The present invention provides a data collection system comprising: a camera; a location module; a plurality of sensors; and a first processor communicatively coupled to the camera and the location module, the first processor programmed to: obtain a plurality of frames from the camera; obtain a plurality of locations from the location module; obtain a plurality of data measurements from the plurality of sensors; apply a previously trained first neural network model for identifying problematic road segments to frames captured by the camera; and if the first neural network model indicates that a frame is a problematic road segment, save the frame in association with a location provided by the location module.

Systems, devices, and methods for training a neural network and performing image interest point detection and description using the neural network. The neural network may include an interest point detector subnetwork and a descriptor subnetwork. An optical device may include at least one camera for capturing a first image and a second image. A first set of interest points and a first descriptor may be calculated using the neural network based on the first image, and a second set of interest points and a second descriptor may be calculated using the neural network based on the second image. A homography between the first image and the second image may be determined based on the first and second sets of interest points and the first and second descriptors. The optical device may adjust virtual image light being projected onto an eyepiece based on the homography.

A method of detecting occupants in a vehicle includes detecting an oncoming vehicle and acquiring a plurality of images of occupants in the vehicle in response to detection of the vehicle. The method includes performing automated facial detection on the plurality of images and adding a facial image for each face detected to a gallery of facial images for the occupants of the vehicle. The method includes performing automated facial recognition on the gallery of facial images to group the facial images into groups based on which occupant is in the respective facial images, and counting the final group of unique facial images to determine how many occupants are in the vehicle.

The present application provides a point cloud data processing method, an apparatus, a device, a vehicle, and a storage medium, the method includes: acquiring, according to a preset frequency, raw data collected by sensors on a vehicle; and performing, according to the raw data of the sensors, data fusion processing to obtain a fusion result. By acquiring, according to the preset frequency, the raw data collected by the sensors on the vehicle in a latest period, and performing the data fusion processing to obtain the fusion result, a synchronous clock source may be removed, a weak clock synchronization may be realized, and the cost may be effectively reduced. The preset frequency may be flexibly set, which, when set with a larger value, can reduce a time difference between the raw data of the sensors and improve data accuracy.

A method is for providing an aggregate algorithm for processing medical data. In an embodiment, a multitude of local algorithms are trained by machine learning. The training of each respective local algorithm is performed on a respective local system using respective local training data. A respective algorithm dataset concerning the respective local algorithm is transferred to an aggregating system that generates the aggregate algorithm based on the algorithm datasets.

Provided is a laser projection apparatus, a control method thereof, and a laser guidance system including the laser projection apparatus. The laser projection apparatus for projecting planned operation information of an insertion location and an insertion angle on a C-arm image photographed using a C-arm fluoroscopy device directly onto an affected part includes a line laser module configured to generate a line laser and to form a plane by rotating around an origin, a matching unit configured to calculate a coordinate representing the insertion location in a C-arm coordinate system based on C-arm fluoroscopy, calculate an insertional vector according to the coordinate representing the insertion location and the insertion angle, and calculate a vector perpendicular to the plane formed by the line laser in the C-arm coordinate system according to the insertional vector, and a control unit configured to control the line laser module based on the vector perpendicular to the plane.

Syntax parsing on a SQL statement is performed to determine whether an extended syntax identifier exists in the SQL statement, where the extended syntax identifier indicates a target computing service for the SQL statement. It is determined that the extended syntax identifier exists in the SQL statement. A computing service description statement in a first statement format is generated based on the SQL statement, where the first statement format is a statement format that can be recognized by a target computing framework. The computing service description statement is submitted to the target computing framework. Data queried by the SQL statement is invoked, in the target computing framework based on the computing service description statement, to perform target computation, where the SQL statement includes a computing element needed by the target computing service.

Systems, devices, and methods of the present invention detect rhetoric agreement between texts. In an example, a rhetoric agreement application accesses a multi-part initial query and generates a question communicative discourse tree that represents rhetorical relationships between fragments of the query. The application identifies a sub-discourse tree from the question communicative discourse tree. The application generates a candidate answer communicative discourse tree for each candidate answer of a set of candidate answers. The application computes a level of complementarity between the sub-discourse tree and each candidate answer discourse tree by applying a classification model to the sub-discourse tree and candidate answer communicative discourse trees. The application selects an answer from the candidate answers based on the computed complementarity, thereby building a dialogue structure of an interactive session.

A video recommendation method is provided, including: inputting a video to a first feature extraction network, performing feature extraction on at least one consecutive video frame in the video, and outputting a video feature of the video; inputting user data of a user to a second feature extraction network, performing feature extraction on the discrete user data, and outputting a user feature of the user; performing feature fusion based on the video feature and the user feature, and obtaining a recommendation probability of recommending the video to the user; and determining, according to the recommendation probability, whether to recommend the video to the user.

An electronic device configured to charge an occupant in a vehicle. The electronic device includes: an interface unit configured to exchange signals with at least one internal camera configured to capture at least one image of an inside of a cabin of the vehicle; at least one processor; and at least one computer memory that is operably connectable to the at least one processor and that has stored thereon instructions which, when executed, cause the at least one processor to perform operations including: receiving, through the interface unit, image data that was generated based on processing the at least one image of the inside of the cabin captured by the at least one internal camera; and generating cost charging data based on a motion of a user detected from the received image data.