Abstract: The present invention relates to a method of preparing a black phosphorus nanosheet and application, belonging to the technical field of functional material production. In the method, the black phosphorus sheet is used as the electrolytic anode, and an electrochemical reaction system is constructed together with an inert electrode and an alkaline aqueous electrolyte, wherein the alkaline aqueous electrolyte comprises an N-N dimethylformamide solution dissolved with epoxy resin. In alkaline aqueous electrolyte, the prepared black phosphorus nanosheet structure tends to be more stable, not easy to be damaged and the oxidation degree is reduced. Under alkaline conditions, it is conducive to improve the intercalation and stripping effect of black phosphorus material of anode and make the black phosphorus exfoliation more complete.

Abstract: Provided is an electrolyte additive, including a compound of formula (1), wherein R1 is selected from a substituted or unsubstituted five-membered heterocyclic group, a substituted or unsubstituted six-membered heterocyclic group, or a substituted or unsubstituted amino group; L is a sulfone group, a sulfate ester group, or a sulfonate ester group; and R2 is selected from a substituted or unsubstituted C1-18 alkyl group, a substituted or unsubstituted C1-18 alkoxy group, a substituted or unsubstituted conjugated five-membered carbocyclic group or heterocyclic group, a substituted or unsubstituted conjugated six-membered carbocyclic group or heterocyclic group, a di(C1-6 alkyl)amino group, a di(C6-12 aryl)amino group, a tri(C1-6 alkyl)silyl group, a substituted or unsubstituted C3-6 alkenyl group, a substituted or unsubstituted C3-6 alkynyl group, or a substituted or unsubstituted ester group.

Abstract: A data denoising method and a related device are provided. According to the method, an artificial intelligence technology may be used to perform denoising on data, and any target denoising operation in at least one denoising operation performed on noisy data includes: generating, based on first prediction information and second prediction information, distribution information corresponding to the target denoising operation, where the first prediction information indicates predicted noise between second noisy data and clean data, the second prediction information indicates a square of the predicted noise between the second noisy data and the clean data or indicates a square of a predicted distance between the first prediction information and actual noise, and the actual noise includes actual noise between the second noisy data and the clean data; and sampling denoised data in distribution space to which the distribution information points.

Abstract: A touch sensor and display apparatus are provided. The touch sensor includes a first opening region, first touch electrodes extending along a first direction and second touch electrodes extending along a second direction; the touch sensor has a first region, a second region and a third region which are sequentially laid out in the second direction, the first opening region is in the second region; an area of a first touch sub-electrode in the first region is less than that of a first touch sub-electrode in the third region, or an area of a second touch sub-electrode in the first region is less than that of a second touch sub-electrode in the third region; a distance between two adjacent second touch sub-electrodes in the first region in the second direction is less than a distance between two adjacent second touch sub-electrodes in the third region in the second direction.

Abstract: The present invention relates to a subway vehicle electronic record system based on blockchain technology, which mainly includes business view module, record information maintenance module, statistical analysis module, record information management module, system management module, and blockchain foundation platform. The invention comprehensively makes use of blockchain, database and other technologies to normalize heterogeneous data of subway vehicle record.

Abstract: A system and a method include a maintenance control unit configured to: receive a fault message regarding one or more components of an aircraft, determine a priority from the fault message, determine one or more parts for maintenance from the fault message, and determine a time and a location for the maintenance based on the priority and location of the one or more parts.

Abstract: An autonomous vehicle includes: a plurality of side laser radars respectively provided on a plurality of side portions of the autonomous vehicle, each of the plurality of side laser radars being partially embedded in a corresponding side portion of the plurality of side portions; and a top laser radar provided on a top portion of the autonomous vehicle and configured to obtain environmental information around the autonomous vehicle together with the plurality of side laser radars. By providing the plurality of laser radars, a sensing blind spot of the autonomous vehicle may be avoided.

Abstract: According to one embodiment, a dynamic parameter server is provided in an ADV to update parameters of an autonomous driving system (ADS) of the ADV in real time without requiring the reboot of the ADS. The dynamic parameter server can obtain new parameters from a configuration file created by users based on their experiences and expectations. Each new parameter is mapped to certain physical conditions. When the ADV encounters the physical conditions mapped to a particular parameter, the dynamic parameter server can broadcast the new parameters to the ADS, which can use the new parameters to control the ADV. The physical conditions can be used as selection factors for the dynamic parameter to determine which ADS parameter to update.

Abstract: Disclosed are a graph instruction processing method and apparatus, which relates to the field of computer technologies One example method includes: detecting whether a first graph instruction has a conditional instruction element; and when the first graph instruction has the conditional instruction element, determining that the first graph instruction is a conditional execution instruction, and processing the first graph instruction when both data flow information and control flow information of the first graph instruction are in a ready state; or when the first graph instruction does not have a conditional instruction element, determining that the first graph instruction is a non-conditional execution instruction, and processing the first graph instruction when data flow information of the first graph instruction is in a ready state.

Abstract: Embodiments of the present disclosures disclose a method and a system to notify an operator that perception sensors of an autonomous driving vehicle (ADV) need to be recalibrated. In one embodiment, a system perceives a surrounding environment of an autonomous driving vehicle (ADV), including one or more obstacles. The system extracts feature information from previously stored point clouds mapping a three-dimensional surrounding environment of the ADV. The system identifies one or more matching features between the extracted feature information and features of the one or more obstacles. The system determines an average offset distance based on each of the matching features. The system determines an average offset distance distribution based on the average offset distance over a period of time. The system sends an alert to the ADV to alert that the one or more sensors is recommended for recalibration if the average offset distance distribution satisfies a predetermined condition.

