Abstract: Preferably, after a displaying of the ambient object, a renewed detection of the occupant's current viewing direction is temporarily deactivated or can be deactivated (also for a limited time or permanently switchable). This allows the occupant to view and evaluate the displayed augmented reality information in detail. Deactivation can also be performed, for example, by a digital or analog switching element, via gesture or voice control, and depending on the situation (examples of corresponding situation-dependent parameters are listed above) for a certain time. On the other hand, however, a call-up control of the display can also be achieved via the deactivation function. A displaying of the enlarged and/or magnified surrounding object takes place accordingly always only if the function was activated accordingly before. In this respect, a time-limited or general activation of the expanded and/or magnified display of environment objects can also be performed.

Abstract: The embodiment relates to a method for predicting a charging power demand for electric vehicles (202). In the method, movement data (204) describing current and/or expected movements of the electric vehicles (202) and energy demand data (205) on planned and/or expected required charges of electric energy for one electric vehicle (202) at a time are recorded in a data cloud (201). The movement data (204) and the energy demand data (205) are used to determine an anticipated spatial and temporal distribution of a charging power demand for supplying the electric vehicles (202) with electrical energy.

Abstract: The invention relates to a method for exchanging data between a navigation device and a data cloud regarding a route (300). The method includes the steps of: storing the route (300) in the data cloud and in the navigation device, assigning a route identifier for the route (300) in the data cloud, transferring the route identifier from the data cloud to the navigation device, and transmitting additional data between the navigation device and the data cloud, each of which is related to a route segment (305) of the route (300) and is transmitted together with the route identifier.

Abstract: The invention relates to a method for detecting an object (303, 304) in the vicinity of a road user. The method recognizes objects (303, 304) detected by the sensor unit (101) with the object recognition unit (102) of a device (100), stores detected objects (303, 304) in an object list with the memory unit (103), transfers the object list with the transfer unit (104) to a data cloud (306), determines a position of the first road user, transmits the position of the first road user to the data cloud (306), identifies an object (303, 304) near the first traffic participant in the data cloud (306) using the object list, transmits a position and an object type of the identified object (303, 304) from the data cloud (306) to a mobile device of the first road user and displays the object (303, 304) and its position on the mobile device of the first road user.

Abstract: The invention relates to a method for classifying V2X messages and to a vehicle arranged to receive V2X messages and using the method to classify the received V2X messages. A method according to the invention for processing a message in a vehicle (100) comprises the steps of: receiving a signal (920) containing the message by means of a first antenna (111) and a second antenna (112); determining a relevance of the message (930) on the basis of signal characteristics and on the basis of navigation information of the vehicle (100); and processing the message with a ranking (940) corresponding to the determined relevance, wherein an attenuation map (300) assigns attenuation values to the vehicle environment on the basis of static objects (210) and dynamic objects (220) section by section. A vehicle according to the invention is arranged to use the relevance-based method for processing a message.

Abstract: A method for predicting the availability of a charging station for a vehicle with a driver assistance system is provided. The method includes establishing an expected time of arrival of the vehicle at the charging station LS, and determining an expected availability of the charging station at the time of arrival, wherein at least one user feedback about the correctness of a prediction of the availability of the charging station in the past is taken into account. Moreover, a driver assistance system for carrying out the method is provided.