Abstract: Systems, methods, and non-transitory computer readable media configured to generate enhanced training information. Training information may be obtained. The training information may characterize behaviors of moving objects. The training information may be determined based on observations of the behaviors of the moving objects. Behavior information may be obtained. The behavior information may characterize a behavior of a given object. Enhanced training information may be generated by inserting the behavior information into the training information.

Abstract: A lens mount apparatus mountable on a vehicle and a method for controlling a lens mount apparatus are described. The lens mount apparatus includes a plurality of lenses concentrically arranged around a center, and the plurality of lenses include a first lens having a first focal length and a second lens having a second focal length that is shorter than the first focal length. The method includes positioning one of the plurality of lenses, such that one of the lenses that has a focal length suitable for capturing an object is used for image capturing.

Abstract: An interaction method based on multimedia programs, a terminal device, a server and a system are disclosed, which belong to the field of network technologies. The method includes: acquiring at least one image clip information of a multimedia program in a process of playing back the multimedia program; sending the image clip information, the image clip information being used for matching corresponding multimedia program information; receiving interaction information corresponding to the multimedia program information; and outputting an interactive interface, to interact with the multimedia program based on an interaction operation on the interactive interface. The present disclosure is easy to operate, and improves interaction efficiency.

Abstract: To manage expired backups in a storage system, a backup server retrieves multiple deletion logs which record invalid data included in one or more expired backups. When a deletion condition is met, the backup server identifies a first large object based on the multiple deletion logs, and sends a data migration request to an object-based storage system to instruct the object-based storage system to copy valid data of the first large object to a second large object. Thereafter, the backup server sends an object deletion request to the object-based storage system to instruct the object-based storage system to delete the first large object, thereby clearing up the expired backups.

Abstract: Systems, methods, and non-transitory computer readable media configured to generate enhanced training information. Training information may be obtained. The training information may characterize behaviors of moving objects. The training information may be determined based on observations of the behaviors of the moving objects. Behavior information may be obtained. The behavior information may characterize a behavior of a given object. Enhanced training information may be generated by inserting the behavior information into the training information.

Abstract: Systems, methods, and non-transitory computer-readable media are provided for implementing a preemptive control for an autonomous vehicle to improve ride quality. Data from one or more sensors onboard the autonomous vehicle can be acquired. A surface imperfection of a road can be identified from the data. A next action for the autonomous vehicle can be determined based on the surface imperfection. A signal can be outputted that causes the autonomous vehicle to act in accordance with the next action.

Abstract: Systems, methods, and non-transitory computer readable media configured to generate enhanced three-dimensional information. Three-dimensional information of a scene may be obtained. The three-dimensional information may define a three-dimensional point cloud model of the scene. The three-dimensional information may be determined based on distances of the scene from a location. Image information may be obtained. The image information may define one or more images of an object. The object may be identified based on the image information. A three-dimensional point cloud model of the object may be obtained. Enhanced three-dimensional information of the scene may be generated by inserting the three-dimensional point cloud model of the object into the three-dimensional point cloud model of the scene.

Abstract: Embodiments of the present disclosure provide an autonomous mobile robot and a walking method thereof. The autonomous mobile robot includes a machine body, a driving wheel assembly and an obstacle crossing assembly. The driving wheel assembly is rotatably arranged on the machine body through a first rotating shaft. The driving wheel assembly includes a driving wheel. When the driving wheel moves from a first position to a second position relative to the machine body, the obstacle crossing assembly applies a force to the driving wheel assembly to make a change amplitude of positive pressure between the driving wheel and a traveling surface less than or equal to a set threshold value.

Abstract: A system included and a computer-implemented method performed in an autonomous-driving vehicle are described. The system performs: detecting one or more movable objects; determining a target movable object from the one or more detected objects; determining a manner of generating a directed alert notification selectively toward the target movable object; and causing a directed alert notification of the determined manner to be generated toward the target movable object.

Abstract: Systems and methods directed to projecting a current trajectory path of the autonomous vehicle on a surface of road is disclosed. In some embodiments, an autonomous vehicle with a light projector is disclosed, where the light projector is on a top surface of an autonomous vehicle. Additionally, in some embodiments, the autonomous vehicle may include an electronic control unit for controlling an operation of the light projector, where the electronic control unit detects whether the autonomous vehicle is turned on. In further embodiments, the electronic control unit receives data of an environmental condition surrounding the autonomous vehicle and receives an upcoming trajectory path of the autonomous vehicle. The electronic control unit may also project a light from the light projector onto a surface of a road indicating the upcoming trajectory path of the autonomous vehicle.

