fig1 shows a schematic diagram of a top view ( bird &# 39 ; s eye view ) onto a parking lot 10 . two vehicles i 2 , 14 park in the parking lot 10 . a third vehicle 16 is just being parked by a driver between the two parked vehicles i 2 , 14 . a passing vehicle 18 just drives around the parking vehicle 16 . the movement of the parking vehicle 16 is indicated by a velocity vector v 1 , the movement of the passing vehicle 18 by a motion vector v 2 . infrastructure components 20 , 22 , 24 are provided on the parking lot 10 , which can be used when parking . hereinafter , only the infrastructure component 22 is described , and the other illustrated infrastructure components 20 and 24 can be constructed in the same manner . the infrastructure component 22 may , for example , be a column fixedly connected to the ground , which may be placed at the end of a marked parking area 26 . the infrastructure component 22 may include a sensor arrangement for detecting the parking vehicle 16 , wherein the sensor arrangement may in this example include a camera 28 . the parking area 26 is filmed with the camera 28 . fig1 shows as an example a single video frame img of a video sequence that can be detected by the camera 28 . the infrastructure component 22 further includes a transmission device 30 , which may be based , for example , on wlan technology or bluetooth technology . an antenna 32 emits a radio signal that may include the video sequence with the video image img . the parking vehicle 16 may include a respective communication device 34 configured to receive the radio signal from the antenna 32 and to extract the video sequence with the video image img contained therein from the signal and display , for example , the video sequence on a screen 36 of the vehicle 16 . the driver of the vehicle 16 then sees his own vehicle from the point of view of the camera 28 and can thus maneuver the vehicle 16 more easily onto the parking area 26 . the passing vehicle 18 also has a communication device 34 ′, which may correspond to the communication device 34 of the parking vehicle 16 . a screen 36 ′ may also be provided in the vehicle 18 , on which a video sequence can be displayed by the communication device 34 , which can be received via a radio signal . in the present example , the video sequence with the video image img of the camera 28 is shown only on the screen 36 of the parking vehicle 16 , but not on the screen 36 ′. an analyzing device 38 of the infrastructure component 22 performs in the video image img and also in the other images 28 in the video sequence of the camera an object segmentation by which objects o 1 , o 2 , o 3 , o 4 recognizable , for example , in the video image img , are detected as separate components of the video image img . for the segmentation of individual objects , i . e . for their delineation in the individual sensor signals of the sensor device , generally known object recognition algorithms can be used in the context of the invention . the analyzing device 28 recognizes here that a total of four objects o 1 , o 2 , o 3 , o 4 are located in a detection area 14 of the camera 28 . the analyzing device 38 further recognizes that the object o 1 moves to the parking area 26 and therefore must be an object to which the camera image img must be transmitted by the communication device 30 . the analyzing device 38 now determines where the video signal has to be transmitted . this is achieved according to the following description : the parking vehicle 16 transmits via its communication device 34 an identification feature i 1 , such as a vehicle number . however , the passing vehicle 18 may also transmit a different identification feature i 2 via its communication device 34 ′. the identification features i 1 , i 2 are identification certificates in the context of the invention . the identification feature i 1 is contained in a message 42 which also includes an indication of a current velocity v 1 of the parking vehicle 16 . the actual velocity v 1 is determined by a detection device 44 of the parking vehicle 16 and transmitted to the communication device 34 . the identification feature i 2 is accordingly contained in a message 46 , which also contains information about an actual velocity v 2 of the passing vehicle 18 . with the determination of the actual velocity v 2 , the passing vehicle 18 also includes a detection device 44 ′. the communication device 30 of the infrastructure component 22 receives both the message 42 and the message 46 . the analyzing device 38 also determines for each of the objects o 1 , o 2 , o 3 , o 4 detected in the video image img a velocity based the video data . the analyzing device 38 determines that the objects o 3 and o 4 do not move ( 0 km / h ). a velocity value v 1 is determined for the object o 1 , and velocity value v 2 is determined for the object o 2 . the velocities represent operating parameters of the vehicles 16 , 18 , wherein conventional methods are available for their determination from the video sequence . the analyzing device 38 therefore determines that the object o 1 , which is just moving to the parking area 26 , has the same velocity value v 1 as contained in the message 42 of the vehicle 16 . when the velocity information is compared in the context of the invention , a match can generally be ascertained even when the velocity information differ from each other by a predetermined tolerance value . the tolerance value may also depend from the absolute value of the velocity . in particular , a large tolerance is preferred at high velocities , whereas a smaller tolerance is preferred at lower velocities . the analyzing device 38 can now determine that the parking object o 1 recognizable in the video image img must be the vehicle with the identification feature i 1 sein , which was contained in the same message 42 as the velocity value v 1 . the communication device 30 then transmits the video signal from the camera 28 to the vehicle having the identification feature i 1 , i . e . to the communication device 34 and not to the communication device 34 ′. in the illustrated example , it is assumed that the communication device 34 ′ of the vehicle 18 transmits the message 46 and other messages of the same type , because the vehicle 18 is moving toward an unillustrated gate which blocks , for example , access to an unillustrated parking garage . the driver of the vehicle 18 has leased a permanent parking space in the parking garage . an infrastructure component located next to the gate and possibly having a similar structure as the infrastructure component 22 detects the approaching vehicle 18 , for example , with radar or an ultrasonic sensor and by segmenting the radar or ultrasound images as an approaching object . the identification feature i 2 identifies the driver as the tenant of the parking space in the parking garage . when the vehicle 18 reaches the gate , the gate will open automatically . an analyzing device of the infrastructure component located next to the gate could unmistakably determine that the vehicle in front of the gate and recognizable in the radar or ultrasound image object must be the vehicle 18 whose driver has the right to the enter the parking garage . for this purpose , the same signal analysis was performed by the analyzing device , as was already described in connection with the analyzing device 38 . the example shows how a robust spatial allocation can also occur when several vehicles 16 , 18 can be distinguished as objects o 3 , o 4 in the detection area 40 of a sensor arrangement and when the trajectories of the individual vehicles are not restricted , i . e . when for example neither direction of travel nor a separate , pre - defined traffic lane is specified . the own vehicle &# 39 ; s movement is here preferably measured with sensors already existing in the vehicle ( e . g . odometry , steering angle , velocity , acceleration , and the like ). object recognition is performed based on the input data and preferably the future movement of the objects ( i . e . possibly one or more vehicles in the detection range ) is predicted for the detection area of the external sensors ( e . g . stereo / mono camera , laser scanner , pmd , and the like ). the resulting hypotheses for the movement of the objects are exchanged between the external sensor arrangement ( the infrastructure component ) and the vehicles via a wireless link ( wlan , bluetooth , etc .). the respective measured vehicle movement is continuously compared to produce an association between the vehicle and a detected object . the vehicle can thus be spatially unmistakably identified based on additional unique identifying features exchanged via the link . furthermore , the identification features may be stored on a back - end server ( for example an internet server ) and conceivably also dynamically adapted via an administration device . the identification certificate may also , for example , be an identification number for a wireless connection , for example an ip socket number for a wlan connection .