Abstract: A positioning method based on a lane line and a feature point, an electronic device, and a storage medium, which relate to fields of computer, automatic driving, intelligent transportation, computer vision. The method may include: determining first real-time measurement residuals according to first sensor information of a movable object detected, the first real-time measurement residuals including a first inertial measurement unit measurement residual, a first lane line measurement residual and a first non-lane line measurement residual; updating a state vector of the movable object according to a kinematic model of an inertial measurement unit and the first real-time measurement residuals; and determining a pose of the movable object at a time instant corresponding to the updated state vector according to a pose vector in the updated state vector.

Abstract: The present application relates to a method and system for storing data in a graph database. The method includes: separating a key-value structure of the storage engine and separately storing a graph structure and a graph property of graph data; and reading, by the compute engine, the graph structure, caching the graph structure for a short term in a single query request scenario, and caching the graph structure for a long term in a read-only analysis scenario. The present application resolves problems that engineering is complex and deep graph traversal performance is poor when graph data is processed, reduces engineering complexity, and improves the deep graph traversal performance.

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 system may include a cluster and a module of the cluster. The module may include a user resource definition and a catalog server. The catalog server may maintain a configuration of the cluster.

Abstract: A method of controlling a temperature of water delivered by a water heating system, includes providing communication device which is adapted to receive a communication from at least one mobile device, the communication device being located so as to determine when the at least one mobile device is within a predefined zone in which is located a pre-selected water access point. In response to a determination that the at least one mobile device is within the predefined zone, enabling a user selecting a temperature setting of the where the water heating system. The selection is wirelessly communicated to a receiver which is in communication with the water heating system.

Abstract: In one embodiment, a method for extracting point cloud features for use in localizing an autonomous driving vehicle (ADV) includes selecting a first set of keypoints from an online point cloud, the online point cloud generated by a LiDAR device on the ADV for a predicted pose of the ADV; and extracting a first set of feature descriptors from the first set of keypoints using a feature learning neural network running on the ADV, The method further includes locating a second set of keypoints on a pre-built point cloud map, each keypoint of the second set of keypoints corresponding to a keypoint of the first set of keypoint; extracting a second set of feature descriptors from the pre-built point cloud map; and estimating a position and orientation of the ADV based on the first set of feature descriptors, the second set of feature descriptors, and a predicted pose of the ADV.

Abstract: An engine-and-electric-machine assembly includes an engine and an electric machine, a crankshaft being provided in the engine, the crankshaft including a main body and an extension section that extends out to the exterior of the engine, the extension section forming a rotation shaft of the electric machine, a rotor of the electric machine being mounted on the extension section, and a transition section being provided between the main body of the crankshaft and the extension section, wherein the rotor of the electric machine is connected to the transition section via a flange structure. By connecting the rotor of the electric machine and the crankshaft of the engine by using a flange, instead of using a key connecting structure, the strength of the connection between the rotor and the crankshaft can be improved, and optimize the moment of inertia of the transmission structure between the rotor and the crankshaft.

Abstract: In one embodiment, a method for solution inference using neural networks in LiDAR localization includes constructing a cost volume in a solution space for a predicted pose of an autonomous driving vehicle (ADV), the cost volume including a number of sub volumes, each sub volume representing a matching cost between a keypoint from an online point cloud and a corresponding keypoint on a pre-built point cloud map. The method further includes regularizing the cost volume using convention neural networks (CNNs) to refine the matching costs; and inferring, from the regularized cost volume, an optimal offset of the predicted pose. The optimal offset can be used to determine a location of the ADV.

Abstract: A method and system for checking data gathering conditions or image capturing conditions associated with images during AI based visual-inspection process. The method comprises generating a first representative (FR1) image for a first group of images and a second representative image (FR2) for a second group of images. A difference image data is generated between FR1 image and the FR2 image based on calculating difference between luminance values of pixels with same coordinate values. Thereafter, one or more of a plurality of white pixels or intensity-values are determined within the difference image based on acquiring difference image data formed of luminance difference-values of pixels. An index representing difference of data-capturing conditions across the FR1 image and the FR2 image is determined, said index having been determined at least based on the plurality of white pixels or intensity-values, for example, based on application of a plurality of AI or ML techniques.

