Abstract: A lane changing method, device for a driverless vehicle and a computer-readable storage medium are provided. The lane changing method includes: determining candidate lanes, to which a lane changing is to be performed, based on a travelling intention of a main vehicle; screening the candidate lanes based on lane changing conditions of the candidate lanes; selecting, from the screened candidate lanes, a target lane, to which the lane changing of the main vehicle is to be performed; determining whether the lane changing of the main vehicle from a current lane to the target lane is safe; and performing the lane changing, if the lane changing is determined to be safe.

Abstract: Embodiments of the disclosure disclose a system, method and apparatus for displaying information. A specific embodiment of the method comprises: acquiring currently displayed information, the currently displayed information including an image; associating an augmented reality AR display identifier with the currently displayed information, in response to a preset object in a preset object set existing in the image; displaying the image associated with an AR play identifier, in response to receiving a request for browsing the currently displayed information associated with the AR display identifier from a user; acquiring AR image data of the preset object existing in the image from a server, in response to receiving a request for browsing the image associated with the AR play identifier from the user; and displaying an AR image of the preset object existing in the image based on the AR image data of the preset object existing in the image.

Abstract: The present disclosure discloses a method, apparatus and server for providing a voice service. The method includes: receiving a request message for providing a target voice service to a device end that has accessed a third-party voice service, the request message including a request content and status information of the device end; acquiring a response message generated after processing the request content based on the status information, the response message including an operation instruction; and sending the response message to the device end. The request message and response message are generated according to a message format configured in a constructed data service framework model of the target voice service, and transmitted based on a transport protocol configured in the constructed data service framework model; and the message format is consistent with that of the third-party voice service, and the transport protocol is consistent with that of the third-party voice service.

Abstract: A speech synthesis method and device. The method comprises: determining language types of a statement to be synthesized; determining base models corresponding to the language types; determining a target timbre, performing adaptive transformation on the spectrum parameter models based on the target timbre, and training the statement to be synthesized based on the spectrum parameter models subjected to adaptive transformation to generate spectrum parameters; training the statement to be synthesized based on the fundamental frequency parameters to generate fundamental frequency parameters, and adjusting the fundamental frequency parameters based on the target timbre; and synthesizing the statement to be synthesized into a target speech based on the spectrum parameters, and the fundamental frequency parameters after adjusting.

Abstract: A method and apparatus for fusing point cloud data, and a computer readable storage medium are provided. Some embodiments of the method can include: acquiring a first image and a second image, the first image and the second image being respectively associated with a first frame of point cloud data and a second frame of point cloud data acquired for a given scene; determining a point cloud movement matrix between the first frame of point cloud data and the second frame of point cloud data on the basis of the first image and the second image; and fusing the first frame of point cloud data with the second frame of point cloud data on the basis of the point cloud movement matrix.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for augmenting reality. A specific embodiment of the method includes: acquiring outline data of a plurality of building blocks satisfying a preset selection condition, the outline data being used to describe an outline of a building block in three-dimensional space; generating reference information based on projected line segments of the plurality of building blocks; determining, based on the reference information, a target building block in the plurality of building blocks and a superimposed region in an image acquired by the terminal, labeling information of the target building block being superimposed on the superimposed region; and superimposing the labeling information of the target building block on the determined superimposed region, to obtain an augmented reality image.

Abstract: A method and apparatus for identifying an intersection in an electronic map, and a computer readable medium are provided. An embodiment of the method includes: acquiring boundary information related to road boundaries from an electronic map; determining a topological relationship between the road boundaries in an area having a predetermined size in the electronic map based on the boundary information; and determining a distribution of an intersection in the area based on the topological relationship. The apparatus corresponding to the method, the device implementing the method of the present disclosure, and the computer readable medium are also provided. Through the technical solutions, the intersection may be automatically identified by detecting the road boundaries, which improves the efficiency of producing a high-precision map, and has the advantage of high accurate recall rate, strong universality, or simple method.

Abstract: The present disclosure provides an electronic device-awakening method and apparatus, a device and a computer-readable storage medium. In embodiments of the present disclosure, the user's speech wakeup instruction which is used to awaken the electronic device is obtained, and then an audio data file is selected from at least two audio data files according to the speech wakeup instruction, as a wakeup answer file of the electronic device, so that the wakeup answer file of the electronic device can be played. Since there are more than one selectable audio data files, many types of prompt tones can be provided, thereby achieving the purpose of providing many types of wakeup prompts.

Abstract: The present disclosure provides a method and apparatus for building a text classification model, and a text classification method and apparatus. The method of building a text classification model comprises: obtaining a training sample; obtaining a vector matrix corresponding to the text, after performing word segmentation for the text based on an entity dictionary; using the vector matrix corresponding to the text and a class of the text to train a first classification model and a second classification model respectively; during the training process, using a loss function of the first classification model and a loss function of the second classification model to obtain a loss function of the text classification model, and using the loss function of the text classification model to adjust parameters for the first classification model and the second classification model, to obtain the text classification model formed by the first classification model and the second classification model.

Abstract: A method and a device for processing an audio signal in a vehicle are provided. The method includes: obtaining an audio signal by a microphone array; performing echo cancellation on the obtained audio signal, to obtain a first processed signal; and performing beamforming on the first processed signal according to sound zones in which microphones of the microphone array are located, to obtain a second processed signal, wherein the vehicle includes at least two sound zones, and each microphone of the microphone array is located in at least one sound zone. With the beamforming, the requirements for isolation degree between different sound zones is not high, and the sound source of the audio signal can be accurately determined.

