Abstract: A method for recognizing oscillations and/or deflection movements of an infrastructure component. The method includes: detecting static and/or geometric features of a first point cloud during initial installation; optionally segmenting the static features of the first point cloud, and generating a first segmented point cloud; further detecting static and/or geometric features of a second point cloud at a later point in time; segmenting the static features of the second point cloud, and generating a second segmented point cloud; superimposing the first point cloud or the first segmented point cloud with the second segmented point cloud; when the first point cloud or the first segmented point cloud is superimposed with the second segmented point cloud, transformation parameters obtained correspond to values of a local oscillation of the infrastructure component and of the at least one LIDAR sensor accommodated therein; and ascertaining an absolute oscillation of the infrastructure component.

Abstract: A method, a calibration device and a fusion unit for calibrating a sensor. The method includes: ascertaining a first piece of information representing a distance and/or a position of a first calibration device with respect to a second calibration device, ascertaining a piece of calibration information representing a distance and/or a position of the first calibration device with respect to the sensor based on the first piece of information and a second piece of information, which represents an absolute position of the second calibration device and/or a distance and/or a position of the second calibration device with respect to the sensor, transmitting the calibration information to the sensor, and calibrating the sensor based on the calibration information and a determination of the distance and/or position of the first calibration device and the second calibration device with respect to the sensor by way of a measurement by the sensor.

Abstract: A method for recognizing oscillations and/or deflection movements of an infrastructure component. The method includes: detecting static and/or geometric features of a first point cloud during initial installation; optionally segmenting the static features of the first point cloud, and generating a first segmented point cloud; further detecting static and/or geometric features of a second point cloud at a later point in time; segmenting the static features of the second point cloud, and generating a second segmented point cloud; superimposing the first point cloud or the first segmented point cloud with the second segmented point cloud; when the first point cloud or the first segmented point cloud is superimposed with the second segmented point cloud, transformation parameters obtained correspond to values of a local oscillation of the infrastructure component and of the at least one LIDAR sensor accommodated therein; and ascertaining an absolute oscillation of the infrastructure component.

Abstract: A method, a calibration device and a fusion unit for calibrating a sensor. The method includes: ascertaining a first piece of information representing a distance and/or a position of a first calibration device with respect to a second calibration device, ascertaining a piece of calibration information representing a distance and/or a position of the first calibration device with respect to the sensor based on the first piece of information and a second piece of information, which represents an absolute position of the second calibration device and/or a distance and/or a position of the second calibration device with respect to the sensor, transmitting the calibration information to the sensor, and calibrating the sensor based on the calibration information and a determination of the distance and/or position of the first calibration device and the second calibration device with respect to the sensor by way of a measurement by the sensor.