winding numbers of the receiving and calibration coils being known.

Abstract: A method and a first apparatus for determining a highly accurate position of a vehicle. In the method, several localization methods for determining an initial position are performed, wherein each localization method is designed to determine a position of the vehicle with a particular uncertainty, depending on the respective localization method. A comparison of the respectively determined positions with their uncertainties is performed and the initial position is determined depending thereon. Starting from the initial position, a map is subsequently provided, which at least partially represents an environment of the vehicle. Environmental data values are sensed by means of an environmental sensor system of the vehicle. The highly accurate position of the vehicle is determined by a comparison of the sensed environmental data values to the map.

Abstract: A method for forming a localization layer for a digital localization map for automated driving. The method includes: providing the localization layer for a defined region; providing a planning layer for the region; and extracting alignment features from the localization layer that is provided for an alignment with the planning layer, the alignment features being extracted in such a way from the localization layer that an inadmissible deformation of the localization layer may be recognized during the alignment of the planning layer with the localization layer.