Abstract: A method for processing video data comprising a plurality of image frames, the method comprising: obtaining a forward model and a backward model of the plurality of image frames; processing the forward model and the backward model to propagate at least one label in the region or patch to at least one other image frame of the video sequence, using a probabilistic method for estimating the label in the at least one other image frame in forward and backward correspondences, wherein, during the processing, a pixel having a most likely label with a probability lower than a threshold value is assigned a predetermined generic label; and generating a labelled result for any given image frame by applying an image label difference, based on label uncertainty between the forward and backward correspondences, to the given image frame.

Abstract: An automated driving system and method of autonomously driving a vehicle. The system includes for a vehicle including at least one sensor device configured to detect the vehicle position and sense environment characteristics of the vehicle, an electronic control device configured to control autonomous driving of the vehicle based on an output of the sensor device, in which the controlling of autonomous driving includes an autonomous overtaking functionality for overtaking by changing the lane, and disable the autonomous overtaking functionality, in case at least one of a set of predetermined overtaking conditions is not satisfied.

Abstract: A system for brain-based digital menu selection includes an acquisition device to obtain one or more electrical signals corresponding to an operator's brain response, a stimulation generation device to generate a first stimulus with one or more target options based on the operator triggering the system, a first database including a first classification model, and processor. The processor receives a first response from the acquisition device corresponding to an operator's brain response to the first stimulus with the one or more target options, determines a probability of intended target, when the probability of intended target option is higher than a predefined confidence threshold value, selecting the intended target option and presenting a second stimulus, or executing a final action, according to the selected target option, and storing the first response and the selected target option in the first database with a classification identifier identifying the operator.

Abstract: An adaptive cruise control method for a driving vehicle includes acquiring the speed of the driving vehicle, acquiring the relative distance between the driving vehicle and the preceding vehicle driving in the same lane in front of the driving vehicle, calculating a target time headway, the time headway being the ratio between the relative distance and the driving vehicle speed, on the basis of a relationship linking the target time headway with the driving vehicle speed, and controlling, as a first control mode, the engine and/or the brake of the driving vehicle on the basis of the target time headway.

Abstract: A method includes calculating a stereo-disparity map between the initial image and the final image, for each column of the stereo-disparity map, calculating an average value of the stereo-disparities of the pixels of the column, calculating the slope and/or constant factor of a linear function approximating variations of said average values; and calculating said information relative to the relative speed between the object and the camera, based on the slope and/or the constant factor.

Abstract: The present invention relates to a curable composition for preparing a composite polymer electrode, the curable composition containing: A) a Li-ion conducting solid electrolyte whose general composition has the formula: Li7+x?yMIIxMIII3?xMIV2?yO12 wherein MII, MIII, MIV, MV are species of valence II to V; where 0?x<3, preferably 0?x?2; and 0?y<2 preferably 0?y?1; (B) a polymer; (C) a lithium salt; (D) an active plasticizer; and (E) a photoinitiator. The invention also relates to a process of preparing the curable composition, cured compositions and films derived from the curable composition, and solid-state lithium batteries whose solid electrolyte layer contains a cured composition or a cured film according to the invention.

Abstract: An electrolyte composition, for use in particular in a lithium-air battery, includes (A) a fluorinated cation of structure R1R2R3N+-(linker1)-O-(linker2)-(FC), wherein R1, R2 and R3 are C1-C6 linear or branched alkyl groups, linkers linker1 and linker2 contain alkylene or oxyalkylene chains and FC is a fluorinated alkyl group; (B) an anion; (C) a solvent containing at least one —O—CH2—CH2—O— or —O—CH2—CHMe—O— group, an ?-caprolactone oligomer, or a dialkyl sulfoxide; and (D) a lithium salt.

Abstract: A control device for controlling charging of a rechargeable battery, the control device including a rechargeable dummy cell, a first circuit configured to charge the battery and the dummy cell, and a second circuit configured to measure the open circuit voltage of the dummy cell. The control device is configured to: determine the open circuit voltage of the dummy cell by using the second circuit, and determine the maximum capacity increment of the battery, which is to be charged until full charging, based on the determined open circuit voltage of the dummy cell. Also, a corresponding method of controlling charging of a rechargeable battery.

Abstract: A method and system for training a model for image generation. The model includes a hybrid variational auto-encoder (VAE)—generative adversarial network (GAN) framework. The method includes the steps of: multiple input of an input image into the VAE which outputs in response multiple distinct output image samples, determining the best of the multiple output image samples as a best-of-many sample, the best-of-many sample having the minimum reconstruction cost, and training the model based on a predefined training objective, the predefined training objective integrating the best-of-many sample reconstruction cost and a GAN-based synthetic likelihood term.

Abstract: A device for coating semiconductor/semiconductor precursor particles on a flexible substrate and a preparation method of a semiconducting thin film, wherein the device includes: a container for a first and second solvent substantially immiscible; injection means for injecting a predetermined dispersion volume of at least one layered semiconductor particle material or its precursor(s), occurring at a liquid-liquid interface formed within the container and between the first and second solvent, and creating a particle film at the liquid-liquid interface; a first support means; substrate extracting means; substrate supply means; compression means, reducing a distance between particles and push the film onto the substrate, wherein the compression means includes several pushing means mounted on a drive device, wherein at least two of the several pushing means are at least partially submerged in the second solvent during drive device rotation, and moved through the second solvent toward the first support means.

