Abstract: Systems and methods of cooperative autonomous driving which maximize objectives of a global traffic environment are provided. In particular, a cooperative controller may control multiple connected vehicles within a traffic environment. In certain embodiments, the cooperative controller may assign each connected vehicle a traffic role, based in part on their situation within the traffic environment. In some embodiments, this traffic role may also be based on a “priority level” for the connected vehicle which corresponds to a desired travel time. Once traffic roles have been assigned, the cooperative controller may control each connected vehicle according to a driving policy associated with its assigned traffic role.

Abstract: The disclosure includes embodiments for pedestrian navigation by a group of connected vehicles executing a collaborative computing process. In some embodiments, a method includes analyzing pedestrian data generated by a pedestrian device and sensor data generated by the group of connected vehicles to determine digital twin data from a set that correlates with a scenario described by the pedestrian data and the sensor data. The digital twin data is an output of a historical digital twin simulation. The method includes predicting, based on the digital twin data, that the pedestrian is at risk of a collision. The method includes determining modified path data describing a modified walking path for the pedestrian. The method includes transmitting the modified path data to the pedestrian device so that the pedestrian is informed about the modified walking path and the risk is modified.

Abstract: Described are systems and methods for substituting missing graph information caused during the transmission of graph information from one entity to another. In one example, a system includes a processor and a memory with machine-readable instructions that cause the processor to receive an incoming graph stream comprising a plurality of graphs having detected object information and at least one missing graph, transform the plurality of graphs into incoming embedded vectors having values that represent detected object information of the incoming graph stream, provide the embedded vector that corresponds to the at least one missing graph with a missing graph value, and substitute the missing graph value with a substitute value using a recurrent neural network that interpolates the substitute value using the incoming embedded vectors that are not equal to the missing graph value.

Abstract: A display apparatus includes a housing; a back plate on the housing; a metal bezel clamped with the back plate at a side of the back plate; a display module and a display driving board on a side of the back plate away from the housing. An insulating material layer is provided between the back plate and the display driving board, which directly increases an impedance of a path for static electricity from the back plate to the display driving board; a side of the display module is fixed to the metal bezel by an insulating member, indirectly increasing an impedance of a path of the static electricity entering the display driving board through the display module. Therefore, most of the static electricity is discharged through other paths with small impedance, so that the static electricity less enters a signal ground plane.

Abstract: System, methods, and other embodiments described herein relate to improving monitoring of traffic flows. In one embodiment, a method includes aggregating perception data associated with a road network from information sources to a server over a network. The method also includes generating a graph structure from the perception data in association with a neural network model. The graph structure is an incomplete representation of the road network in view of missing data. The method also includes completing the graph structure using the neural network model that forms a graph model of the traffic flows to de-noise the graph structure according to road constraints between two points in the road network. The method also includes communicating the graph model of the traffic flows to a vehicle to navigate traffic in the road network.

Abstract: A method for building a map includes: acquiring an original grayscale map, preprocessing the original grayscale map to obtain a preprocessed map, binarizing the preprocessed map to obtain a binarized map, performing a boundary filling to the preprocessed map and the binarized map to obtain a boundary-filled preprocessed map and a boundary-filled binarized map, performing a boundary thinning to the boundary-filled binarized map to obtain a thinned binarized map, and performing a boundary thinning to the boundary-filled preprocessed map, according to the thinned binarized map, to obtain a thinned preprocessed map.

Abstract: The present disclosure provides an autonomous mobile apparatus and a control method thereof. The method includes: starting a SLAM mode; obtaining first image data captured by a first camera; extracting a first tag image of positioning tag(s) from the first image data; calculating a three-dimensional camera coordinate of feature points of the positioning tag(s) in a first camera coordinate system of the first camera based on the first tag image; calculating a three-dimensional world coordinate of the feature points of the positioning tag(s) in a world coordinate system based on a first camera pose of the first camera when obtaining the first image data in the world coordinate system and the three-dimensional camera coordinate; and generating a map file based on the three-dimensional world coordinate of the feature points of the positioning tag(s).

Abstract: A transaction data processing method includes: receiving a first transaction document from a device of a transaction initiator, the first transaction document being associated with identity labels of a plurality of transaction participants; separately performing identity authentication on the plurality of transaction participants according to the identity labels of the plurality of transaction participants, to obtain an identity authentication result.

Abstract: A method for data sharing between a transmitter vehicle and a receiver vehicle includes obtaining sensor data, encoding the sensor data into structured data having a set of features and a set of channels, generating a channel attention map based on inter-channel relationships of the set of features, generating weights corresponding to channels of the channel attention map, selecting one or more channels among the set of channels based on the weights corresponding to the set of channels, and transmitting the selected channels to the receiver vehicle.

