Abstract: A method for adjusting an information system of a mobile machine, the information system being configured to calculate 3D information relative to a scene in which the mobile machine is moving, the method including: acquiring at least a first image of the scene at a first time and a second image of the scene at a second time; detecting one or more scene features in the first image and the second image; matching the one or more scene features across the first image and the second image based upon detection of the one or more scene features; estimating an egomotion of the mobile machine based upon the matching of the one or more scene features across the first image and the second image; and adjusting the information system by taking into account the estimation of the egomotion of the mobile machine.

Abstract: A method for tracking a position of an object in a scene surrounding a mobile machine based upon information acquired from monocular images, includes: acquiring at least a first image at a first time and a second image at a second time, the first image and the second image each including image data corresponding to the object and a scene feature present in the scene surrounding the mobile machine; detecting the object in the first image and the second image; matching the scene feature across the first image and the second image; performing an estimation of an egomotion of the mobile machine based upon the scene feature matched across the first image and the second image; and predicting a position of the object taking into account the estimation of the egomotion of the mobile machine.

Abstract: A system and a method for processing a plurality of images, each image of the plurality of images being acquired by a respective image acquisition module of a vehicle and each image acquisition module being oriented outwardly with respect to the vehicle, the method comprising: elaborating a bird's eye view image of surroundings of the vehicle using pixel values of pixels of at least one portion of each image of the plurality of images as pixel values of the bird's eye view image, and performing, on the bird's eye view image, a detection of at least one lane marked on a surface on which the vehicle is and visible on the bird's eye view image.

Abstract: A system and a method for processing a plurality of images, each image of the plurality of images being acquired by a respective image acquisition module of a vehicle and each image acquisition module being oriented outwardly with respect to the vehicle, the method comprising: elaborating a bird's eye view image of surroundings of the vehicle using pixel values of pixels of at least one portion of each image of the plurality of images as pixel values of the bird's eye view image, and performing, on the bird's eye view image, a detection of at least one lane marked on a surface on which the vehicle is and visible on the bird's eye view image.

Abstract: The present disclosure provides a method for processing at least one image comprising inputting the image to at least one neural network, the at least one network being configured to deliver, for each pixel of a group of pixels belonging to an object of a given type visible on the image, an estimation of object parameters that are parameters of the object. The method further comprising processing the estimations of the object parameters using an instance segmentation mask identifying instances of objects having the given type.