Abstract: An unmanned device control method and apparatus, a storage medium, and an electronic device. An unmanned device is controlled to move according to a preplanned target path; current environment information of the unmanned device is obtained; according to the current environment information of the unmanned device, a target subpath on which the unmanned device is located is determined, from target subpaths included in the target path, as a designated subpath; and a control strategy is then determined according to a scenario type corresponding to the designated subpath, and a determined control strategy is used to control the unmanned device.

Abstract: This application discloses a beacon for guiding landing of an unmanned aerial vehicle. The beacon includes at least three levels of patterns: one first-level pattern and at least one second-level pattern, where the at least one second-level pattern is superposed above the first-level pattern, and an area of the second-level pattern is less than that of the first-level pattern.

Abstract: A trajectory prediction method and apparatus, a storage medium, and an electronic device are provided. In embodiments of this disclosure, according to a historical trajectory of a designated target and a historical trajectory of each obstacle, a historical interaction feature between the designated target and each obstacle is determined, and a motion trajectory of the designated target is predicted to obtain an initial predicted trajectory. A future interaction feature between each obstacle and the designated target is then determined according to the initial predicted trajectory and a planned trajectory of each obstacle. According to the future interaction feature, a final predicted trajectory of the designated target is obtained.

Abstract: An unmanned device control method and apparatus, a storage medium, and an electronic device. An unmanned device is controlled to move according to a preplanned target path; current environment information of the unmanned device is obtained; according to the current environment information of the unmanned device, a target subpath on which the unmanned device is located is determined, from target subpaths included in the target path, as a designated subpath; and a control strategy is then determined according to a scenario type corresponding to the designated subpath, and a determined control strategy is used to control the unmanned device.

Abstract: This specification discloses a marker allocation method and apparatus in an unmanned aerial vehicle airport and an unmanned aerial vehicle landing method and apparatus. According to an airport shape and an airport size of an unmanned aerial vehicle airport and a standard shape and a standard size of a takeoff and landing point, a target layout of an unmanned aerial vehicle airport that includes multiple takeoff and landing points is determined. Further, an initial takeoff and landing point is determined from the multiple takeoff and landing points included in the target layout.

Abstract: This application discloses a beacon for guiding landing of an unmanned aerial vehicle. The beacon includes at least three levels of patterns: one first-level pattern and at least one second-level pattern, where the at least one second-level pattern is superposed above the first-level pattern, and an area of the second-level pattern is less than that of the first-level pattern.

Abstract: A confidentiality preserving system and method for performing a rank-ordered search and retrieval of contents of a data collection. The system includes at least one computer system including a search and retrieval algorithm using term frequency and/or similar features for rank-ordering selective contents of the data collection, and enabling secure retrieval of the selective contents based on the rank-order. The search and retrieval algorithm includes a baseline algorithm, a partially server oriented algorithm, and/or a fully server oriented algorithm. The partially and/or fully server oriented algorithms use homomorphic and/or order preserving encryption for enabling search capability from a user other than an owner of the contents of the data collection. The confidentiality preserving method includes using term frequency for rank-ordering selective contents of the data collection, and retrieving the selective contents based on the rank-order.

Abstract: A trajectory prediction method and apparatus, a storage medium, and an electronic device are provided. In embodiments of this disclosure, according to a historical trajectory of a designated target and a historical trajectory of each obstacle, a historical interaction feature between the designated target and each obstacle is determined, and a motion trajectory of the designated target is predicted to obtain an initial predicted trajectory. A future interaction feature between each obstacle and the designated target is then determined according to the initial predicted trajectory and a planned trajectory of each obstacle. According to the future interaction feature, a final predicted trajectory of the designated target is obtained.

Abstract: A confidentiality preserving system and method for performing a rank-ordered search and retrieval of contents of a data collection. The system includes at least one computer system including a search and retrieval algorithm using term frequency and/or similar features for rank-ordering selective contents of the data collection, and enabling secure retrieval of the selective contents based on the rank-order. The search and retrieval algorithm includes a baseline algorithm, a partially server oriented algorithm, and/or a fully server oriented algorithm. The partially and/or fully server oriented algorithms use homomorphic and/or order preserving encryption for enabling search capability from a user other than an owner of the contents of the data collection. The confidentiality preserving method includes using term frequency for rank-ordering selective contents of the data collection, and retrieving the selective contents based on the rank-order.

