Abstract: The present invention relates to a Method to determine the depth of a scene (I) from at least one digital image (R, T) of said scene (I), comprising the following steps: A. acquiring said at least one digital image (R, T) of said scene (I); B. calculating a first disparity map (DM1) from said at least one digital image (R, T), wherein said first disparity map (DM1) consists of a matrix of pixels pij with i=1, . . . , M and j=1, . . . , N, where i and j indicate respectively the line and column index of said first disparity map (DM1), and M and N are positive integers; C. calculating a second disparity map (DM2), by a neural network, from said at least one digital image (R, T); D. selecting a plurality of sparse depth data Sij relative to the respective pixel pij of said first disparity map (DM1); E. extracting said plurality of sparse depth data S ii from said first disparity map (DM1); and F.

Abstract: An airbag module has at least one airbag housing, which can be locked with a receiving device in a motor vehicle and in which at least one inflator and a folded airbag are arranged. Springs are provided on the airbag housing, which bias the airbag housing in the installed state in relation to the receiving device. The springs are arranged in the region of the outer periphery of the airbag housing.

Abstract: An airbag module has at least one airbag housing, which can be locked with a receiving device in a motor vehicle and in which at least one inflator and a folded airbag are arranged. Springs are provided on the airbag housing, which bias the airbag housing in the installed state in relation to the receiving device. The springs are arranged in the region of the outer periphery of the airbag housing.