Abstract: The disclosure includes embodiments for asynchronous observation matching for object localization in connected vehicles. A method includes receiving a wireless message from the remote connected vehicle. The wireless message includes first observation data recorded by the remote connected vehicle and describing sensor measurements of the remote connected vehicle at a first time but not a second time. The method includes analyzing a set of vectors describing how a known object moves within a two-dimensional space to determine a two-dimensional flow of the known object in the two-dimensional space during a timespan. The method includes analyzing the two-dimensional flow of the object to infer a three-dimensional flow of the object in a three-dimensional space during the timespan. The method includes estimating second observation data recoded by the remote connected vehicle at the second time so that the impact of the latency is modified.

Abstract: Disclosed is wristband and wrist wearable device, including: a wristband body portion, one end is connected to one end of a device body of a wrist wearable device, and the other end is a free end; and a memory metal portion, which is arranged on the wristband body portion and has an arc-shaped memory state in a natural state, so that the wristband body portion is naturally maintained in an arc shape. The memory metal portion comprises a strip-shaped memory metal piece including a first metal segment, a second metal segment, and a third metal segment that are sequentially connected, the first metal segment and the third metal segment extend along a length direction of the wristband body portion in parallel, the second metal segment is arranged at the free end of the wristband body portion and is provided with at least one bent portion.

Abstract: The present application provides a method and device for controlling a generator-side terminal voltage of a converter, and a controller of the converter. The method includes: determining a target value upper limit of the generator-side terminal voltage based on a current voltage value of a direct-current (DC) bus of the converter, wherein the generator-side terminal voltage is a terminal voltage of a generator whose output terminal is connected to the converter; determining a target value of the generator-side terminal voltage that is able to minimize a generator-side current at present, and using the determined target value of the generator-side terminal voltage as an optimal target value of the generator-side terminal voltage, wherein the generator-side current is an output current of the generator; setting the target value of the generator-side terminal voltage based on the determined target value upper limit of the generator-side terminal voltage and the optimal target value.

Abstract: Disclosed is an oil-containing fiber-polymer self-lubricating composite material. The composite material includes a resin matrix and an oil-containing fiber dispersed in the resin matrix, wherein a mass ratio of the resin matrix to the oil-containing fiber is in the range of 100:(1-10); the resin matrix is a photocurable resin or a thermosetting resin; the oil-containing fiber comprises a natural fiber and a lubricating oil adsorbed in the natural fiber.

Abstract: System, methods, and other embodiments described herein relate to training a model to stylize low-light images for improved perception. In one embodiment, a method includes encoding, by a style model, an input image to identify first content information. The method also includes decoding, by the style model, the first content information into an albedo component and a shading component. The method also includes generating, by the style model, a synthetic image using the albedo component and the shading component. The method also includes training the style model according to computed losses between the input image and the synthetic image.

Abstract: A semiconductor device has shielding to prevent transmission and/or reception of EMI and/or RFI radiation. The semiconductor device comprises a substrate including grounded contact pads around a periphery of the substrate, exposed at one or more edges of the substrate. A bump made of gold or other non-oxidizing conductive material may be formed on the contact pads, for example using ultrasonic welding to remove an oxidation layer between the contact pads and the conductive bumps. The conductive bumps electrically couple to a conductive coating applied around the periphery of the semiconductor device.

Abstract: System, methods, and other embodiments described herein relate to training a prediction system for improving depth perception in low-light. In one embodiment, a method includes computing, in a first training stage, losses associated with predicting a depth map for a synthetic image of a low-light scene, wherein the losses include a pose loss, a flow loss, and a supervised loss. The method also includes adjusting, according to the losses, a style model and a depth model. The method also includes training, in a second training stage, the depth model using a synthetic representation of a low-light image. The method also includes providing the depth model.

Abstract: System, methods, and other embodiments described herein relate to improving depth prediction for objects within a low-light image using a style model. In one embodiment, a method includes encoding, by a style model, an input image to identify content information. The method also includes decoding, by the style model, the content information into an albedo component and a shading component. The method also includes generating, by the style model, a synthetic image using the albedo component and the shading component. The method also includes providing the synthetic image to a depth model.

Abstract: A visual positioning method and a mobile machine using the same are provided. The method includes: extracting a plurality of corner feature points corresponding to a current image; determining whether a distance between each pair of the plurality of corner feature points is less than a first preset threshold; if yes, determining whether a grayscale value of each of the plurality of corner feature points with the distance less than the first preset threshold is within a second preset threshold range; if yes, obtaining cluster set(s) of the corner feature points; screening a plurality of valid feature points from the cluster set(s); determining a positioning reliability based on a ratio of amount of the valid feature points to an amount of the plurality of corner feature points; and if the positioning reliability is within a preset range, performing a visual positioning based on the positioning reliability.