Abstract: A method and a device for monitoring a field of view of a stationary sensor. The method includes: a first step for receiving recordings of surroundings of the sensor, which are generated at different times within a predefined measuring time frame with the aid of the sensor; a second step for ascertaining, based on the recordings, measuring points, which each represent positions and/or dimensions of objects in the surroundings of the sensor; a third step for grouping the ascertained measuring points based on a predefined similarity metric, where each group of measuring points is represented by a prototype; and a fourth step for ascertaining a change of content within the field of view of the sensor based on a comparison of the prototypes with a reference data set, which includes reference prototypes, whose underlying measuring points are ascertained in a reference state of the sensor and of the surroundings.

Abstract: A method for synchronizing at least two environment sensors of a multi-sensor system using a central processing unit. In the method, the environment sensors acquire sensor signals that represent at least one item of environment information. The respective environment sensors generate data packets which include the respective acquired sensor signals and/or measured variables derived from the sensor signals in each case. These data packets are received by the central processing unit via a data network. Signal propagation times of the data packets for each environment sensor are ascertained using an algorithm, and a mean signal propagation time of data packets from a respective environment sensor is determined based on a content comparison of the measured variables included by the data packets with corresponding measured variables from data packets of at least one other environment sensor, and the determined mean signal propagation time is assigned to the respective environment sensor.

Abstract: A method for calibrating alignment of a radar sensor in an installation environment. The method includes: measuring, with a velocity measuring device that is stationary relative to a global reference system, a velocity component of a reference object in a direction parallel to a reference axis of the installation environment, measuring, with the radar sensor, an angular deviation between the position of the reference object and an optical axis of the radar sensor, calculating an anticipated radial velocity of the reference object relative to the radar sensor, assuming that the optical axis of the radar sensor is parallel to the reference axis, measuring the radial velocity of the reference object with the radar sensor, and calculating a misalignment angle between the optical axis of the radar sensor and the reference axis, based on the difference between the measured and the anticipated radial velocity.

Abstract: A method for recognizing misalignments of a stationary sensor. A first occupancy map is generated based on first sensor data, which the sensor generates at a first point in time. Based on second sensor data, which the sensor generates at a second point in time, a second occupancy map is generated. A cross-correlation of the first occupancy map and of the second occupancy map is calculated. A misalignment of the sensor is recognized based on the calculated cross-correlation.

Abstract: A method for synchronizing at least two environment sensors of a multi-sensor system using a central processing unit. In the method, the environment sensors acquire sensor signals that represent at least one item of environment information. The respective environment sensors generate data packets which include the respective acquired sensor signals and/or measured variables derived from the sensor signals in each case. These data packets are received by the central processing unit via a data network. Signal propagation times of the data packets for each environment sensor are ascertained using an algorithm, and a mean signal propagation time of data packets from a respective environment sensor is determined based on a content comparison of the measured variables included by the data packets with corresponding measured variables from data packets of at least one other environment sensor, and the determined mean signal propagation time is assigned to the respective environment sensor.

Abstract: A method for monitoring the traffic flow with the aid of a stationary radar sensor, which operates in the frequency band of 76 GHz to 77 GHz and is operated in such a way that it meets a radiation protection criterion according to which, in a sequence of consecutive time intervals which all have the same length T, each of these time intervals includes an uninterrupted radiation-free time period of at least 0.9 T. An arbitrary stationary point in the surroundings of the radar sensor within each of these time intervals is exposed to the radar radiation of this radar sensor for no more than a radiation duration of L?T/100. The radar sensor is static during the measuring operation, and the radiation protection criterion is met by the temporally clocked operation of the radar sensor.

Abstract: A method and to a device for controlling an autonomously driving passenger transport vehicle. The driving behavior of the passenger transport vehicle is adapted to an ascertained passenger situation. When the vehicle is empty, driving may be rather aggressive, whereas in the case of there being occupants in the vehicle, more attention may be paid to their comfort and safety.

Abstract: A method for adapting a driving behavior of a semi, highly or fully automated vehicle and includes the following steps: receiving passenger compartment data; ascertaining a safety state of at least one vehicle occupant which in particular represents an injury probability of the vehicle occupant in the event of an accident, based on the passenger compartment data; and adapting the driving behavior of the vehicle based on the safety state of the at least one vehicle occupant.

Abstract: A method for adapting a driving behavior of a semi, highly or fully automated vehicle and includes the following steps: receiving passenger compartment data; ascertaining a safety state of at least one vehicle occupant which in particular represents an injury probability of the vehicle occupant in the event of an accident, based on the passenger compartment data; and adapting the driving behavior of the vehicle based on the safety state of the at least one vehicle occupant.