Abstract: A method of processing data for an autonomous vehicle, an electronic device, a storage medium, and an autonomous vehicle are provided. The method includes: acquiring sensor data for the autonomous vehicle, wherein the sensor data includes inertial measurement data, LiDAR data, and visual image data; determining a first constraint factor for the inertial measurement data according to the inertial measurement data and the visual image data; determining a second constraint factor for the LiDAR data according to the inertial measurement data and the LiDAR data; determining a third constraint factor for the visual image data according to the inertial measurement data, the visual image data and the LiDAR data; and processing the sensor data based on the first constraint factor, the second constraint factor and the third constraint factor, so as to obtain positioning data for positioning the autonomous vehicle.

Abstract: A magnetic pole module and a rotor for a permanent magnet generator are provided. The magnetic pole module includes a base plate having a first surface and a second surface arranged opposite to each other, the base plate has a first center line extending in the first direction and a second center line extending in the second direction, the first direction is intersected with the second direction, the first center line is parallel to the central axis of the permanent magnet generator; at least one pair of magnetic steel components is fixed on the base plate, and each pair of magnetic steel components is symmetrically arranged on the first surface with respect to the second center line, each magnetic steel component includes multiple magnetic steels arranged side by side along a side of the first direction from the second center line and arranged at a predetermined angle in the second direction.

Abstract: A method for fusing road data to generate a map, includes: determining benchmark road data and at least one road data to be fused in a target road area; establishing, successively for each road data to be fused, a first road element association relationship between the first sub road data and the benchmark road data; establishing a second road element association relationship between the second sub road data and the benchmark road data according to the first road element association relationship; and fusing the benchmark road data and the road data to be fused according to the above association relationships to update the benchmark road data.

Abstract: Exemplary positioning method and apparatus, a device, a system, a medium and a self-driving vehicle are provided. The positioning method includes determining, according to the current frame of point cloud data collected by a to-be-positioned terminal in a travelling environment, the current key point in the current frame of point cloud data and a point cloud distribution feature of the current key point; selecting, according to point cloud distribution features associated with reference key points in a global positioning map and the point cloud distribution feature of the current key point, a target key point matching the current key point from the reference key points; and determining, according to reference pose data associated with the target key point, the current pose data of the to-be-positioned terminal.

Abstract: A method for processing map data, a device, and a medium, which relates to a field of computer technology, in particular to fields of intelligent transportation technology and autonomous driving technology. The method for processing map data includes: acquiring an initial change information for a traffic object; acquiring incremental map data corresponding to the initial change information; determining, from the initial change information, a target change information based on the incremental map data and historical map data; and updating the historical map data based on the target change information.

Abstract: A fault tolerant processing environment wherein multiple processors are configured as worker nodes and redundant nodes, with a failed worker node replaced programmatically by a manager node. Each of the processing nodes may include a processor and memory associated with the processor and communicate with other processing nodes using a network. A manager node creates a message passing interface (MPI) communication group having worker nodes and redundant nodes, instructs the worker nodes to perform lockstep processing of tasks for an application, and monitors execution of the tasks. If a node fails, the manager node creates a replacement worker node from one of the redundant processing nodes and creates a new communications group. It then instructs those nodes in the new communications group to resume processing based on the application state and checkpoint backup data.

Abstract: Provided is an antibody, which is capable of specifically binding to a B-cell maturation antigen (BCMA). The provided BCMA antibody is capable of specifically binding to an extracellular fragment of the BCMA and has excellent affinity and specificity; and the antibody is a functional antibody and has the activity blocking binding of the BCMA with its ligand APRIL. Immune cells constructed based on the antibody has an excellent specific killing function for a BCMA-positive tumor cell.

Abstract: A rotor support, a rotor, a motor, and a wind turbine are provided. The rotor support includes a magnetic yoke and a reinforcement portion provided on a first side surface of the magnetic yoke; a second side surface of the magnetic yoke is configured to operably dispose a magnet of a rotor; the reinforcement portion covers each magnetic circuit area, which can generate a partial magnetic circuit, of the first side surface; the sum of the radial thicknesses of the reinforcement portion and the magnetic yoke overlapped is greater than a preset thickness, and the radial thickness of the magnetic yoke is less than the preset thickness.

Abstract: A high-definition map creation method includes: obtaining point cloud data collected with respect to a target region, the point cloud data including K frames of point clouds and an initial pose of each frame of point cloud, K being an integer greater than 1; associating the K frames of point clouds with each other in accordance with the initial pose to obtain a first point cloud relation graph of the K frames of point clouds; performing point cloud registration on the K frames of point clouds in accordance with the first point cloud relation graph and the initial pose to obtain a target relative pose of each frame of point cloud in the K frames of point clouds; and splicing the K frames of point clouds in accordance with the target relative pose to obtain a point cloud map of the target region.