Abstract: An image obtaining means including: a processor; a memory module communicatively coupled to the processor; a camera communicatively coupled to the processor; and the processor being configured to: receive, from the camera, image data; determine whether a predetermined object is present based on the image data; if a predetermined object is detected as present, determine if the predetermined object is moving or stationary; and if the predetermined object is stationary for at least a predetermined time period, record the duration that the predetermined object is stationary in the memory module.

Abstract: A tracking system and an image obtaining means include: a processor; a memory module communicatively coupled to the processor; a pan-tilt camera including angle sensors communicatively coupled to the processor for tracking a predetermined object and sensing the coordinates of the pan-tilt camera; and machine readable instructions stored in the memory module that cause the image obtaining means to determine whether the predetermined object becomes lost within the image periphery of the image data; and if the predetermined object becomes lost, record the coordinates of the camera in the memory module where the predetermined has been tracked for the last time.

Abstract: A computer-based method for simulating a human-like decision in an environmental context, comprising: capturing environmental data with at least one sensor, realising a computer based method for realising a bi-directional compression of high dimensional data by compressing the data into a lower-dimensional map, if environmental data are captured during a learning phase of a computer-based model, evaluate the map of compressed data by determining the quality of the map by how well it separates data with different properties, the captured data corresponding to known pre-recorded data that have been pre-evaluated, if environmental data are captured after the learning phase, add new point to the compressed data and generate a signal indicating which human-like decision to use to correspond to the state of the operator.

Abstract: The present invention relates to a compound represented by the general formula Li2+2xM1?xZS4, wherein 0.3?x?0.9; wherein M is one or more elements selected from the group consisting of Pb, Mg, Ca, Ge and Sn; and wherein Z is one or more elements selected from the group consisting of Ge, Si, Sn and Al. The present invention also relates to a method for preparing the material of the present invention, comprising the steps of: (a) providing a mixture of lithium sulfide Li2S, sulfides MS and ZS2, in a stoichiometric ratio ensuring Li2+2xM1?xZS4 to be obtained, wherein M, Z and x are as defined above; (b) pelletizing the mixture prepared in step (a); (c) heating at a maximum plateau temperature. In still another aspect, the present invention relates to a use of the compound of the present invention as a solid electrolyte, in particular in an all solid-state lithium battery.

Abstract: A driving assistance system includes a sensor set, a data storage device and an output device. The sensor set observes apparent states of each road user of the plurality of road users at successive time steps, the data processor assigns a behavioral model stored in the data storage device, the data processor calculating a new maneuver distribution that is a probability distribution over a finite plurality of alternative maneuvers and a new state distribution that is a probability distribution of possible states for each alternative maneuver of the finite plurality of alternative maneuvers. The data processor determines a risk of collision of the road vehicle with another road user, based on the new maneuver and state distributions of the target road user, and outputs one or more of a driver warning signal and executes an avoidance action if the risk of collision exceeds a predetermined threshold.

Abstract: A method (100) for making a non-aqueous rechargeable metal-air battery is provided. The method includes before and/or after inserting (108) a cathode in the battery, a pre-conditioning step (104, 106, 110) of a 3D nanomesh structure, so as to obtain a pre-conditioned 3D nanomesh structure, the pre-conditioned 3D nanomesh structure being free of cathode active material. A cathode to be inserted into a non-aqueous rechargeable metal-air battery is also provided. The cathode includes a pre-conditioned 3D nanomesh structure made of nanowires made of electronic conductive metal material, the pre-conditioned 3D nanomesh structure being free of cathode active material. A non-aqueous rechargeable metal-air battery including such a cathode is also provided.

Abstract: A system and a method for processing an image include inputting the image to a neural network configured to: obtain a plurality of feature maps, each feature map having a respective resolution and a respective depth, perform a classification on each feature map to deliver, for each feature map: the type of at least one object visible on the image, the position and shape in the image of at least one two-dimensional bounding box surrounding the at least one object, at least one possible viewpoint for the at least one object, at least one possible in-plane rotation for the at least one object.

Abstract: A control device for controlling discharging of a rechargeable battery, the control device being configured to: determine the voltage of the battery during discharging of the battery, stop discharging, when the determined voltage falls below a first predetermined lower voltage limit, determine the voltage of the battery after stopping discharging, determine the voltage difference between the first predetermined lower voltage limit and the determined voltage of the battery after stopping discharging, and continue discharging, when the determined voltage difference exceeds a predetermined threshold. A corresponding method controls discharging of a rechargeable battery.

Abstract: The invention relates to a system for detecting objects in a digital image. The system comprises a neural network which is configured to generate candidate windows indicating object locations, and to generate for each candidate window a score representing the confidence of detection. Generating the scores comprises: generating a latent representation for each candidate window, updating the latent representation of each candidate window based on the latent representation of neighboring candidate windows, and generating the score for each candidate window based on its updated latent representation The invention further relates to a system for rescoring object detections in a digital image and to methods of detecting objects and rescoring objects.

Abstract: The present invention relates to a process for the synthesis of a composite material comprising steps of: (a) reacting gaseous magnesium (Mg) and silica (SiO2) in an inert atmosphere; (b) washing the product obtained in step (a) in an acidic medium; and (c) reacting further gaseous magnesium (Mg) with the silica (SiO2) and silicon (Si) product obtained in step (b). The process of the invention allows Mg2Si/MgO nanocomposites to be prepared without too many separate steps, and wherein the MgO phase is homogeneously dispersed within the Mg2Si matrix. The nanocomposites obtained may for example find practical application as thermoelectric materials in thermoelectric generators.