Abstract: Disclosed is a method for user identity authentication for a peer device joining a peer-to-peer overlay network. In the method, a credential server of the overlay network receives a registered user identity from a joining peer device. The credential server verifies the registered user identity with an identity provider. Upon receiving, at the credential server, successful verification of the registered user identity from the identity provider, the credential server issues to the joining peer device a signed certificate for use by an authenticated peer device in the overlay network to authenticate the registered user identity of the joining peer device, wherein the signed certificate is signed by a private key of the credential server.

Abstract: A technology for tracking a target object using depth information is disclosed. An object image contain a target object can be obtained from a reference image. A target distance from a robot to the target object can also be derived or accessed. When the robot captures a new image, 2D matching can be performed to find the horizontal and vertical movement of the target object. Distance change or depth change of the target object can also be calculated from the new image. A depth change ratio can be calculated and be utilized to scale a bounding box. The robot can then move to a new location according to the horizontal, vertical and depth changes. A new object image can be extracted from the new image according to the scaled bounding box. The object tracking can be continued using a similar process when the next image is captured.

Abstract: A method and a device for operating a robot are provided. According to an example of the method, information of a first gesture is acquired from a group of gestures of an operator, each gesture from the group of gestures corresponding to an operation instruction from a group of operation instructions. A first operation instruction from the group of operation instructions is obtained based on the acquired information of the first gesture, the first operation corresponding to the first gesture. The first operation instruction is executed.

Abstract: A technology for tracking a target object using depth information is disclosed. An object image contain a target object can be obtained from a reference image. A target distance from a robot to the target object can also be derived or accessed. When the robot captures a new image, 2D matching can be performed to find the horizontal and vertical movement of the target object. Distance change or depth change of the target object can also be calculated from the new image. A depth change ratio can be calculated and be utilized to scale a bounding box. The robot can then move to a new location according to the horizontal, vertical and depth changes. A new object image can be extracted from the new image according to the scaled bounding box. The object tracking can be continued using a similar process when the next image is captured.

Abstract: According to some aspects, a transport accelerator of a client device may generate a chunk request that is derived from a fragment request and that has transport acceleration metadata. The transport acceleration metadata may indicate that the request is from a transport accelerator and/or indicate a fragment associated with the fragment request. The transport accelerator may receive a signal to cancel one or more chunk requests and/or wait to receive a full fragment. A client application of the client device may generate the signal upon receipt of an HTTP response from a server that complies with a handshaking procedure.

Abstract: A method and a device for operating a robot are provided. According to an example of the method, information of a first gesture is acquired from a group of gestures of an operator, each gesture from the group of gestures corresponding to an operation instruction from a group of operation instructions. A first operation instruction from the group of operation instructions is obtained based on the acquired information of the first gesture, the first operation corresponding to the first gesture. The first operation instruction is executed.

Abstract: Transport accelerator (TA) systems and methods for accelerating delivery of content to a user agent (UA) of a client device are provided according to embodiments of the present disclosure. Embodiments comprise a TA architecture implementing a connection manager (CM) and a request manager (RM). A CM of embodiments requests chunks of content from a content server, receives data in response to requesting the chunks of content, wherein the received data is missing data from a requested chunk of content, and provides a receipt acknowledgement (ACK) for the missing data. The received data, which is missing data from a requested chunk of the chunks of content, may be passed through a communication protocol stack to an application for assembly into a one or more content objects.

Abstract: A method for controlling flash memory is described. The method includes selecting a new forward error correction (FEC) parameter set that provides more redundancy than a current FEC parameter set. The method also includes coding source information bits, using the new FEC parameter set, during write operations to a first corrupted page in the flash memory. The method further includes mapping the first corrupted page and at least one additional corrupted page in the flash memory to a single logical page with an expected page size.

Abstract: Systems and methods which are adapted to provide transport accelerator operation through the use of user agent (UA) signaling are disclosed. In operation according to embodiments, a transport accelerator (TA) analyzes content requests to determine if the content request includes an indication that transport acceleration functionality is to be provided. If such an indication is present, the TA further analyzes the content request to determine if transport acceleration functionality will be provided.