Abstract: A system and a method for assisting with troubleshooting a complex system is disclosed in which the troubleshooting procedure can be modeled by a Markov decision process. Combining the fault tree technique with a Markov decision process, in order to determine in an optimal manner the sequence of troubleshooting actions will quickly address the consequences of a failure and ensure maintainability of the complex system.

Abstract: A system and a method for assisting with troubleshooting a complex system is disclosed in which the troubleshooting procedure can be modeled by a Markov decision process. Combining the fault tree technique with a Markov decision process, in order to determine in an optimal manner the sequence of troubleshooting actions will quickly address the consequences of a failure and ensure maintainability of the complex system.

Abstract: The method produces three dimensional cartographic data of a scene from n two-dimensional images of the scene, n being an integer higher than 2. The images are delivered by n respective detectors seeing the scene from different points of view. In a first step, each detector i is calibrated for estimating parameters identifying n affine models Fi (x, y, z) each defining a relation between coordinates x, y, z of any point in the scene and coordinates (p, q)i of a projection of said any point in an image i among said n images. Each of (n−1) couples of images, (each couple consisting of a same reference image selected among said n images) is matched, each match being made by searching an homolog of each of pixels or zones constituting the reference image along a corresponding epipolar line of the other image of the couple.