Abstract: A method and a labeling system for generating a label object for the symbolic description of an object of an environment of a mobile device, e.g., a robot or a vehicle. The label object includes at least one attribute of an object at a first point in time, from observations of this object. The method includes selecting, from the observations, a first observation recorded at a first point in time, a second observation recorded at a second point in time, the second point in time being a point in time before the first point in time, as well as a third observation recorded at a third point in time, the third point in time being a point in time after the first point in time; and ascertaining, by using the selected observations, the at least one attribute of the object.

Abstract: A method and a device for the functional testing and evaluation of a control system. The method for functional testing of sensors, actuators, and/or a control logic system of a control system controlled in at least a partly automated manner has the following: sending at least one stimulus to a sensor, an actuator, and/or to the control logic system of the control system; reading out at least one reaction of the control system from the sensor, from the actuator, from the control logic system, and/or from a connection between these components; and using a metric module to compare the reaction with a stored expected reaction, the metric module determining a metric according to which deviations of the read-out reaction from the expected reaction are to be evaluated with respect to the intended function of the control system.

Abstract: A method for designing a sensor arrangement, in particular for a vehicle or a vehicle class. Dimensions of vehicles of at least one vehicle class are ascertained and geometric parameters are ascertained from the dimensions of the vehicles of the vehicle class. Predefined reference fields for sensors of vehicles of the at least one vehicle class are established based on the derived geometric parameters. Each reference field is configured to accommodate at least one sensor. A sensor arrangement is also described.

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 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 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 for operating a control device of a motor vehicle driving by automation. The method includes determining a location of the motor vehicle, and acquiring driving-environment data of the motor vehicle, a control characteristic of the control device of the motor vehicle being formed in such a way that a driving behavior of at least one other road user is influenced in defined manner.

Abstract: A method and a device are described for operating an automated vehicle including determining a coarse position of the automated vehicle, determining first environment data values as a function of the coarse position, the first environment data values representing a target environment of the automated vehicle, recording second environment data values using an environment sensor system of the automated vehicle, the second environment data values representing an actual environment of the automated vehicle, determining a highly accurate position of the automated vehicle, as a function of a comparison between the actual environment and the target environment, and operating the automated vehicle, as a function of the highly accurate position.

Abstract: A method for generating a reference representation of the surroundings of an at least semi-automated mobile platform is provided. The method includes ascertaining at least one third-party platform for receiving reference data for the reference representation of the surroundings of the mobile platform; establishing a communication channel of the mobile platform to the at least one third-party platform; receiving the reference data of the at least one third-party platform for the reference representation of the surroundings; ascertaining the received reference data that are relevant to the generation of the reference representation; storing the relevant reference data of the at least one third-party platform for the generation of the reference representation of the surroundings.

Abstract: A method for operating at least one vehicle relative to at least one passable object in a surrounding area of the at least one vehicle includes inputting map data values from a map, the map data values including the at least one passable object in the form of first object data values; recording surrounding area data values, which represent the surrounding area of the at least one vehicle and include the at least one passable object in the form of second object data values; reconciling the input map data values with the recorded surrounding area data values in accordance with predefined first comparison criteria; and operating the at least one vehicle as a function of the reconciliation of the data values.

Abstract: A method for operating a vehicle includes detecting an object state using a surroundings sensor system of the vehicle at a first point in time, detecting an object state using the surroundings sensor system at a later second point in time, and adapting an activation state of a semi-automated or fully-automated driving function of the vehicle based on the detected object states.

Abstract: A method for estimating an inherent movement of a vehicle. The method includes a step of classifying, a step of detecting, and a step of ascertaining. In the step of classifying, at least one portion of a camera image representing a classified object is classified into an object category which represents stationary objects. In the step of detecting, at least one detection point of the portion in the camera image classified into the object category is detected in the camera image by utilizing a detection algorithm. In the step of ascertaining, an estimated inherent movement of the vehicle is ascertained by utilizing the detection point.

Abstract: A method for determining a presently existing driving situation in which a vehicle finds itself at the moment. The method includes receiving of driving-environment data based on a sensed vehicle driving environment, extracting of features from the driving-environment data with the aid of pattern recognition, classifying the presently existing driving situation based exclusively on the features extracted by the pattern recognition, and providing a result of the classification. A corresponding apparatus, a corresponding system as well as a computer program, are also described.

Abstract: A method for determining the position of a vehicle, including: determination of a GNS vehicle position by a GNS unit, sensor acquisition of a surrounding environment of the GNS vehicle position by a radar sensor unit of the vehicle in order to ascertain radar data corresponding to the acquired surrounding environment, detection of objects situated in the surrounding environment based on the radar data, ascertaining of a direction vector that points from a detected object to a reference point fixed to the vehicle, comparison of the radar data and the ascertained direction vector to a digital map that has objects and direction vectors assigned to the objects, the direction vectors assigned to the objects pointing to a position in the digital map from which the corresponding object was acquired by a radar sensor unit, and ascertaining of a corrected vehicle position based on the GNS vehicle position and the comparison.

Abstract: A method and a labeling system for generating a label object for the symbolic description of an object of an environment of a mobile device, e.g., a robot or a vehicle. The label object includes at least one attribute of an object at a first point in time, from observations of this object. The method includes selecting, from the observations, a first observation recorded at a first point in time, a second observation recorded at a second point in time, the second point in time being a point in time before the first point in time, as well as a third observation recorded at a third point in time, the third point in time being a point in time after the first point in time; and ascertaining, by using the selected observations, the at least one attribute of the object.

Abstract: A method and a device for the functional testing and evaluation of a control system. The method for functional testing of sensors, actuators, and/or a control logic system of a control system controlled in at least a partly automated manner has the following: sending at least one stimulus to a sensor, an actuator, and/or to the control logic system of the control system; reading out at least one reaction of the control system from the sensor, from the actuator, from the control logic system, and/or from a connection between these components; and using a metric module to compare the reaction with a stored expected reaction, the metric module determining a metric according to which deviations of the read-out reaction from the expected reaction are to be evaluated with respect to the intended function of the control system.

Abstract: A sensor device for an automated vehicle, having at least one data interface; and an evaluation unit, in which travel route data are able to be supplied to the evaluation unit via the data interface; and an environment detection characteristic of the sensor device is controllable with the aid of the travel route data.

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 determining the position of a vehicle, including sensing of multiple objects in a surround field of the vehicle, detecting a sequence of the multiple sensed objects in a digital map and determining a position of the vehicle in the digital map based on a position of the detected sequence in the digital map. An apparatus for determining the position of a vehicle, as well as to a computer program are also described.

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 for ascertaining the danger potential of a lane change of an ego vehicle from the currently used traffic lane to an adjacent traffic lane, a detection range in the external space of the ego vehicle being monitored, and the effect of objects identified in the detection range on the danger potential is evaluated, and based on positions and speeds of internal other vehicles identified in the detection range, it is determined whether external other vehicles located outside the detection range are able to reach a target region in which the ego vehicle is located following the intended lane change. A method for the at least partially automated control of an ego vehicle, in which in the case of an intended lane change, the danger potential of this lane change is evaluated, and the lane change is prevented if external other vehicles are able to reach the target region.