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 control device for a vehicle for determining perceptual load of a visual and dynamic driving scene, the control device being configured to: receive an image sequence representing the driving scene, extract a set of scene features from the image sequence, the set of scene features representing static and/or dynamic information of the driving scene, calculate a time-aggregated representation of the image sequence based on the extracted set of scene features, calculate an attention map of the driving scene by attentional pooling of the time-aggregated representation of the image sequence, and determine the perceptual load of the driving scene based on the attention map. The invention further relates to a corresponding method.

Abstract: The present disclosure relates to a horn antenna or waveguide system comprising a corrugated horn or waveguide, wherein the corrugation takes the form of a helical spiral along the inner surface of the horn or waveguide. The present disclosure further relates to radar antenna.

Abstract: A system for image completion is disclosed. The system comprises a coordinate generation module configured to receive past frames and a present frame having a first field-of-view and to generate a set of coordinate maps, one for each of the received past frames; and a frame aggregation module configured to receive as input the past frames, the present frame, and the coordinate maps and to synthesize, based on said input, a present frame having a second field-of-view.

Abstract: The present disclosure relates to a tunable waveguide system comprising a waveguide configured to guide radio waves in at least two dimensions, and an electronically tunable metamaterial configured to tune the radio waves by electronically changing its dielectric and/or conductive characteristics. The present disclosure further relates to a radar antenna system.

Abstract: The present disclosure relates to a method of aligning a set of objects, the method comprising the steps of: providing each object with at least one resonant circuit, the resonant circuits having at least one resonance frequency, and aligning the objects until a field coupling between the resonant circuits reaches a predetermined value. The disclosure further relates to an electronic alignment system.

Abstract: The present disclosure relates to an electronic circuit having a three-dimensional design by comprising a set of two-dimensional electronic circuits, wherein the two-dimensional electronic circuits are coupled with each other by radiation. The disclosure further relates to a radar antenna system.

Abstract: A computer-implemented method for training a classifier (??), including: training a pretext model (??) to learn a pretext task, so as to minimize a distance between an output of a source sample via the pretext model (??) and an output of a corresponding transformed sample via the pretext model (??), the transformed sample being a sample obtained by applying a transformation (T) to the source sample; S20) determining a neighborhood (NXi) of samples (Xi) of a dataset (SD) in the embedding space; S30) training the classifier (??) to predict respective estimated probabilities ??j(Xi), j=1 . . . C, for a sample (Xi) to belong to respective clusters (Cj), by using a second training criterion which tends to: maximize a likelihood for a sample and its neighbors (Xj) of its neighborhood (Nxi) to belong to the same cluster; and force the samples to be distributed over several clusters.

Abstract: This method adapts an initial model trained with labeled images of a source domain into an adapted model. It comprises: copying the initial model into the adapted model; dividing the adapted model into an encoder part and a second part, wherein the second part is configured to process features output from said encoder part; adapting said adapted model to a target domain using images (xs) of the source and target domains while fixing the parameters of said second part and minimizing a function of following two distances: a distance between features of the source domain output of the encoders of the initial model and of the adapted model; and a distance measuring a distribution distance between probabilities of features obtained for images of the source domain and of the target domain.

Abstract: The disclosure relates to a waveguide system comprising a plurality of stacked layers. The system further comprises a waveguide in a direction across the layers by providing each layer with a predetermined metal pattern. The disclosure further relates to a method for forming a waveguide.

Abstract: The present disclosure relates to a three-dimensional dielectric structure comprising at least one input and at least one output configured to transmit electromagnetic waves of at least one predetermined wavelength, a metamaterial between the at least one input and the at least one output comprising a substrate and objects with a predetermined dielectric characteristic different to the dielectric characteristic of the substrate, the objects being distributed in the substrate according to a spatially varying distribution function that depends on the wavelength. The disclosure further relates to a method of forming a three-dimensional dielectric structure.

Abstract: The present disclosure relates to an electronic circuit having a three-dimensional design by comprising a set of two-dimensional electronic circuits, wherein the two-dimensional electronic circuits are coupled with each other by radiation. The disclosure further relates to a radar antenna system.

Abstract: The present disclosure relates to a method of aligning a set of objects, the method comprising the steps of: providing each object with at least one resonant circuit, the resonant circuits having at least one resonance frequency, and aligning the objects until a field coupling between the resonant circuits reaches a predetermined value. The disclosure further relates to an electronic alignment system.

Abstract: The disclosure relates to a waveguide system comprising a plurality of stacked layers. The system further comprises a waveguide in a direction across the layers by providing each layer with a predetermined metal pattern. The disclosure further relates to a method for forming a waveguide.

Abstract: The present disclosure relates to a tunable waveguide system comprising a waveguide configured to guide radio waves in at least two dimensions, and an electronically tunable metamaterial configured to tune the radio waves by electronically changing its dielectric and/or conductive characteristics. The present disclosure further relates to a radar antenna system.

Abstract: The present disclosure relates to a horn antenna or waveguide system comprising a corrugated horn or waveguide, wherein the corrugation takes the form of a helical spiral along the inner surface of the horn or waveguide. The present disclosure further relates to radar antenna.

Abstract: The present disclosure relates to a three-dimensional dielectric structure comprising at least one input and at least one output configured to transmit electromagnetic waves of at least one predetermined wavelength, a metamaterial between the at least one input and the at least one output comprising a substrate and objects with a predetermined dielectric characteristic different to the dielectric characteristic of the substrate, the objects being distributed in the substrate according to a spatially varying distribution function that depends on the wavelength. The disclosure further relates to a method of forming a three-dimensional dielectric structure.

Abstract: An image processor (10) has a window selector for choosing a detection window within the image, and a self similarity computation part (40) for determining self-similarity information for a group of the pixels in any part of the detection window, to represent an amount of self-similarity of that group to other groups in any other part of the detector window, and for repeating the determination for groups in all parts of the detection window, to generate a global self similarity descriptor for the detection window. A classifier (50) is used for classifying whether an object is present based on the global self-similarity descriptor. By using global self-similarity rather than local similarities more information is captured which can lead to better classification. In particular, it helps enable recognition of more distant self-similarities inherent in the object, and self-similarities present at any scale.

Abstract: An image processor (10) has a window selector for choosing a detection window within the image, and a self similarity computation part (40) for determining self-similarity information for a group of the pixels in any part of the detection window, to represent an amount of self-similarity of that group to other groups in any other part of the detector window, and for repeating the determination for groups in all parts of the detection window, to generate a global self similarity descriptor for the detection window. A classifier (50) is used for classifying whether an object is present based on the global self-similarity descriptor. By using global self-similarity rather than local similarities more information is captured which can lead to better classification. In particular, it helps enable recognition of more distant self-similarities inherent in the object, and self-similarities present at any scale.

Abstract: A method (100) and system (300) is described for processing video data comprising a plurality of images. The method and apparatus is for obtaining for labeling of a plurality of objects or regions in an image of a sequence of images followed by label propagation to other images in the sequence based on an inference step and a model.