Abstract: In a specific implementation of the method a reflectance map is constructed based on a position and an Euler angle, obtained through a global optimization and used for constructing a reflectance map, of a center of a laser radar corresponding to each frame laser point cloud used for constructing the reflectance map collected in each collection region. This implementation implements the level-by-level pose optimization of laser point clouds used for constructing a reflectance map that are collected in each collection region in an excessively large region, to obtain an accurate position and Euler angle, used for constructing the reflectance map, of a laser radar center corresponding to each frame laser point cloud used for constructing the reflectance map.

Abstract: Embodiments of the present disclosure provide a method and a device for training an acoustic model, a terminal device and a storage medium. The method includes: displaying a content card associated with an application function on a screen of a terminal device; and performing a switching operation on the content card currently displayed on the screen when detecting that a preset switching condition is satisfied.

Abstract: The present application discloses a method and apparatus for inputting a text. An embodiment of the method comprises: receiving a prompt text from a connected backend server, the prompt text including a defined content segment and a user name of a user logged on the server; acquiring the user name of the user from login information of the user; extracting the defined content segment from the prompt text based on the acquired user name; distributing characters in the prompt text randomly to virtual keys on a virtual keyboard; displaying a typed character, in response to an operation by the user to type a character based on the prompt text by clicking a virtual key. The embodiment enables quick and accurate input of a prompt text.

Abstract: The present disclosure discloses a method and apparatus for verifying information. The method includes: acquiring a target combination of question and answer, the target combination of question and answer comprising a question and an answer to the question; sending the question in the target combination of question and answer to a terminal device; receiving to-be-confirmed voice information sent by the terminal device, and recognizing the to-be-confirmed voice information to generate a to-be-confirmed answer; and determining that the to-be-confirmed voice information is verified, if the to-be-confirmed answer matches the answer in the target combination of question and answer.

Abstract: An information sharing method, apparatus and system applicable to an unmanned vehicle and a device. A specific embodiment of the method includes: collecting travel information of an unmanned vehicle, the travel information being configured to indicate a travel state of the unmanned vehicle; determining driving control information adapted to the travel information, and controlling the unmanned vehicle by using the driving control information; and sending the travel information, the driving control information and a safety sign for indicating the unmanned vehicle being in a safe state to a server, in response to determining the unmanned vehicle being in the safe state, to enable the server to push the travel information, the driving control information and the safety sign to an unmanned vehicle in the travel state indicated by the travel information. The present embodiment achieves an improvement of the driving control efficiency of the unmanned vehicle.

Abstract: A method and apparatus of recognizing a field of semantic parsing information, a device and a readable medium. The method includes: obtaining at least one preset keyword extracting pattern which is in a preset field and used to parse user-input speech data to generate semantic parsing information, each of the at least one preset keyword extracting pattern; obtaining subject weights of keywords according to importance degree identifiers of the keywords in the preset keyword extracting patterns; calculating a subject score of the speech parsing information according to the subject weights of the keywords; recognizing whether the speech parsing information belongs to the preset field according to the subject score of the speech parsing information. The method recognizes the field to which the speech parsing information belongs to ensure correctness of the recognized field, and thereby ensure correctness of operations performed by the App according to the semantic parsing information.

Abstract: An object of this disclosure is to provide a technology for providing 3D reading scenarios. The technology includes: acquiring, in a VR reading mode, corresponding 3D scenario information based on a literature work currently read by a user; and establishing, in cooperation with VR glasses, a 3D reading scenario for the literature work based on the 3D scenario information. Compared with the existing technologies, this disclosure can acquire the corresponding 3D scenario information based on the literature work, and establish the 3D reading scenario for the literature work using the 3D scenario information. Moreover, this disclosure in cooperation with VR glasses further realizes an immersed reading experience by reading literature works in a 3D scenario. This not only improves the monotone disadvantage of the traditional reading scenario, but also brings users into an immersed reading environment in the reading process, and greatly enhances the users' reading experience.

Abstract: A method for building the synonymy discriminating model comprises: obtaining a text pair in training samples; using a word vector dictionary to obtain a quantization matrix of texts in the text pair; regarding the quantization matrix of respective texts as input of a convolutional neural network, regarding a synonymy annotation result corresponding to the text pair as output of the convolutional neural network, and training the convolutional neural network to obtain a synonymy discriminating model. The method for discriminating the synonymous text comprises: obtaining a text pair to be discriminated; using a word vector dictionary to obtain a quantization matrix corresponding to texts in the text pair; regarding the quantization matrix of the texts as input of a synonymy discriminating model, and determining a synonymy discrimination result of the text pair according to output of the synonymy discriminating model.

Abstract: A voice identification method, device, apparatus, and a storage medium are provided. The method includes: receiving voice data; and performing a voice identification on the voice data, to obtain first text data associated with the voice data; determining common text data in a preset fixed data table, wherein a similarity between a pronunciation of the determined common text data and a pronunciation of the first text data meets a preset condition, wherein the determined common text data is a voice identification result with an occurrence number larger than a first preset threshold; and replacing the first text data with the determined common text data. Voice identification accuracy is improved.

Abstract: A method, a system and a terminal for identity authentication, and a computer readable storage medium are provided. The method includes: acquiring a human body image of a person to be authenticated, and determining from the human body image a plurality of skeleton key points of the person to be authenticated; converting the skeleton key points into feature data, and combining the feature data to form physique feature information characterizing the person to be authenticated; processing the physique feature information using a physique feature model by inputting the physique feature information into the physique feature model, to obtain a processing result; and recognizing the identity of the person to be authenticated based on the processing result of the physique feature model.