Abstract: Systems, methods, and non-transitory computer-readable media are provided for implementing a preemptive control for an autonomous vehicle to improve ride quality. Data from one or more sensors onboard the autonomous vehicle can be acquired. A surface imperfection of a road can be identified from the data. A next action for the autonomous vehicle can be determined based on the surface imperfection. A signal can be outputted that causes the autonomous vehicle to act in accordance with the next action.

Abstract: A biometric-based authentication method, an apparatus, and a system are described. The method includes: receiving a biometric image to be authenticated sent from a client; performing feature extraction to the biometric image to be authenticated to obtain a biometric template to be authenticated; comparing the biometric template to be authenticated with a locally-stored biometric template; and returning an authentication result. In this case, the feature extraction process may be implemented at a cloud server side, as such, the complexity of the client may be reduced, the expandability of the client may be increased, a limitation that the biometric recognition may only be implemented on the client may be eliminated, and diversified utilization may be supported.

Abstract: A system included and a computer-implemented method performed in an autonomous-driving vehicle are described. The system performs: detecting one or more movable objects; determining a target movable object from the one or more detected objects; determining a manner of generating a directed alert notification selectively toward the target movable object; and causing a directed alert notification of the determined manner to be generated toward the target movable object.

Abstract: Various embodiments provide methods and apparatus for sharing browser contents. In an exemplary method, an electronic device can receive contents for sharing selected by a user and a sharing platform selected by the user. The electronic device can jump to a unified verification interface for the user to log in to the sharing platform through the unified verification interface. Further, the electronic device can submit the contents to the sharing platform for sharing.

Abstract: A system included and a computer-implemented method performed in one of a plurality of self-driving vehicles that are connected through a network are described. The system performs: processing image data of one or more scene images received by said one of the plurality of self-driving vehicles, to detect one or more objects included in the one or more scene images; determining a target object from the one or more detected objects at least based on the processed image data; predicting movement of the target object at least based on a current position and a current movement state of the target object; and performing a self-driving operation to drive said one of the plurality of self-driving vehicles based on the predicted movement of the target object.

Abstract: A distributed cluster system includes at least a first node, a second node, and a third node, where the first node and the second node have a latest log before a fault occurs, but the third node does not have the latest log before the fault occurs. A fault rectification method includes: setting, by the first node after the first node restarts due to the fault, a voting status of the first node to Voting Not Allowed, where the voting status is used to indicate whether the first node can vote in a process in which the distributed cluster system elects a leader; receiving a replicated-log-entry message from the second node; and setting the voting status of the first node to Voting Allowed, where the second node is a leader.

Abstract: Systems, methods, and non-transitory computer-readable media are provided for implementing a preemptive control for an autonomous vehicle to improve ride quality. Data from one or more sensors onboard the autonomous vehicle can be acquired. A surface imperfection of a road can be identified from the data. A next action for the autonomous vehicle can be determined based on the surface imperfection. A signal can be outputted that causes the autonomous vehicle to act in accordance with the next action.

Abstract: Systems, methods, and non-transitory computer-readable media are provided for acquiring driving records from an autonomous vehicle. One or more patterns can be determined from the driving records. One or more criteria can be generated based on the one or more patterns. One or more suspicious points can be identified in the driving records by applying the one or more criteria to the driving records.

Abstract: A system included and a computer-implemented method performed in one of a plurality of self-driving vehicles that are connected through a network are described. The system performs: processing image data of one or more scene images received by said one of the plurality of self-driving vehicles, to detect one or more objects included in the one or more scene images; determining a target object from the one or more detected objects at least based on the processed image data; predicting movement of the target object at least based on a current position and a current movement state of the target object; and performing a self-driving operation to drive said one of the plurality of self-driving vehicles based on the predicted movement of the target object.

Abstract: A flow entry delivering method includes: a controller obtains a device identifier of a network device and at least one flow entry used to perform a function on the network device. The controller obtains storage information of the network device according to the device identifier, and the storage information includes free space in storage space of the network device that is used to store a flow entry. The controller compares the free space with a total capacity of the at least one flow entry and determines whether the network device has sufficient free storage space to store the at least one flow entry. When the network device has the storage space greater than or equal to the capacity of the flow entry, the controller delivers the at least one flow entry, or when the network device has no storage space to store the flow entry, the controller does not deliver it.