Abstract: A method for detecting a direction of a collision of a vehicle. The method includes a comparing step, in which a first acceleration signal is compared to two threshold values, in order to determine a first collision direction signal indicating a direction of the collision, and in which a second acceleration signal is compared to a further threshold value, in order to determine a further collision direction signal indicating a direction of the collision. The second acceleration signal represents the acceleration of the vehicle subjected to smoothing. In the determining step, using the first collision direction signal and the further collision direction signal, a result signal is determined, which indicates the direction indicated by the first collision direction signal and by the further collision direction signal as an actual collision direction.

Abstract: A method for detecting a direction of a collision of a vehicle. The method includes a comparing step, in which a first acceleration signal is compared to two threshold values, in order to determine a first collision direction signal indicating a direction of the collision, and in which a second acceleration signal is compared to a further threshold value, in order to determine a further collision direction signal indicating a direction of the collision. The second acceleration signal represents the acceleration of the vehicle subjected to smoothing. In the determining step, using the first collision direction signal and the further collision direction signal, a result signal is determined, which indicates the direction indicated by the first collision direction signal and by the further collision direction signal as an actual collision direction.

Abstract: A method for generating a signal representing an impact intensity including the steps: receiving at least three signals, which represent respectively accelerations in different spatial directions; calculating a direction-independent variable from the three signals; ascertaining an integrated measurand of the direction-independent variable over a time window; generating a signal representing an impact intensity on the basis of the ascertained integrated measurand.

Abstract: A method for generating a signal representing an impact intensity including the steps: receiving at least three signals, which represent respectively accelerations in different spatial directions; calculating a direction-independent variable from the three signals; ascertaining an integrated measurand of the direction-independent variable over a time window; generating a signal representing an impact intensity on the basis of the ascertained integrated measurand.

Abstract: A multi-planar plenoptic display assembly is provided that includes multiple spatially-varying light emitting and light modulating planes. The display assembly includes at least one light emitting device and may include, but does not require, a modulating device used in conjunction according to display methods taught herein to display light field data. A display assembly controller may be used to render a light field with depth into a multi-planar plenoptic display assembly by assigning decomposed portions of the light field to the display assembly for display or presentation by differing ones of the emitting elements and by operating a modulating device to provide a parallax barrier. In one embodiment, a dynamic parallax barrier and a number of bi-state screens. Another embodiment uses a beam splitter to co-locate two pairs of autostereoscopic displays each including a projector projecting 3D content, a parallax barrier, and an emissive/projector element.

Abstract: A computer-implemented method for estimating a pose of an articulated object model that is a computer based 3D model of a real world object observed by one or more source cameras, including the steps of obtaining a source image from a video stream; processing the source image to extract a source image segment maintaining, in a database, a set of reference silhouettes, each being associated with an articulated object model and a corresponding reference pose; comparing the source image segment to the reference silhouettes and selecting reference silhouettes by taking into account, for each reference silhouette, a matching error that indicates how closely the reference silhouette matches the source image segment retrieving the corresponding reference poses of the articulated object models; and computing an estimate of the pose of the articulated object model from the reference poses of the selected reference silhouettes.

Abstract: A multi-planar plenoptic display assembly is provided that includes multiple spatially-varying light emitting and light modulating planes. The display assembly includes at least one light emitting device and may include, but does not require, a modulating device used in conjunction according to display methods taught herein to display light field data. A display assembly controller may be used to render a light field with depth into a multi-planar plenoptic display assembly by assigning decomposed portions of the light field to the display assembly for display or presentation by differing ones of the emitting elements and by operating a modulating device to provide a parallax barrier. In one embodiment, a dynamic parallax barrier and a number of bi-state screens. Another embodiment uses a beam splitter to co-locate two pairs of autostereoscopic displays each including a projector projecting 3D content, a parallax barrier, and an emissive/projector element.

Abstract: A computer-implemented method for estimating a pose of an articulated object model (4), wherein the articulated object model (4) is a computer based 3D model (1) of a real world object (14) observed by one or more source cameras (9), and wherein the pose of the articulated object model (4) is defined by the spatial location of joints (2) of the articulated object model (4), comprises the steps of obtaining a source image (10) from a video stream; processing the source image (10) to extract a source image segment (13); maintaining, in a database, a set of reference silhouettes, each being associated with an articulated object model (4) and a corresponding reference pose; comparing the source image segment (13) to the reference silhouettes and selecting reference silhouettes by taking into account, for each reference silhouette, a matching error that indicates how closely the reference silhouette matches the source image segment (13) and/or a coherence error that indicates how much the reference pose is con