Abstract: This disclosure provides systems, methods, and devices for vehicle driving assistance systems that support image processing. In a first aspect, a method of image processing includes receiving, by a processor, image data from a camera image sensor; receiving, by the processor, point cloud data from a light detection and ranging (LiDAR) sensor; generating, by the processor and using a first machine learning model, fused image data that combines the image data and the point cloud data; and determining, by the processor and using a second machine learning model, whether the fused image data satisfies a criteria based on whether a population risk function of the first machine learning model exceeds a threshold. Other aspects and features are also claimed and described.

Abstract: The invention relates to a polymeric composite comprising poly(ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS), waterborne polyurethane (WPU) and a sugar alcohol, wherein the sugar alcohol is selected from the group consisting of glycerol, erythritol, threitol, arabitol, xylitol, ribitol, mannitol, sorbitol, galactitol, fucitol, iditol, inositol, volemitol, isomalt, maltitol, lactitol, maltotriitol, maltotetraitol, polyglycitol, or a combination thereof, and wherein the sugar alcohol is 20 wt % to 50 wt % of the polymer composite; an electrical device comprising such composite. The present invention also relates to methods of fabricating and its uses thereof. In particular, the present invention relates to intrinsically conductive polymer composites suitable for use in efficient dry/wet epidermal biopotential monitoring. The polymer composites are advantageously self-adhesive and stretchable, and can be used as dry electrodes.

Abstract: This disclosure provides systems, methods, and devices for vehicle driving assistance systems that support image processing. In a first aspect, a method of image processing includes receiving a plurality of image frames by a computing device and using machine learning models to identify corrupted or occluded image frames. A first machine learning model may identify corrupted image frames, while a second machine learning model may identify partially occluded image frames. The method may further include generating updated versions of image frames captured by vehicle cameras, such as based on feature vectors from the first and second machine learning models. The feature vectors may be fused and provided to a third machine learning model to generate updated versions of occluded image frames. The method may further include determining vehicle control instructions based on the updated versions. Other aspects and features are also claimed and described.

Abstract: Systems and methods for dynamic throttling of input/output queues in data storage device arrays are described. Data storage devices are connected through the slots and corresponding lanes of a storage interface switch. A storage controller uses a delay inserted between host submission queues and backend submission queues to manage the priority of host storage commands using slot groups.

Abstract: A spring brake actuator (1) for a vehicle, in particular a parking or emergency brake actuator, for use in a commercial vehicle, includes a cylinder housing (2) having a cylinder housing base (5) and a spring seat (7) on the base, a spring brake piston (9) located in the cylinder housing (5) for applying a braking force, and a compression spring (11) arranged between the spring seat (7) and the spring brake piston (9). The cylinder housing (2) is divided into a spring chamber (12) and a pressure chamber (14), the compression spring (11) being arranged in the spring chamber (12) and the pressure chamber (14) being supplied with pressurized fluid. An elastically deformable diaphragm (16) is sealingly mounted to the cylinder housing (2), with an inner periphery (18) sealingly mounted to the spring brake piston (9) to fluid-tightly isolate the pressure chamber (14) from the spring chamber (12).

Abstract: This disclosure provides systems, methods, and devices for vehicle driving assistance systems that support image processing. In a first aspect, a method is provided that includes determining a first set of feature vectors for received images for a top view representation of an area surrounding a vehicle and a second set of feature vectors for a cylindrical representation of the area. The method may further include determining a first set of locations based on the first set of feature vectors and determining a second set of locations based on the second set of feature vectors. A third set of locations may be determined based on the first and second sets of locations, such as combining the first and second sets using a transformer attention process. Vehicle control instructions may then be determined based on the third set of locations. Other aspects and features are also claimed and described.

Abstract: A data storage device and method are provided for using a dynamic floating flash region to secure a firmware update. In one embodiment, a data storage device is provided comprising a first non-volatile memory, a second non-volatile memory, and a controller. The controller is configured to communicate with the first and second non-volatile memories and further configured to: determine addresses in the second non-volatile memory to store portions of a firmware update, wherein the addresses are determined on-the-fly as opposed to being predetermined; and store the portion of the firmware update in the addresses in the second non-volatile memory. Other embodiments are provided.

Abstract: Infrared spectrometer and method of performing infrared spectrometry.

Abstract: This disclosure provides systems, methods, and devices for vehicle driving assistance systems that support image processing. In a first aspect, a method of image processing includes receiving first kinematic information associated with a camera image sensor; receiving, by the processor, point cloud data from a light detection and ranging (LiDAR) sensor; generating, by the processor, first image data that is time-synchronized with the point cloud data based on the first kinematic information and a neural radiance fields (NeRF) model; and generating, by the processor, fused data that combines the first image data and the point cloud data. Other aspects and features are also claimed and described.

Abstract: This disclosure provides systems, methods, and devices for vehicle driving assistance systems that support image processing. In a first aspect, a method is provided to train a machine learning model using image data and position data to identify contact points and ground surface normal vectors. Image data is received that depicts an object, and position data for the object is also received, such as point cloud position information for various points along the object's exterior surface. Two sets of labels may then be determined based on the position data, with one set identifying where the object contacts a ground surface and another identifying at least one normal vector for the ground surface. The machine learning model may then be trained based on both sets of labels to determine three-dimensional bounding boxes, normal maps, or combinations thereof. Other aspects and features are also claimed and described.

