Abstract: A method for carrying out a plausibility check of a transmitted traffic light signal at an intersection system. The method includes: receiving a transmitted traffic light signal, wherein the traffic light signal represents a current traffic light phase of a traffic light of the intersection system and an associated lane; acquiring a traffic flow that crosses the traffic flow regulated by the traffic light signal and ascertaining characterizing data of the crossing traffic flow; evaluating the characterizing data to determine whether they correspond to characterizing data to be expected in relation to the transmitted traffic light signal, and issuing a warning if a non-correspondence is detected.

Abstract: A method for carrying out a plausibility check of a transmitted traffic light signal at an intersection system. The method includes: receiving a transmitted traffic light signal, wherein the traffic light signal represents a current traffic light phase of a traffic light of the intersection system and an associated lane; acquiring a traffic flow that crosses the traffic flow regulated by the traffic light signal and ascertaining characterizing data of the crossing traffic flow; evaluating the characterizing data to determine whether they correspond to characterizing data to be expected in relation to the transmitted traffic light signal, and issuing a warning if a non-correspondence is detected.

Abstract: A method for avoiding accidents at an intersection system, in particular in the context of automated driving. The method includes: receiving a transmitted traffic light signal, wherein the traffic light signal represents current traffic light phase of a traffic light of the intersection system and an associated lane, i.e., a lane assigned to the traffic light; detecting a traffic flow which crosses the traffic flow controlled by the traffic light signal, and ascertaining characterizing data of the crossing traffic flow; generating an object list from the characterizing data; evaluating the object list as to whether anomalies of one or more objects of the object list exist with respect to the transmitted traffic light signal; and outputting a warning if an anomaly is determined.

Abstract: A method for securing communication between a roadside radio unit and vehicles in the surroundings of the roadside radio unit. The method includes: broadcasting a sequence of radio signals to the surroundings by means of the roadside radio unit, wherein the radio signals each have a temporal assignment; receiving a response signal from a vehicle or a stationary monitoring unit, wherein the response signal represents at least the temporal assignment of a radio signal that was faulty or not received by the vehicle or by the monitoring unit; and broadcasting a repeated signal by means of the roadside radio unit as a function of the received response signal, wherein the repeated signal represents the faulty or not-received radio signal and is in particular characterized as a repeated signal.

Abstract: A method for qualification of a camera system and/or its image/camera signals of a partially autonomously or autonomously driving vehicle. Infrastructure information from a vehicle's surroundings is used. The image/camera signal of the camera system is monitored by a monitoring function with regard to at least the following criteria: image/camera signal in recurring, known time windows, sequence of the image/camera signals, corruption of the image/camera signals, signature checking of the camera system. Checking of the image/camera signals using unmoving land markings that are reconciled with a list is carried out and they are checked for a mapping signature. Then the image/camera signals and the infrastructure information contained in the updated map check function are communicated to an evaluation function and merged and compared in a signal fusion unit. Consequently, a qualified image/camera signal is obtained.

Abstract: A method for qualification of a camera system and/or its image/camera signals of a partially autonomously or autonomously driving vehicle. Infrastructure information from a vehicle's surroundings is used. The image/camera signal of the camera system is monitored by a monitoring function with regard to at least the following criteria: image/camera signal in recurring, known time windows, sequence of the image/camera signals, corruption of the image/camera signals, signature checking of the camera system. Checking of the image/camera signals using unmoving land markings that are reconciled with a list is carried out and they are checked for a mapping signature. Then the image/camera signals and the infrastructure information contained in the updated map check function are communicated to an evaluation function and merged and compared in a signal fusion unit. Consequently, a qualified image/camera signal is obtained.

Abstract: A method for monitoring a data fusion function of an infrastructure system for the infrastructure-supported assistance of motor vehicles during an at least semi-automated driving task within an infrastructure, the infrastructure including multiple infrastructure surroundings sensors for detecting an area of the infrastructure. The method includes: receiving multiple input data sets intended for the data fusion function, each of which includes surroundings data based on the respective detection of the area, which represent the detected area; receiving output data based on a data fusion of the input data sets, output by the data fusion function; checking the input data sets and/or the output data for consistency; outputting a check result of the check. A device, a computer program, and a machine-readable memory medium are also provided.