Abstract: A method for creating a radar localization map. The method includes: a) sensing a defined region using a surround-field sensor of a mapping vehicle; b) providing photographic satellite data of the defined region with the aid of a satellite, c) determining matching detected objects of the region in the surround-field sensor data and in the photographic satellite data; d) generating a transfer model from the matching detected objects, the photographic satellite data being transferable reciprocally into the surround-field sensor data utilizing the transfer model; and e) creating the radar localization map by use of the transfer model using photographic satellite data, the photographic satellite data being converted into corresponding data of the radar localization map.

Abstract: A method is described for the certification by a control unit of map elements for safety-critical driving functions. At least one observation variable of at least one mapping step of at least one map element is ascertained after an implementation of the mapping step via a monitoring function and is compared with a setpoint value of the observation variable. At least one result value is calculated based on a comparison of the observation variable with the setpoint value of the observation variable for the at least one mapping step via the monitoring function. The at least one result value is stored as a certificate and is linked to the at least one map element. A control unit, a computer program and a machine-readable memory medium are also described.

Abstract: A method and a system for mapping a surroundings of at least one vehicle and for locating the at least one vehicle. Measurement data of the vehicle's surroundings are ascertained by at least one radar sensor of the at least one vehicle, the measurement data of the at least one radar sensor being aggregated. The aggregated measurement data are compared with already existing aggregated measurement data. The aggregated measurement data are optimized by reducing measurement errors based on the comparison between the aggregated measurement data and the already existing aggregated measurement data. A map is generated or updated on the basis of the optimized aggregated measurement data, and the at least one vehicle being located on the generated or updated map by comparing the ascertained measurement data with the generated map.

Abstract: A method for mapping a route section. The method includes providing a central mapping server equipped with a server-side communication interface; providing at least one fleet vehicle of a vehicle fleet equipped with at least one sensor which is suitable for detecting mapping data, and with a vehicle-side communication interface, the server-side communication interface and the vehicle-side communication interface being configured to exchange data; making a mapping decision by decision-making logic implemented on the mapping server, and transmitting an individual mapping request which is based on the mapping decision to the at least one fleet vehicle, it being possible for the mapping request to include different pieces of information for individual fleet vehicles; and transmitting mapping data from the at least one fleet vehicle to the mapping server as a function of the individual mapping request and the use of the mapping data during the mapping of the route section.

Abstract: A method for creating a feature-based localization map for a vehicle, including the steps: ascertaining data of at least one object in the surroundings of the vehicle; identifying characteristic structures of the at least one object; combining the characteristic structures to form a simplification structure of the object; and incorporating the simplification structure into the feature-based localization map.

Abstract: A method for creating a first map. The method includes providing a second map, the second map including at least one predefined path; receiving map data, the map data representing at least one trajectory and at least one further object; and creating the first map starting from the map data, an alignment based on a superimposition of the at least one predefined path and the at least one trajectory being carried out, and subsequently a displacement of the at least one further object being carried out starting from the alignment. A device for carrying out the method for creating a first map is also described.

Abstract: A method for validating an up-to-dateness of a digital map by a control unit, the at least one digital map being received or retrieved. Measured data on the surroundings of the vehicle are received. A vehicle position within the at least one digital map is ascertained based on landmarks. Data of a driving assistance function are received. A comparison is carried out between the vehicle position within the at least one digital map and the data of the driving assistance function for validating the up-to-dateness of the at least one digital map. A transfer system, a control unit, a computer program as well as a machine-readable memory medium are also described.

Abstract: A method for creating a digital map for an automated vehicle, including identifying a first vehicle by a second vehicle or the second vehicle by the first vehicle, the first vehicle and/or the second vehicle being identified as data-detecting members of a creation process of the digital map; ascertaining a distance of the first vehicle from the second vehicle and/or a distance of the second vehicle from the first vehicle; and transmitting defined data of the vehicles and the distance between the vehicles to a creation unit for creating the digital map.

Abstract: A method for detecting illegally parked vehicles includes obtaining information, in the form of a digital parking map, about available parking areas and areas that are unavailable for parking, where the information about areas unavailable for parking includes coordinates, in particular GPS coordinates, and expected lengths of the areas. The length of an area that is unavailable for parking is detected by a parking space searching vehicle and an illegally parked vehicle is detected if the detected length deviates from an expected length.

Abstract: A method is described for the certification by a control unit of map elements for safety-critical driving functions. At least one observation variable of at least one mapping step of at least one map element is ascertained after an implementation of the mapping step via a monitoring function and is compared with a setpoint value of the observation variable. At least one result value is calculated based on a comparison of the observation variable with the setpoint value of the observation variable for the at least one mapping step via the monitoring function. The at least one result value is stored as a certificate and is linked to the at least one map element. A control unit, a computer program and a machine-readable memory medium are also described.

