Abstract: A control device for a sound-system of a vehicle with an engine is configured to control the sound-system to generate an artificial engine sound, to monitor longitudinal and/or lateral vehicle acceleration, and to adapt the generated artificial engine sound as a function of the longitudinal and/or lateral vehicle acceleration. A corresponding method adapts an artificial engine sound for a vehicle.

Abstract: A driving assistance system includes a sensor set, a data storage device and an output device. The sensor set detects a set of road users and, for each road user, a current state including a current speed and a current position. The data storage device includes a finite plurality of behavioral models. The data processor assigns a behavioral model to each road user, probabilistically estimates, for each road user, a belief state comprising a set of alternative subsequent states and corresponding probabilities, each alternative subsequent state including a speed and a position, according to the behavioral model assigned to each road user, and determines a risk of collision of the road vehicle with a road user, based on the probabilistically estimated future state of each road user. The output device outputs a driver warning signal or executes an avoidance action if the risk of collision exceeds a predetermined threshold.

Abstract: A process for preparing stacks of metal chalcogenide flakes includes: (a) reacting together a source of the metal atom of the target metal chalcogenide with a source of the chalcogenide atom of the target metal chalcogenide, in the presence of a spacer, so as to produce flakes of the metal chalcogenide; (b) depositing metal chalcogenide flakes obtained using step (a) onto a substrate to form a stack of assembled metal chalcogenide flakes, wherein the spacer contains an alkyl chain linked to a functional group able to bond to the metal chalcogenide surface, said alkyl chain having a length of less than 18 carbon atoms, preferably between 6 and 14 carbon atoms.

Abstract: A system for uploading data from a main vehicle to a cloud server is presented. The system includes a first sensor, a second sensor, a communication unit, and an electronic control unit. The first sensor obtains geo localization information of the main vehicle. The second sensor monitors first and second predetermined micro characteristics of the environment of the main vehicle. The communication unit transmits a report to an external cloud server and receives macro environment information indicating a predetermined macro characteristic of a geographic region in which the main vehicle is traveling. The electronic control unit repeatedly generates reports by collecting and buffering the first micro characteristic and transmits the reports in predetermined time intervals. The time intervals may be modified as a function of the second micro characteristic and the macro environment information.

Abstract: A grasping points determination method including: S10) receiving a scene image showing an object to be grasped; S20) in the scene image, determine the object and its features, and local descriptors and 2D-locations of these features; S30) based on database local descriptors of features of the object and 2D- and 3D-location(s) of grasping points of the object, determined in a previous position of the object, identifying a best-fit combination which transforms previously defined local descriptors into the determined local descriptors; S40) determining the registration corresponding to the combination; S50) determining in the scene image 2D-location(s) of grasping points by applying registration to previously defined 3D-location(s) of the grasping points; S60) determining 3D information relative to the object; S70) determining 3D-location(s) of the grasping points. Grasping points database creation method for creating the database. Systems for implementing the above methods.

Abstract: A method for determining the intention of a user of a vehicle to brake or accelerate, comprising: acquiring (100) a plurality of EEG signals on the user, applying (101) a predetermined spatial filter on the plurality of EEG signals so as to obtain a target EEG component, detecting (102) a spectral pattern in the EEG component corresponding to an intention to brake or detecting a phase pattern in the EEG component corresponding to an intention to accelerate.

Abstract: A lithium-air battery cell wherein the positive electrode includes a solid p-type electroactive organic catalyst lithium salt and a battery pack including several lithium-air battery cells. The use of a battery pack as a rechargeable battery for vehicles, such as electric vehicles and hybrid vehicles, electronic devices, and stationary power generating devices. Finally, a vehicle, an electronic device, and a stationary power generating device, including a battery pack.

Abstract: A remote control an automotive vehicle, the remote control including a 3-D shaped object, stretch sensors connecting the 3-D shaped object to a structure of the vehicle and a control unit configured to collect information from the stretch sensors, the remote control being configured to control a display of the automotive vehicle, the remote control being configured to be integrated in a stretchable fabric part of an interior of the vehicle.

Abstract: A neural network, a system using this neural network and a method for training a neural network to output a description of the environment in the vicinity of at least one sound acquisition device on the basis of an audio signal acquired by the sound acquisition device, the method including: obtaining audio and image training signals of a scene showing an environment with objects generating sounds, obtaining a target description of the environment seen on the image training signal, inputting the audio training signal to the neural network so that the neural network outputs a training description of the environment, and comparing the target description of the environment with the training description of the environment.