Abstract: This disclosure provides systems, methods, and devices for vehicle driving assistance systems that support image processing. In a first aspect, a method is provided that includes generating a top view image of an object using a plurality of images captured from different views. The method involves determining portions of the images that depict the object and generating novel views of the object from at least one novel view not present within the plurality of images. Corresponding portions containing an occluded view and an unobstructed view of the object are identified and corrected views for occluded views are determined based on corresponding unobstructed views using a machine learning model. A top view image may be then generated based on the corrected views. The invention enables improved visibility for autonomous driving systems in situations where objects are occluded or partially obstructed. Other aspects and features are also claimed and described.

Abstract: This disclosure provides systems, methods, and devices for vehicle driving assistance systems that support image processing. In a first aspect, a method is provided for determining the locations and bounding surfaces of objects depicted in image frames captured by fisheye image sensors attached to a vehicle. The method includes receiving raw fisheye image data from the sensor and using machine learning models to determine the locations and three-dimensional bounding surfaces of objects in the image frame. The bounding surfaces may be defined by three-dimensional polar coordinates representing portions of the viewing area of the fisheye image sensor. Control instructions for the vehicle may then be determined based on the bounding surfaces. In certain implementations, the bounding surfaces may be determined in three-dimensional polar coordinates. Other aspects and features are also claimed and described.

Abstract: Systems and methods are described herein for generating a playlist for a simultaneous presentation of a plurality of media assets. The system retrieves a user preference associated with a user profile and receives a selection of a first media asset and a second media asset from the plurality of media assets for presentation on a user device. The system parses the respective audio streams of the first media asset and the second media asset to identify one or more preferred audio segments based on the user preference and generates the playlist of the identified one or more preferred audio segments. Based on a generated audio playlist, the system generates, for presentation on the user device, the video stream for each of the first media asset and the second media asset and the playlist of the identified one or more preferred audio segments.

Abstract: This disclosure provides systems, methods, and devices for vehicle driving assistance systems that support image processing. In a first aspect, a method of fusing features from near-field images and far-field images is provided that includes determining feature vectors and spatial locations for received images from near-field and far-field image sensors. A first set of weighted feature vectors may be determined based on spatial locations of the features and a second set of weighted feature vectors may be determined based on corresponding features between the feature vectors. Fused feature vectors may then be determined based on the weighted feature vectors, such as using a transformer attention process trained to select and combine features from both sets of weighted feature vectors. Vehicle control instructions may be determined based on the fused feature vectors. Other aspects and features are also claimed and described.

Abstract: “Non-fungible anti-counterfeit photo-chromic nano-micro three-dimensional tags/labels are designed in such a manner that duplication and counterfeiting of the labels are prevented. The label comprises of a frame quick response (QR) code part (103), which surrounds a three-dimensional sticker part, which consists of a foundation paper (113) made of cellulose, a non-fungible three-dimensional (3D) structure and a fade-resistant transparent plastic sheet (201). The structure consists of multi-colored micro particles (107), silica-infused 3D macro particles (109) and the photo-chromic nano particles (111). The sheet is laminated on the paper after application of dense coating of particles.

Abstract: A crescent member is disclosed which is configured to be in constant contact with outer and inner gear teeth to prevent unwanted fluid backflow between the gears. The crescent member may be part of a low-pressure fuel pump system for a diesel engine. In order to reduce heat buildup in the crescent member and gear teeth, the crescent member comprises a gap to allow fluid to flow within the crescent member to absorb and dissipate the heat generated by friction. The crescent member is resilient to maintain constant contact, but flexible enough to reduce wear from friction over time.

Abstract: Described herein are technologies related to generating a predicted routine of a user of a mobile computing device. Location entries generated by the mobile computing device are processed to generate visit entries, wherein the visit entries are representative of visits made by the user to places over several days. An input sequence of states is constructed based upon the visit entries, wherein each state has a place identifier assigned thereto, and further wherein each state corresponds to a time interval of predefined length. A predicted routine of the user is generated based upon the input sequence of states.

Abstract: In some examples, a system receives, from a requesting entity, input information relating to a program to be deployed on a server system. The system establishes, based on the input information, an environment in the server system, where the environment is based on interaction with a subsystem of the server system, the subsystem of the server system to support one or more of fault tolerance for the program or scalability of the program in the server system. After establishing the environment of the subsystem of the server system, the system sends response information to the requesting entity, the response information useable by the requesting entity to manage the program when executed in the server system.

Abstract: Systems and methods for a computer-based process that determines content display preferences of nearby detected devices, and transmits content tracks to those devices according to their individual preferences. For example, language preferences are determined from nearby devices, and content is played with corresponding language tracks sent to each device. In this manner, different tracks of content may be sent to different devices according to each device's preferences, so that individualized or personalized versions of content may be played for each different device. Thus, for instance, content may be played with different language tracks, where each track is selected to conform to the preferences of each different device. Accordingly, content may be played with different users or viewers experiencing the content in their preferred language. Embodiments of the disclosure also contemplate any other settings and preferences besides language.

Abstract: Techniques for determining whether to send an MFA push notification are described. An indication of a request for a user account to access the application service via a primary device is received at an MFA service from an application service. Using a PAN protocol, determine whether the primary device and the secondary device are within a threshold proximity. When the primary device and the secondary device are within the threshold proximity, allows a push notification to be transmitted to the secondary device requesting authentication to grant access to the user account by the primary device, and when the primary device and the secondary device are not within the threshold, refrain from transmitting the push notification.