Abstract: Various embodiments include a system for calculating an error probability of a sensor data record in vehicles, the system comprising: a sensor unit with sensors in a vehicle, the sensor unit configured to provide a sensor data record for an object in an environment of the vehicle; a central computer receiving the sensor data record from the sensor unit; and a reference database storing reference data associated with a position of the vehicle noted at when the sensor data record was generated. The central computer is programmed to refer to reference data in the calculation of an error probability of the sensor data record.

Abstract: Various embodiments include a system for determining a risk of an accident on a driving route comprising: a memory storing route risk parameters of the driving route, wherein at least one of the route risk parameters is assigned to route sections of the driving route, wherein each of the route risk parameters contains information relevant for road safety on the respective route section; and a processor in communication with the memory, programmed to determine a respective risk factor for each of the route risk parameters, wherein the respective risk factor indicates a measure of a risk of an accident on the respective assigned route section. The processor determines a total risk index of the driving route based on the respective risk factor of the respective risk parameter assigned to the respective route section, wherein the total risk index measures risk of an accident on the driving route.

Abstract: Various embodiments include a sensor data system for a vehicle, the system comprising: a sensor in the vehicle, the sensor configured to collect environment data; a communication device configured to receive second environment model data from another vehicle; and a processing unit. The processing unit is configured to: calculate a first localization position of at least one of the vehicle or an object in the environment of the vehicle; generate first environment model data based at least in part on the environment data collected, wherein the first environmental model data and the second environment model data both contain localization data; compare the first localization data with the second localization data; and from the comparison determine a correction to the first localization position.

Abstract: A system for generating at least a second trajectory for a first route section of a road comprises a first interface for receiving first data representing at least a first trajectory. The first data were recorded during travel on the first route section by at least one vehicle controlled by a human driver. The first interface is additionally configured to receive second data representing ambient conditions at the time of recording of the first trajectory, and to receive third data representing vehicle-related features present during the recording of the first trajectory. The system additionally comprises a first data processing module that performs clustering of multiple first trajectories based on associated second data and/or third data, a database for retrievably storing the results of the clustering, and a second interface for receiving a request for the transmission of a second trajectory and for corresponding transmission of the requested second trajectory.

Abstract: Various embodiments include a system for calculating an error probability of a sensor data record in vehicles, the system comprising: a sensor unit with sensors in a vehicle, the sensor unit configured to provide a sensor data record for an object in an environment of the vehicle; a central computer receiving the sensor data record from the sensor unit; and a reference database storing reference data associated with a position of the vehicle noted at when the sensor data record was generated. The central computer is programmed to refer to reference data in the calculation of an error probability of the sensor data record.

Abstract: A system for generating and/or updating a digital model of at least one sub-region of a digital map includes on the vehicle-side: a vehicle database with vehicle-side map data which image at least one sub-region of the digital map, one or more sensors for capturing vehicle surroundings data; one or more processors, which are configured to generate at least one snippet from the vehicle surroundings data; and from the snippet to determine updating data of the sub-region of the digital map if an event occurs in the form of a difference between objects in the map data and objects in the snippet; and the system having on the backend side a server database with backend-side map data of the digital model; and one or more processors, which are configured to statistically evaluate the updating data and to perform an update of the backend-side map data depending on the statistical evaluation.

Abstract: A system for generating and/or updating a digital model of at least one sub-region of a digital map includes on the vehicle-side: one or more sensors for capturing vehicle surroundings data; one or more processors, which are configured to determine updating data of the sub-region of the digital map if an event occurs in the form of a difference between objects in the map data and objects in the surroundings data; a transceiver which is configured to receive a message with a seed for a random number from a backend device; the processors generate a random number based on the seed; the transceiver forwards the updating data with the event and its associated spatial position to the backend device if the vehicle-side database is in a default mode in relation to the spatial position of the event or if the random number exceeds a certain value.

Abstract: Various embodiments include a system for determining a risk of an accident on a driving route comprising: a memory storing route risk parameters of the driving route, wherein at least one of the route risk parameters is assigned to route sections of the driving route, wherein each of the route risk parameters contains information relevant for road safety on the respective route section; and a processor in communication with the memory, programmed to determine a respective risk factor for each of the route risk parameters, wherein the respective risk factor indicates a measure of a risk of an accident on the respective assigned route section. The processor determines a total risk index of the driving route based on the respective risk factor of the respective risk parameter assigned to the respective route section, wherein the total risk index measures risk of an accident on the driving route.

Abstract: Various embodiments include a sensor data system for a vehicle, the system comprising: a sensor in the vehicle, the sensor configured to collect environment data; a communication device configured to receive second environment model data from another vehicle; and a processing unit. The processing unit is configured to: calculate a first localization position of at least one of the vehicle or an object in the environment of the vehicle; generate first environment model data based at least in part on the environment data collected, wherein the first environmental model data and the second environment model data both contain localization data; compare the first localization data with the second localization data; and from the comparison determine a correction to the first localization position.

Abstract: A system for generating at least a second trajectory for a first route section of a road comprises a first interface for receiving first data representing at least a first trajectory. The first data were recorded during travel on the first route section by at least one vehicle controlled by a human driver. The first interface is additionally configured to receive second data representing ambient conditions at the time of recording of the first trajectory, and to receive third data representing vehicle-related features present during the recording of the first trajectory. The system additionally comprises a first data processing module that performs clustering of multiple first trajectories based on associated second data and/or third data, a database for retrievably storing the results of the clustering, and a second interface for receiving a request for the transmission of a second trajectory and for corresponding transmission of the requested second trajectory.