Abstract: A method for tracking a non-connected vehicle is provided. The method includes obtaining one or more features of the non-connected vehicle, assigning an ID to the non-connected vehicle, the ID including information about the one or more features of the non-connected vehicle, predicting one or more locations of the non-connected vehicle in response to the non-connected vehicle being out of a field of view of a connected vehicle at a first location, identifying a vehicle at a second location, the second location corresponding to one of the predicted one or more locations, and determining whether the identified vehicle at the second location corresponds to the non-connected vehicle based on a comparison of one or more features of the identified vehicle and the ID.

Abstract: In an example embodiment, a computer-implemented method generates, using first machine learning logic, a first compact representation of a first object in a first image captured from a first perspective; generates, using second machine learning logic, a second compact representation of a second object in a second image captured from a second perspective; computes a similarity score reflecting a level of similarity between the first compact representation of the first object and the second compact representation of the second object; and identifies a subset of features of the first object and the second object as being more determinative than other features of the first object and the second object based on a comparison of the similarity score to a predetermined target output.

Abstract: The present disclosure provides a touch screen and a pressure-sensitive touch method, and a display apparatus. In one embodiment, a touch screen includes: a touch sensing layer including a touch sensing area configured to sense touch information of a touch action; a pressure sensing layer including a pressure sensing area including a plurality of photosensitive devices therein, the pressure sensing area configured to sense pressure information of the touch action, the photosensitive devices being configured to receive optical signals from a light-emitting side of the touch screen and convert the optical signals into electrical signals; and a processor configured to process the electrical signals converted by the photosensitive devices and output corresponding pressure information, the pressure information at least comprising a pressure strength of the touch action.

Abstract: Embodiments of the present disclosure provide a splicing screen debugging method, a splicing screen and a splicing wall.

Abstract: An embodiment of the present disclosure takes the form of a method carried out by a perception-network device. The perception-network device provides a first perspective view of a scene to a first branch of a neural network, and generates a feature map via the first branch based on the first perspective view. The perception-network device augments the generated feature map with features of a complementary feature map generated by a second branch of the neural network provided with a second perspective view of the scene. The perception-network device generates a perception inference via the neural network based on the augmented feature map.

Abstract: Embodiments of this disclosure disclose a resource transfer data management method and apparatus, and a storage medium, which belong to the field of Internet technologies. The method includes: receiving transaction data transmitted by a first server, wherein the transaction data is obtained by the first server by signing resource transfer data according to a private key of the first server; verifying the transaction data according to a public key of the first server; and generating a second block according to the transaction data and a feature value of a first block in a blockchain when the verification succeeds, and adding the second block as a next block of the first block to the blockchain.

Abstract: The present disclosure relates to a system for controlling deformation of a flexible screen, configured to control the deformation of the flexible screen, the flexible screen including: a flexible screen body, a metal layer attached to a back surface of the flexible screen body, and a current controlled deformation layer coated on the metal layer; the flexible screen further including a power supply circuit, and a current regulation circuit through which the power supply circuit is coupled to the metal layer; and the system including: a hardness regulation circuit, configured to control intensity of current flowing in the metal layer to soften the current controlled deformation layer. The above system for controlling deformation of a flexible screen can control the flexible screen to be deformed to have a desired shape.

Abstract: In an example embodiment, a first vehicle platform includes a first sensor that has a first perspective directed toward an external environment and that captures first sensor data reflecting first objects, and a communication unit for receiving second sensor data from a second vehicle platform that reflects second objects included in the external environment. One or more computing devices extract a first set of multi-modal features from the first objects, and a second set of multi-modal features from the second objects in the second image, process the first set of multi-modal features and the second set of multi-modal features using separate machine learning logic to produce a first output and a second output, respectively, generate a similarity score using the first output and the second output; and associate the first and second perspectives using the similarity score.

Abstract: In a transaction method, transaction information is obtained. The transaction information includes a type identifier and quantity of first assets, and a type identifier and quantity of second assets. Transaction records, corresponding to a transaction in a block, are stored upon verification of the transaction information. The transaction records include first and second transaction records. The first transaction record includes first input and output items corresponding to the first assets, and the first input and output items each includes the type identifier of the first assets. The second transaction record includes second input and output items corresponding to the second assets, and the second input and output items each includes the type identifier of the second assets. The block is broadcasted to other nodes in the blockchain network, and verification results are received. The block is added to a blockchain of a current node based on the verification results.

Abstract: A method for electing a representative node device performed by a first node device in a blockchain system includes: broadcasting candidate addition transaction data in the blockchain system, the candidate addition transaction data carrying credential data, the credential data being received from a target server and indicating that a first node device meets a qualification requirement for a candidate node device; storing the candidate addition transaction data on a target blockchain of a blockchain system when a plurality of node devices in the blockchain system verify the candidate addition transaction data by consensus; and participating in an election of the representative node device according to the candidate addition transaction data stored on the target blockchain.

Abstract: A data backup method includes querying a first block of a first blockchain for unused transaction output information based on a first condition being met, the first block including each block of all blocks included in the first blockchain; generating transaction information according to the unused transaction output information obtained based on the querying, the transaction information indicating a transaction operation based on an account address to which the unused transaction output information belongs; recording the transaction information in a second block and releasing the second block, and recording the second block on which a consensus is reached on a second blockchain; and backing up the first blockchain into a storage system, and deleting the first blockchain. Counterpart apparatus, terminal, server, and/or non-transitory computer-readable medium are also contemplated.