Abstract: A method for preparing a semiconducting thin film and device for carrying out the method, wherein the method includes: (1) providing a liquid-liquid interface; (2) providing at least one layered semiconductor material or its precursor(s) in the form of particles in a solvent in the form of a dispersion; (3) injecting the dispersion at the liquid-liquid interface, in order to obtain an assembly of semiconductor/semiconductor precursor particles; (4) bringing the assembly of into contact with a flexible substrate; and (5) applying a surface pressure to the dispersion to obtain a particle film of semiconductor/semiconductor precursor on the substrate, wherein the first solvent has a higher density than the second solvent.

Abstract: The present invention relates to a calcium-based secondary cell containing: an electrolyte arranged between the negative electrode and the positive electrode and comprising a calcium salt of a fluorine-containing anion of formula (XFn)m? wherein n is a positive integer of at most 6 and m is a positive integer of at least 1 and m<n, a positive-electrode active material at the positive electrode which is a one-dimensional structure accommodating Ca2+ ions and has the formula (1): Can+2Me1(n+1)?y?zMe2yMe3zO3n+3??(1) wherein: Me1, Me2, Me3 are different transition metals; 1?n and n is not necessarily an integer; 0?y and y is not necessarily an integer; 0?z and z is not necessarily an integer.

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: A process for preparing a catalyst material, includes the steps of: (a) providing a support material having surface hydroxyl (OH) groups, wherein the support material is ceria (CeO2), zirconia (ZrO2) or a combination of thereof; (b) reacting the support material having surface hydroxyl (OH) groups of step (a) with a precursor containing two transition metal atoms, each chosen independently from the group consisting of: W, Mo, Cr, Ta, Nb, V, Mn; (c) calcining the product obtained in step (b) in order to provide a catalyst material showing dual site surface species containing pairs of transition metal atoms derived from the precursor that are present in oxide form on the support material. Additionally, a catalyst material is obtained by the process set out above, and the catalyst material is used as an ammonia selective catalytic reduction (NH3-SCR) catalyst for nitrogen oxides (NOx) reduction.

Abstract: A process for preparing a catalyst material, includes: (a) providing a support material having surface hydroxyl (OH) groups, the support material is ceria (CeO2), zirconia (ZrO2) or a combination, and the support material contains between 0.3 and 2.0 mmol OH groups/g of the support material; (b) reacting the support material with at least one of: (b1) a compound containing at least one alkoxy or phenoxy group bound though its oxygen atom to a metal element from Group 5 (V, Nb, Ta) or Group 6 (Cr, Mo, W); (b2) a compound containing at least one hydrocarbon group bound though a carbon atom to a metal element from Group 5 or 6; (b3) a compound containing at least one hydrocarbon group bound though a carbon atom to a metal element which is copper (Cu); and (c) calcining the product obtained in step (b).

Abstract: A composition of general formula (1): Nax[MnaNibCrc]O2+y (1), wherein: 0.6?x?0.8; ?0.1?y?0.1; 0.55?a?0.7; 0.25?b?0.3; c?0.05; and a+b+c?1.0, an intermediate product for preparing a composition of general formula (1) and a process of synthesis, wherein the mixed sodium-transition metal oxide of general formula (1) may generally show an essentially or solely P2 structure, and may be used as a positive electrode material for a sodium ion secondary battery.

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 computer-implemented method for maintaining a driver's perceived trust level in an at least partially automated vehicle, comprising monitoring one or more parameters concerning the driver, the vehicle and/or a surrounding environment; predicting, based on the one or more parameters, a decrease in the perceived trust level; and carrying out one or more countermeasures to compensate for the predicted decrease in the perceived trust level.

Abstract: A system and a method for training a semantic segmentation model includes obtaining a plurality of sets of images each having an index z for visibility, iteratively training the model. Iteratively training the model includes (a) for each z above 1, obtaining preliminary semantic segmentation labels for each image of the set of images of index z?1 by applying the model to each image of the set of images of index z?1, (b) processing each preliminary semantic segmentation labels using semantic segmentation labels obtained using the model on a selected image of index 1, and obtaining processed semantic segmentation labels, (c) training the model using the set of images of index z?1 and the associated processed semantic segmentation labels, and (d) performing steps (a) to (c) for z+1.

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.