Abstract: A method and device for generating a highly precise map, including a step of receiving surrounding-area data values, which represent a surrounding area of a vehicle, the surrounding area encompassing at least one static surrounding-area feature and at least one mobile surrounding-area feature; including a step of receiving movement data values, which represent a movement of the at least one mobile surrounding-area feature in the surrounding area of the vehicle; including a step of generating a highly precise map on the basis of the surrounding-area data values, using the at least one static surrounding-area feature, and excluding the at least one mobile surrounding-area feature, the exclusion occurring as a function of the movement; and including a step of providing the highly precise map.

Abstract: A method and a corresponding device are described for creating a first map. The method includes receiving surroundings data values representing surroundings of a vehicle, the surroundings encompassing at least one surroundings feature, the surroundings data values being detected using a first surroundings sensor system of the vehicle. The method also includes determining an object class of the surroundings feature, as a function of the first surroundings sensor system of the vehicle, and creating an assignment of the object class to at least one further object class. The further object class is determined proceeding from at least one further surroundings feature, the further surroundings feature being detectable with using a second surroundings sensor system. The second surroundings sensor system is not identical in design to the first surroundings sensor system. The method also includes creating the first map, as a function of the surroundings data values, based on the assignment.

Abstract: A method for creating a radar localization map. The method includes: a) sensing a defined region using a surround-field sensor of a mapping vehicle; b) providing photographic satellite data of the defined region with the aid of a satellite, c) determining matching detected objects of the region in the surround-field sensor data and in the photographic satellite data; d) generating a transfer model from the matching detected objects, the photographic satellite data being transferable reciprocally into the surround-field sensor data utilizing the transfer model; and e) creating the radar localization map by use of the transfer model using photographic satellite data, the photographic satellite data being converted into corresponding data of the radar localization map.

Abstract: A method for creating a feature-based localization map for a vehicle, including the steps: ascertaining data of at least one object in the surroundings of the vehicle; identifying characteristic structures of the at least one object; combining the characteristic structures to form a simplification structure of the object; and incorporating the simplification structure into the feature-based localization map.

Abstract: A method for mapping a route section. The method includes providing a central mapping server equipped with a server-side communication interface; providing at least one fleet vehicle of a vehicle fleet equipped with at least one sensor which is suitable for detecting mapping data, and with a vehicle-side communication interface, the server-side communication interface and the vehicle-side communication interface being configured to exchange data; making a mapping decision by decision-making logic implemented on the mapping server, and transmitting an individual mapping request which is based on the mapping decision to the at least one fleet vehicle, it being possible for the mapping request to include different pieces of information for individual fleet vehicles; and transmitting mapping data from the at least one fleet vehicle to the mapping server as a function of the individual mapping request and the use of the mapping data during the mapping of the route section.

Abstract: A method for detecting illegally parked vehicles includes obtaining information, in the form of a digital parking map, about available parking areas and areas that are unavailable for parking, where the information about areas unavailable for parking includes coordinates, in particular GPS coordinates, and expected lengths of the areas. The length of an area that is unavailable for parking is detected by a parking space searching vehicle and an illegally parked vehicle is detected if the detected length deviates from an expected length.

Abstract: A method and a system for mapping a surroundings of at least one vehicle and for locating the at least one vehicle. Measurement data of the vehicle's surroundings are ascertained by at least one radar sensor of the at least one vehicle, the measurement data of the at least one radar sensor being aggregated. The aggregated measurement data are compared with already existing aggregated measurement data. The aggregated measurement data are optimized by reducing measurement errors based on the comparison between the aggregated measurement data and the already existing aggregated measurement data. A map is generated or updated on the basis of the optimized aggregated measurement data, and the at least one vehicle being located on the generated or updated map by comparing the ascertained measurement data with the generated map.

Abstract: A method for classifying a parking spot identified with the aid of a distance-based detection process for validity, including the following: comparing a position of the identified parking spot to a digital parking facility map which includes positions of valid and invalid parking areas; and classifying the identified parking spot as a valid or an invalid parking spot as a function of the comparison. Also described are a corresponding device, a corresponding parking guidance system, a corresponding motor vehicle, and a computer program.

Abstract: In a method and a device for preparing and providing a highly accurate map, steps are performed which include receiving first surroundings data values that represent first surroundings of at least one vehicle and that are detected using a surroundings sensor system of the at least one vehicle; receiving second surroundings data values that represent second surroundings of at least one traffic infrastructure area and that are detected using at least one traffic infrastructure sensor; generating the highly accurate map based on the first and second surroundings data values, and outputting the highly accurate map.

Abstract: A method for detecting a parking area on at least one road section includes providing a usable width of the road section. The usable width represents a passable width of the road section between parking vehicles. The method further includes travelling on the road section using a detector vehicle and detecting lateral distances from objects with a detector device arranged in the detector vehicle. The method also includes comparing the detected lateral distances with the usable width, and detecting the parking area based on the comparison.