Abstract: A method for electing a representative node device for a blockchain system includes: receiving IP address information of a first node device, the first node device being in a candidate state for a representative node device; receiving, from the first node device, an IP address obtaining request for requesting IP address information of a representative node device; when the first node device is determined to be a representative node device of the blockchain system elected in a current election process, transmitting, to the first node device, an IP address list comprising IP address information of representative node devices elected in the current election process; and when the first node device is determined not to be a representative node device of the blockchain system elected in the current election process, skipping the IP address obtaining request.

Abstract: A method for electing a representative node device is performed at a blockchain system, including: obtaining voting transaction data from the node devices, the voting transaction data being used for voting for one or more node devices of the blockchain system as representative node devices; generating and storing the voting transaction data into a target blockchain of the blockchain system when a plurality of node devices of the blockchain system verify the voting transaction data by consensus; and when a quantity of blocks in the target blockchain generated using the voting transaction data reaches a preset quantity, determining an election result according to quantities of votes of the node devices determined from the voting transaction data, the election result identifying a plurality of representative node devices in the blockchain system being configured to generate new blocks for the target blockchain and perform verification on the new blocks by consensus.

Abstract: A method of improving efficiency of a vehicle behavior controller using a traffic state estimation network is described. The method includes feeding an input of a feature extraction network of the vehicle behavior controller with a sequence of images. The sequence of images include a highway section and corresponding traffic data. The method also includes disentangling an estimated behavior of a controlled ego vehicle. by the traffic state estimation network. The traffic state estimate network disentangles the estimated of the controlled ego vehicle from extracted traffic state features of the input provided by the feature extraction network. The method further includes selecting an action to adjust an autonomous behavior of the controlled ego vehicle according to the estimated behavior of the controlled ego vehicle.

Abstract: Embodiments of this application relate to a digital certificate management method performed at a computer device. The method includes: receiving a digital certificate generation request submitted by a certificate application node; transmitting identification information to consensus authentication centers for certification to obtain certification results obtained by the consensus authentication centers from performing the certification according to the identification information; determining an identification result corresponding to the certificate application node according to the certification results of the consensus authentication centers; generating, when the certification succeeds, a target digital certificate corresponding to the certificate application node submitting the digital certificate generation request; and writing the target digital certificate as a transaction resource into a blockchain associated with the consensus authentication centers.

Abstract: A method receives a captured image depicting image content including an object, the captured image being captured by an image sensor located at a sensor position; generates, using a trained first machine learning logic, a lighting-corrected image from an imitative simulation image depicting at least a portion of the image content of the captured image in a simulation style associated with an environment simulator; generates, using a trained second machine learning logic, a depth estimation image from the lighting-corrected image, the depth estimation image indicating a relative distance between the object depicted in the captured image and the sensor position of the image sensor; and determines an object position of the object depicted in the captured image based on the depth estimation image.

Abstract: A connected vehicle includes a first sensor that captures first sensor data to identify one or more dynamics of the connected vehicle, and a second sensor that has a first perspective directed toward an external environment and captures second sensor data reflecting an unconnected vehicle and one or more roadside infrastructures. The second sensor data from the connected vehicle is processed to identify the unconnected vehicle and the one or more roadside infrastructures, and to determine one or more dynamics of the unconnected vehicle. A dynamic road map is generated based on the determined one or more dynamics of the connected vehicle, the one or more dynamics of the unconnected vehicle, and the one or more roadside infrastructures. The first vehicle platform, the second vehicle platform, and/or another vehicle platform relative to the first vehicle platform or the second vehicle platform may be navigated based on the dynamic road map.

Abstract: Embodiments of this application relate to a digital certificate verification method and apparatus, a computer device, and a storage medium. The digital certificate verification method is performed by a authentication center, and include receiving a verification request for verifying a target digital certificate; obtaining a target transaction record corresponding to the target digital certificate from a blockchain, the target digital certificate being stored in the blockchain as a transaction resource; obtaining a target account type corresponding to the target transaction record, different account types corresponding to different certificate operation states; and determining a verification result corresponding to the target digital certificate according to the target account type.

Abstract: A data storage method is provided at a computer system, including: obtaining first data and second data of a target object, the first data and the second data being data of different dimensions for measuring any aspect of the target object from generation to existence; storing the first data and the second data of the target object in the first node; receiving audit information of the first node for indicating the first data and the second data stored in the first node; verifying the audit information based on target audit information of at least one target node that transacts with the first node; broadcasting a verification success notification in the data storage system in a case that the verification succeeds; and determining that a consensus on the audit information is reached in a case that the received verification success notification meets a consensus success condition.

Abstract: A method for processing account information in a block chain is provided. A computer device receives identity information and a transfer request, the transfer request requesting to transfer a resource in an account to a target account, the target account being generated by a certificate center. The computer device obtains owner information of the account from the certificate center according to the transfer request. The computer device compares the identity information and the owner information. The computer device transmits an authentication request to the block chain in response to determining that the identity information and the owner information are consistent, the authentication request requesting the block chain to transfer the resource in the account to the target account.