Abstract: A method for detecting a person in a space includes at least one depth sensor producing spatial data about the space to be monitored, at least one sub-model, which is sub-dividable into further sub-models being used for at least one selected body part of a human, the spatial data being used to adapt the sub-models, the adaptation being checked by position parameters between the sub-models of different body parts, and the person being recognized using a complete model made up of the checked sub-models.

Abstract: A device for adjusting at least one vehicle seat is provided, the device being configured to automatically adjust the at least one vehicle seat. Furthermore, the device is configured in such a way that the device adjusts a contour of the at least one vehicle seat as a function of a signal from an image-generating sensory system, which detects a vehicle occupant on the vehicle seat.

Abstract: An imaging sensor disposed in a vehicle includes an evaluation unit for monitoring the imaging sensor's operability based on an image signal, for example, by an evaluation of invariant patterns, empirical knowledge about measurement signal profiles, utilizing the redundancy of a network of sensors, or utilizing time-related redundancy.

Abstract: A method and a device for detecting the occupancy state of a seat, e.g., in a vehicle, and for use in activating a restraint mechanism allocated to the seat, as a function of the occupancy state, are provided. With the aid of an image recording system, a 3D image of the seat is recorded and evaluated with respect to the occupancy state, and optionally also with respect to the type of the occupancy. For the evaluation, a 3D pattern is drawn upon, which is available externally or which is able to be generated internally in an initialization step. A hierarchically constructed evaluation also permits, after determination of an occupancy state, a classification with respect to the type of the respective occupancy.

Abstract: Proposed is a method for detecting a person in a space; at least one depth sensor producing spatial data about the space to be monitored; at least one sub-model which is subdividable into further sub-models being used for at least one selected body part of a human; the spatial data being used to adapt the sub-models; the adaptation being checked by position parameters between the sub-models of different body parts, and the person being recognized using a complete model made up of the checked sub-models.