Abstract: A driving environment is perceived based on sensor data obtained from a plurality of sensors mounted on an ADV. A first set of features is extracted from the sensor data representing the driving environment, where the first set of features include one or more obstacles moving relative to the ADV. A precaution notification is generated by applying a precautionary slowdown predictive model to the first set of features and a second set of features determined based on internal states of the ADV. In response to the precaution notification, a speed planning is performed to lower a speed limit of the ADV to a predetermined percentage of the speed limit. The ADV is controlled to drive autonomously according to the lowered speed limit to perform a precautionary slowdown.

Abstract: In response to a request to park an ADV in a parking lot, a set of parking-trajectories associated with a set of predetermined locations near one or more parking spots in the parking lot may be obtained, where the set of parking-trajectories was previously generated based on prior collected planning and control data of the parking lot. Each parking-trajectory of the set of parking-trajectories may correspond to one parking spot of the one or more parking spots in the parking lot. A parking-trajectory may be selected from the set of parking-trajectories based on a current location of the ADV. The ADV may be controlled to park in a corresponding parking spot according to the selected parking-trajectory.

Abstract: Embodiments of the present disclosures disclose a method and a system to generate a path planning trajectory with a random lateral shift for an autonomous driving vehicle (ADV). In one embodiment, a system generates a reference line to navigate the ADV from a start location to a destination location. The system determines a lateral shift distance value to shift a lane center for the reference line. The system generates a shifted trajectory using the reference line based on the lateral shift distance value. The system controls the ADV based on the shifted trajectory to navigate the ADV.

Abstract: This application discloses a processor, a processing method, and a related device. The processor includes a processor core. The processor core includes an instruction dispatching unit and a graph flow unit and at least one general-purpose operation unit that are connected to the instruction dispatching unit. The instruction dispatching unit is configured to: allocate a general-purpose calculation instruction in a decoded to-be-executed instruction to the at least one general-purpose calculation unit, and allocate a graph calculation control instruction in the decoded to-be-executed instruction to the graph calculation unit, where the general-purpose calculation instruction is used to instruct to execute a general-purpose calculation task, and the graph calculation control instruction is used to instruct to execute a graph calculation task. The at least one general-purpose operation unit is configured to execute the general-purpose calculation instruction.

Abstract: A computer-implement method for operating an ADV is disclosed. A starting point and an ending point of a route along which an ADV is to be driven is determined. Whether each of the starting point and the ending point is within a first driving area having a lane boundary or a second driving area as an open space is determined. The route is divided into a first route segment and a second route segment. Dependent upon whether the starting point or the ending point is within the first driving area or the second driving area, the method comprises operating in one of an on-lane mode or an open-space mode to plan a first trajectory for the first route segment and operating in one of the on-lane mode or the open-space mode to plan a second trajectory for the second route segment.

Abstract: Embodiments of a system/method is disclosed to operate an autonomous driving vehicle (ADV). In one embodiment, a system perceives a driving environment surrounding the ADV using a plurality of sensors mounted on the ADV including one or more obstacles. The system receives traffic signal information from one or more traffic indicators identified within a predetermined radius of the ADV. For each of the one or more obstacles, the system determines if the obstacle is situated on a lane with traffic flow coordinated by the one or more traffic indicators. The system predicts a behavior of the obstacle based on the traffic signal information for the lane. The system plans a trajectory based on the predicted behaviors for the one or more obstacles to control the ADV based on the planned trajectory.

Abstract: A weight adjustable dumbbell, which includes a connecting bar and a supporting base. Two sides of the supporting base are has a receiving groove, respectively. A plurality of dumbbell plates opposite to each other are located in the receiving grooves along an axial direction, a notch is located on each of the dumbbell plates for inserting the connecting bar, a slot opposite to the connecting bar is defined on an inner wall of the notch, fasteners opposite to the dumbbell plates are set on the connecting bar along the axial direction, the fasteners at an end of the connecting bar are arranged spirally along the axial direction at equal angles. The plurality of fasteners can connect to the slot of the dumbbell plates sequentially by rotating the connecting bar, and the dumbbell plates are detachably connected to limiting parts that can limit the rotation of the connecting bar.

Abstract: A starting point, a set of one or more way points, and a destination point of a route along which the ADV is to be driven are determined. All lane segments near the starting point, the set of way points, and the destination point within a predetermined threshold distance are determined respectively. A set of route candidates are determined with an A-star (A*) searching algorithm based on a set of nodes representing all the lane segments near the starting point, the set of way points, and the destination point respectively. The route is selected from the set of route candidates based on respective costs of the set of route candidates. The ADV is being controlled to drive along the selected route autonomously.

Abstract: Embodiments of the present invention disclose a matrix multiplier, and relate to the field of data computing technologies, so as to divide two matrices into blocks for computation. The matrix multiplier includes: a first memory, a second memory, an operation circuit, and a controller, where the operation circuit, the first memory, and the second memory may perform data communication by using a bus; and the controller is configured to control, according to a preset program or instruction, a first matrix and a second matrix to be divided into blocks, and control the operation circuit to perform a multiplication operation on corresponding blocks in the first memory and the second memory based on block division results of the controller. The matrix multiplier may be configured to perform a multiplication operation on two matrices.