Abstract: A method for operating at least one automated vehicle, including the steps: detecting road users by sensors with the aid of the at least one automated vehicle and/or with the aid of sensor systems in an infrastructure; ascertaining predicted traffic routes for the road users with the aid of a computing device based on defined criteria; transmitting control data corresponding to the predicted traffic route to the automated vehicle; and operating the automated vehicle according to the control data.

Abstract: A method for operating at least one automated vehicle, including the steps: detecting road users by sensors with the aid of the at least one automated vehicle and/or with the aid of sensor systems in an infrastructure; ascertaining predicted traffic routes for the road users with the aid of a computing device based on defined criteria; transmitting control data corresponding to the predicted traffic route to the automated vehicle; and operating the automated vehicle according to the control data.

Abstract: A method for monitoring a vehicle's surrounding region, includes reading in a distance image pertaining to the surrounding region, the distance image including distance values representing the result of a multiplicity of distance measurements, which are performed with a sensor for stereo image recording based on a method for calculating a stereo disparity map concerning the surrounding region sensed by the sensor. In a selecting, a cut-away portion from the distance image is selected, and in a detecting, an obstacle located in the surrounding region is detected using the distance values included in the cut-away portion. In an ascertaining, a number of relevant distance values is ascertained, which represent distance values included in the cut-away portion that are allocatable to the obstacle. In an ascertaining, a value of an existence measure for the existence of the obstacle is determined, based on the number and quality of relevant distance values.

Abstract: A method of maintaining a database for a plurality of vehicles includes obtaining first sensor data from a vehicle sensor and comparing the first sensor data to data in the database. If the first sensor data does not match the database data, it is determined whether data from a single vehicle sensor or from a plurality of vehicle sensors is required to update the database. The database is updated if consistent data from a required number of vehicle sensors is available. A loss of database integrity is identified if data from a plurality of vehicle sensors is required to update the database but is not available. Anomalous driving is identified if data from a plurality of vehicle sensors is required to update the database and is available, and if the first sensor data is not confirmed by data from other vehicle sensors.

Abstract: A method for assisting a driver of a motor vehicle during a driving maneuver, which includes the following: (a) detecting data regarding the surroundings of the motor vehicle, analyzing the captured data for detecting objects, and visually displaying the detected objects, (b) selecting at least one of the detected objects by the driver of the motor vehicle, (c) determining the smallest distance between the motor vehicle and the at least one selected object, (d) outputting information to the driver of the motor vehicle about the smallest distance between the at least one selected object and the motor vehicle. Further described is a device for carrying out the method.

Abstract: A method for monitoring a vehicle's surrounding region, includes reading in a distance image pertaining to the surrounding region, the distance image including distance values representing the result of a multiplicity of distance measurements, which are performed with a sensor for stereo image recording based on a method for calculating a stereo disparity map concerning the surrounding region sensed by the sensor. In a selecting, a cut-away portion from the distance image is selected, and in a detecting, an obstacle located in the surrounding region is detected using the distance values included in the cut-away portion. In an ascertaining, a number of relevant distance values is ascertained, which represent distance values included in the cut-away portion that are allocatable to the obstacle. In an ascertaining, a value of an existence measure for the existence of the obstacle is determined, based on the number and quality of relevant distance values.

Abstract: A method for assisting a driver of a motor vehicle during a driving maneuver, which includes the following: (a) detecting data regarding the surroundings of the motor vehicle, analyzing the captured data for detecting objects, and visually displaying the detected objects, (b) selecting at least one of the detected objects by the driver of the motor vehicle, (c) determining the smallest distance between the motor vehicle and the at least one selected object, (d) outputting information to the driver of the motor vehicle about the smallest distance between the at least one selected object and the motor vehicle. Further described is a device for carrying out the method.

Abstract: In a method for determining at least one trafficable area in the surroundings of a motor vehicle relevant for vehicle guidance, e.g., for ascertaining an evasion trajectory for a driver assistance system of the motor vehicle, at least one object detection sensor of the vehicle detects objects or obstacles in the surroundings of the motor vehicle, and the chronological sequence of occupancy information of the at least one object detection sensor of the motor vehicle regarding at least one detected object is taken into consideration.

Abstract: A method of maintaining a database for a plurality of vehicles includes obtaining first sensor data from a vehicle sensor and comparing the first sensor data to data in the database. If the first sensor data does not match the database data, it is determined whether data from a single vehicle sensor or from a plurality of vehicle sensors is required to update the database. The database is updated if consistent data from a required number of vehicle sensors is available. A loss of database integrity is identified if data from a plurality of vehicle sensors is required to update the database but is not available. Anomalous driving is identified if data from a plurality of vehicle sensors is required to update the database and is available, and if the first sensor data is not confirmed by data from other vehicle sensors.