Abstract: A method for adjusting or controlling at least one actuator in a vehicle (1), for example an electrical servo motor (2) for a seat (3), a tripping mechanism of an airbag (4), or a display device (5) in the vehicle (1), comprising the following steps: capturing an image or a video of a preferably sitting person in the vehicle (1) through an image capturing unit (6) in 2D or 3D arranged in the vehicle (1), extracting the body data of the person through a data processing unit (7) and generation of a body data model (8) from the body data through a data processing unit (7), comparing the body data model (8) with a plurality of reference body poses (11) obtained from a database (10) through a comparator unit (9) and selecting a corresponding reference body pose (11), activating an actuator assigned to the selected reference body pose (11) with a setting of the actuator assigned to the selected reference body pose (11) through an activation unit (12).

Abstract: The invention relates to a computer-implemented method for determining features of the interior (1) of a vehicle (2) with at least one image capturing unit (3), a data processing unit (4) and a database (5), comprising the capturing, by the image capturing unit (3), of a photo (11) or video of the interior (1) and transmission to the data processing unit (4), the analysis of the photo (11) or video in the data processing unit (4) by a sequential data processing chain (10) of program modules (12, 12?, 12?), comprising the steps of rough analysis for the localisation of persons and objects and generation of body and object images (15, 15?, 15?), detailed analysis of the body and object images (15, 15?, 15?), extraction of body and object data (7), and storage, by the data processing unit (4), of the determined body and object data (7) in a hierarchical data model (9) in the database (5).

Abstract: A method for adjusting or controlling at least one actuator in a vehicle (1), for example an electrical servo motor (2) for a seat (3), a tripping mechanism of an airbag (4), or a display device (5) in the vehicle (1), comprising the following steps: capturing an image or a video of a preferably sitting person in the vehicle (1) through an image capturing unit (6) in 2D or 3D arranged in the vehicle (1), extracting the body data of the person through a data processing unit (7) and generation of a body data model (8) from the body data through a data processing unit (7), comparing the body data model (8) with a plurality of reference body poses (11) obtained from a database (10) through a comparator unit (9) and selecting a corresponding reference body pose (11), activating an actuator assigned to the selected reference body pose (11) with a setting of the actuator assigned to the selected reference body pose (11) through an activation unit (12).

Abstract: A device and a method for calibrating a light projector (1) with adaptable luminous elements (3) arranged in an image plane (2), comprising a camera (4) and a control unit (5) connected to the light projector (1) and the camera (4), wherein the light projector (1) is configured to project in temporal succession at least two test images (6, 6?) with at least two comparison structures (9, 9?) from the image plane (2) to an arbitrarily extending projection surface (7), the camera (4) is a depth camera configured to record at least two camera images of a recording surface (8) in a manner substantially synchronized temporally with the light projector (1), and to detect the three-dimensional position data of the comparison structures (9, 9?) in the camera images, and the control unit (5) is configured to determine the position and orientation of the light projector (1), and to calculate the translational displacement and rotational twist between camera (4) and projector (1).

Abstract: A method and processor to encode and/or decode a video stream exploiting frame-level parallelism. Frames of the video stream are encoded and/or decoded using M processing units where each processing unit processes one different frame at a time. Each processing unit writes the reconstructed frame to a frame buffer. A processing unit can start the encoding and/or decoding process once sufficient data of the previous reconstructed frame are available.