Abstract: The present disclosure relates to a method, to a computer program comprising instructions, and to a device for environment sensing in a vehicle. For the environment sensing, environment data are recorded by means of at least one vehicle sensor. A prediction is calculated by means of a trained machine learning model based on the recorded environment data, wherein the prediction includes a measure of uncertainty for the prediction. Equally, a deviation value is determined for the recorded environment data that provides a measure of how significantly the recorded environment data deviate from training data for the machine learning model. At least one conformity score is determined based on the measure of uncertainty and the deviation value and then a prediction set is determined based on the at least one determined conformity score. Then, a control signal is generated depending on the determined prediction set.

Abstract: A method for setting up a virtual ad hoc network for transmitting at least one piece of information to a first transportation vehicle as a first network subscriber. The method includes the information being provided based on first data from at least one second network subscriber; and at least one second network subscriber being a second transportation vehicle or an infrastructure component; wherein a motor-vehicle-external, central data processing device receives second data from multiple potential second network subscribers and takes the second data and at least one space-time parameter as a basis for determining the second network subscribers and setting up the virtual ad hoc network with the first transportation vehicle, as the first network subscriber, and the determined second network subscribers, the space-time parameter defining a specific area of relevance that has a predetermined physical and temporal correlation with the current position of the first transportation vehicle.

Abstract: A method for setting up a virtual ad hoc network for transmitting at least one piece of information to a first transportation vehicle as a first network subscriber. The method includes the information being provided based on first data from at least one second network subscriber, and at least one second network subscriber being a second transportation vehicle or an infrastructure component; wherein a motor-vehicle-external, central data processing device receives second data from multiple potential second network subscribers and takes the second data and at least one space-time parameter as a basis for determining the second network subscribers and setting up the virtual ad hoc network with the first transportation vehicle, as the first network subscriber, and the determined second network subscribers, the space-time parameter defining a specific area of relevance that has a predetermined physical and temporal correlation with the current position of the first transportation vehicle.

Abstract: The present disclosure relates to a method, to a computer program comprising instructions, and to a device for environment sensing in a vehicle. For the environment sensing, environment data are recorded by means of at least one vehicle sensor. A prediction is calculated by means of a trained machine learning model based on the recorded environment data, wherein the prediction includes a measure of uncertainty for the prediction. Equally, a deviation value is determined for the recorded environment data that provides a measure of how significantly the recorded environment data deviate from training data for the machine learning model. At least one conformity score is determined based on the measure of uncertainty and the deviation value and then a prediction set is determined based on the at least one determined conformity score. Then, a control signal is generated depending on the determined prediction set.

Abstract: Assisting a driver in a vehicle, wherein the vehicle has an environment sensor system for acquiring environment data of an environment surrounding the vehicle and a controller for determining a current traffic status from the acquired environment data. A current overtaking maneuver status is determined, wherein each overtaking maneuver status includes one of a plurality of successive situations during an overtaking maneuver, making available at least one assistance information item on the basis of the determined current traffic status, wherein the assistance information is made available in accordance with the determined current overtaking maneuver status, and outputting the assistance information which is made available.

Abstract: A method for warning a driver of a motor vehicle and to a control device for a motor vehicle are disclosed. The method comprises: steps: receiving, using the vehicle, position data of a first object from a communication device external to the vehicle; detecting a vehicle environment by a detection device of the motor vehicle and detecting an own position of the motor vehicle. In addition, determining if the detection device detects a second object hiding the first object in a field of view between the motor vehicle and the first object, and determining if in a potentially critical situation for the motor vehicle results from the first object. If it is recognized that the first object is hidden and that the potentially critical situation for the motor vehicle results from the first object, a specified warning cascade is initiated.

Abstract: A method for warning a driver of a motor vehicle and to a control device for a motor vehicle are disclosed. The method comprises: steps: receiving, using the vehicle, position data of a first object from a communication device external to the vehicle; detecting a vehicle environment by a detection device of the motor vehicle and detecting an own position of the motor vehicle. In addition, determining if the detection device detects a second object hiding the first object in a field of view between the motor vehicle and the first object, and determining if in a potentially critical situation for the motor vehicle results from the first object. If it is recognized that the first object is hidden and that the potentially critical situation for the motor vehicle results from the first object, a specified warning cascade is initiated.

Abstract: Assisting a driver in a vehicle, wherein the vehicle has an environment sensor system for acquiring environment data of an environment surrounding the vehicle and a controller for determining a current traffic status from the acquired environment data. A current overtaking maneuver status is determined, wherein each overtaking maneuver status includes one of a plurality of successive situations during an overtaking maneuver, making available at least one assistance information item on the basis of the determined current traffic status, wherein the assistance information is made available in accordance with the determined current overtaking maneuver status, and outputting the assistance information which is made available.

Abstract: The invention describes a negative-pressure tank having a partition, the partition including at least two walls, and the negative-pressure tank including at least two chambers, and a free space being present in the partition in which an ambient pressure prevails. The invention further describes a sorption machine having a negative-pressure tank.

Abstract: The invention describes a negative-pressure tank having a partition, the partition including at least two walls, and the negative-pressure tank including at least two chambers, and a free space being present in the partition in which an ambient pressure prevails. The invention further describes a sorption machine having a negative-pressure tank.