Abstract: An apparatus includes a processor core and a memory hierarchy. The memory hierarchy includes main memory and one or more caches between the main memory and the processor core. A plurality of hardware pre-fetchers are coupled to the memory hierarchy and a pre-fetch control circuit is coupled to the plurality of hardware pre-fetchers. The pre-fetch control circuit is configured to compare changes in one or more cache performance metrics over two or more sampling intervals and control operation of the plurality of hardware pre-fetchers in response to a change in one or more performance metrics between at least a first sampling interval and a second sampling interval.

Abstract: Disclosed is a device with a stator and a rotor, the device comprising: a stator; a rotor, wherein an air gap is provided between the rotor and the stator, and an air gap protection device fixedly connected to the stator, wherein the radial distance between the air gap protection device and the rotor is less than the radial distance between thy stator and the rotor, and the air gap protection device rotates relative to the rotor when in contact with the rotor. By arranging the air gap protection device fixedly connected to the stator, the air gap protection device can rotate relative to the rotor when in contact with the rotor, and the radial distance between the air gap protection device and the rotor is less than the radial distance between the stator and the rotor.

Abstract: The present disclosure provides a point cloud data processing method, apparatus, electronic device and computer readable storage medium, which relates to computer vision technology and may be used for autonomous driving.

Abstract: A method of forming a structure having a coating layer includes the following steps: providing a substrate; coating a fluid on the surface of the substrate, where the fluid includes a carrier and a plurality of silicon-containing nanoparticles; and performing a heating process to remove the carrier and convert the silicon-containing nanoparticles into a silicon-containing layer, a silicide layer, or a stack layer including the silicide layer and the silicon-containing layer.

Abstract: Embodiments of the present disclosure provide a method and apparatus for evaluating data, a device, and a computer-readable storage medium in the field of autonomous driving. The method may include: generating, at least based on satellite navigation data related to a vehicle, a reference position and posture data set of the vehicle; generating, at least based on a part of the satellite navigation data, a test position and posture data set of the vehicle, the accuracy of the test position and posture data set being lower than that of the reference position and posture data set; obtaining a revised position and posture data set for the test position and posture data set; and evaluating, based on the reference position and posture data set and the revised position and posture data set, a correction performance for the test position and posture data set.

Abstract: A memory device having a DRAM core and a register stores first data in the register before receiving first and second memory access commands via a command interface and before receiving second data via a data interface. The memory device responds to the first memory access command by writing the first data from the register to the DRAM core and responds to the second memory access command by writing the second data from the data interface to the DRAM core.

Abstract: The present disclosure relates to a method for assembling a large-diameter electric motor, the method includes: a preparing step: providing two or more stator segments for forming a stator and two or more rotor support segments for forming a rotor support; a splicing step: splicing the two or more stator segments and the two or more rotor support segments in a predetermined manner to form the stator and the rotor support that are coaxially assembled, respectively, and maintaining a predetermined gap between the stator and the rotor support in a radial direction; and an assembling step: inserting a plurality of magnetic pole modules into the predetermined gap, and assembling the plurality of magnetic pole modules to a mounting surface of the rotor support. The method can avoid the influence of a magnetic pulling force at an air gap between the stator and a rotor on an assembling process, and can improve the convenience of assembling the large-diameter electric motor on site.

Abstract: The disclosure relates to an electric machine and an assembling method for an electric machine. The electric machine includes: a shaft assembly including a first shaft, a second shaft coaxially disposed within an inner circumference of the first shaft, and a bearing disposed between the first shaft and the second shaft; a first revolving body coaxially connected to the first shaft, wherein the first revolving body includes an annular first adapter bracket, and a tubular structural portion extending in an axial direction is disposed at an inner circumference of the first adapter bracket; a second revolving body coaxially connected to the second shaft and disposed around an outer circumference of the first revolving body; and a guiding assembly disposed between the tubular structural portion and the first shaft to restrict a movement of the first revolving body relative to the first shaft in a circumferential direction and a radial direction.

Abstract: The present disclosure provides a vehicle positioning method, an apparatus and an autonomous driving vehicle, relating to autonomous driving in the technical field of artificial intelligence, which can be applied to high-definition positioning of the autonomous driving vehicle, the method including: if there is no high-definition map in a vehicle, acquiring intermediate pose information of the vehicle based on a global navigation satellite system and/or an inertial measurement unit in the vehicle, and determining the intermediate pose information as global positioning information; acquiring local positioning information; performing fusion processing to the global pose information and the local pose information to obtain fused pose information; performing compensation processing to the fused pose information according to the global attitude angle information and the local attitude angle information to obtain a position of the vehicle.