Abstract: A method of controlling a temperature of water delivered by a water heating system, includes providing communication device which is adapted to receive a communication from at least one mobile device, the communication device being located so as to determine when the at least one mobile device is within a predefined zone in which is located a pre-selected water access point. In response to a determination that the at least one mobile device is within the predefined zone, enabling a user selecting a temperature setting of the where the water heating system. The selection is wirelessly communicated to a receiver which is in communication with the water heating system.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for positioning an autonomous vehicle. The method includes: matching a current point cloud projected image of a first resolution with a map of the first resolution to generate a first histogram filter based on the matching result; determining at least two first response areas in the first histogram filter based on a probability value of an element in the first histogram filter; generating a second histogram filter based on a result of matching a current point cloud projected image of a second resolution with a map of the second resolution and the at least two first response areas, the first resolution being less than the second resolution; and calculating a weighted average of probability values of target elements in the second histogram filter to determine a positioning result of the autonomous vehicle in the map of the second resolution.

Abstract: A power supply device and a charging control method are provided. The power supply device includes a first-stage conversion circuit and a second-stage conversion circuit; the first-stage conversion circuit is used for converting a received alternating current voltage into a pulsating direct current voltage, the voltage value of the pulsating direct current voltage being greater than the voltage value of the alternating current voltage; the second-stage conversion circuit is connected to the first-stage conversion circuit, and used for converting the pulsating direct current voltage to output a constant direct current voltage.

Abstract: A method and system for checking data gathering conditions or image capturing conditions associated with images during AI based visual-inspection process. The method comprises generating a first representative (FR1) image for a first group of images and a second representative image (FR2) for a second group of images. A difference image data is generated between FR1 image and the FR2 image based on calculating difference between luminance values of pixels with same coordinate values. Thereafter, one or more of a plurality of white pixels or intensity-values are determined within the difference image based on acquiring difference image data formed of luminance difference-values of pixels. An index representing difference of data-capturing conditions across the FR1 image and the FR2 image is determined, said index having been determined at least based on the plurality of white pixels or intensity-values, for example, based on application of a plurality of AI or ML techniques.

Abstract: An integrated microfluidic chip, wherein at least one integrated reaction unit is provided on its substrate, and the integrated reaction unit comprises at least a sample cell (1), a mixing cell (2) and a reaction cell (3) connected through liquid channels (6). In one aspect, one end of the sample cell (1) is provided with a sample inlet (4), and the chip further comprises an internal air circulating system/circuit. One end of the internal air circulating system/circuit is connected with the mixing cell (2), while the other end comprises at least a first circulation branch circuit connected with the end of the sample cell (1) distal to the sample inlet (4).

Abstract: Embodiments of the specification provide a human-computer interaction processing system, method, storage medium, and electronic device thereof. The method comprises: describing an interaction task in an interaction scenario; performing interaction process control for a current interaction input in the interaction scenario based on the interaction task; and determining an expected next interaction input in the interaction scenario corresponding to the current interaction input based on the interaction process control.

Abstract: Photonic controlled-phase gates that include a dipole emitter chirally coupled to a plurality of photonic qubit pairs in a waveguide are disclosed herein. Each photonic qubit pair includes a two-qubit state |xy, wherein the two-qubit state |xy comprises a combination of single-qubit states |0 and |1, and may be |00, |01, |10, and |11. The dipole emitter is configured to interact with the single-qubit state |0 to impose a ? phase shift, and the dipole emitter interacts with states |00, |01, and |10 to impose the ? phase shift.

Abstract: In one embodiment, a method for temporal smoothness in localization results for an autonomous driving vehicle includes: creating a probability offset volume that represents an overall matching cost between a first set of keypoints from the online point cloud and a second set of keypoints from a pre-built point cloud map for each of a series of sequential light detection and ranging (LiDAR) frames in an online point cloud. The method also includes compressing the probability offset volume into multiple probability vectors across a X dimension, a Y dimension and a yaw dimension; providing each probability vector of the probability offset volume to a number of recurrent neural networks (RNNs); and generating, by the RNNs, a trajectory of location results across the plurality of sequential LiDAR frames.

Abstract: The present disclosure provides a method, an apparatus, an electronic device and a storage medium for vehicle localization, which relates to the technical fields of autonomous driving, electronic map, deep learning, image processing, and the like. In the method, a computing device obtains an image descriptor map corresponding to a captured image of an external environment of a vehicle and a predicted pose of the vehicle when the captured image is captured; obtains a set of reference descriptors and a set of spatial coordinates corresponding to a set of keypoints of a reference image of the external environment; determines a plurality of sets of image descriptors corresponding to the set of spatial coordinates when the vehicle is in a plurality of candidate poses, respectively; determines a plurality of similarities between the plurality of sets of image descriptors and the set of reference descriptors; and updates the predicted pose based on the plurality of candidate poses and the plurality of similarities.