Abstract: The present application is directed to a method and a system for processing pose data. The method and the system may be applied to a map generation device, the map generation device being coupled to a global positioning system and a pose sensing system, the global positioning system being configured for outputting positioning data, the pose sensing system being configured for outputting motion pose data, and the positioning data and the motion pose data being combined to generate pose estimation data. The method for processing pose data includes: determining, in response to generated positioning data, positioning accuracy information corresponding to the positioning data; determining a degree of confidence of the pose estimation data according to the positioning accuracy information; and generating optimized pose data by processing the pose estimation data according to the degree of the confidence of the pose estimation data.

Abstract: Systems and methods are provided for persisting a data structure. One method may comprise, at a front-end node in a computing system: generating a data structure operation record for a data structure operation directed to a data structure persisted in a non-volatile memory (NVM) in a back-end node of the computing system, appending the data structure operation record in an operation log, generating a transaction record for a transaction that includes a plurality of memory operations that collectively accomplishing the data structure operation, appending the transaction record in a transaction log, flushing the transaction log to the back-end node after flushing the operation log; and at the back-end node of the computing system: persisting received operation log and received transaction log in the NVM, and accomplishing the data structure operation by performing the plurality of the memory operation records with the data structure operation record as a commit signal.

Abstract: Systems and methods are provided for persisting a data structure. One method may comprise, at a front-end node in a computing system: generating a data structure operation record for a data structure operation directed to a data structure persisted in a non-volatile memory (NVM) in a back-end node of the computing system, appending the data structure operation record in an operation log, generating a transaction record for a transaction that includes a plurality of memory operations that collectively accomplishing the data structure operation, appending the transaction record in a transaction log, flushing the transaction log to the back-end node after flushing the operation log; and at the back-end node of the computing system: persisting received operation log and received transaction log in the NVM, and accomplishing the data structure operation by performing the plurality of the memory operation records with the data structure operation record as a commit signal.

Abstract: A communications apparatus and associated method communicating with at least one cellular network includes a radio transceiver and a processor. The communications apparatus includes a a radio transceiver, capable of transmitting or receiving wireless radio frequency signals to or from a cellular network; and a processor. The processor is configured to: receive an incoming call request message that will trigger a Circuit Switch Fall Back (CSFB) procedure or a Evolved Packet System Fall Back (EPS FB) procedure from the cellular network via the radio transceiver, query a user to accept or reject the incoming call request before triggering the CSFB procedure or the EPS FB procedure, and determine whether to trigger the CSFB procedure or the EPS FB procedure based on a response to the query from the user.

Abstract: The present disclosure provides a sidelink communication method, a terminal and network equipment.

Abstract: Embodiments of the disclosure provide systems and methods for identifying a curb based on 3-D sensor data. The system includes a communication interface configured to receive the 3-D sensor data captured of a scene by a sensor equipped on the vehicle as the vehicle travels along a trajectory. The system further includes a storage configured to store the 3-D sensor data. The system also includes at least one processor. The at least one processor is configured to create a 2-D mesh representation of the 3-D sensor data. The at least one processor is further configured to segment the 2-D mesh representation into a plurality of surfaces. The at least one processor is further configured to identify boundary mesh cells connecting each pair of adjacent surfaces wherein an altitude difference between the pair of adjacent surfaces is higher than a threshold and select mesh cells that align with a direction of the trajectory as corresponding to the curb.

Abstract: A communications apparatus communicating with at least one cellular network includes a radio transceiver and a processor. The radio transceiver is capable of transmitting or receiving wireless radio frequency signals to or from an air interface in the cellular network. The processor is configured to determine whether an inter-RAT change will be triggered in a subsequent procedure when the communications apparatus is in a connected mode. When the processor determines that an inter-RAT change procedure will be triggered, the processor is configured to selectively perform a predetermined procedure instead of the subsequent procedure to avoid the inter-RAT change.

Abstract: Embodiments of the disclosure provide systems and methods for positioning a vehicle. The system includes a communication interface configured to receive point cloud frames with respect to a scene and initial pose data of a vehicle captured by sensors equipped on the vehicle as the vehicle moves along a trajectory. The system also includes a storage configured to store the point cloud frames and the initial pose data. The system further includes a processor configured to estimate pose information of the vehicle associated with each of the point cloud frames based on the initial pose data and the point cloud frames. The processor is also configured to adjust the estimated pose information of the vehicle based on a model. The model includes a spatial relationship and a temporal relationship among the plurality of point cloud frames. The processor is further configured to position the vehicle based on the adjusted pose information.

Abstract: A cross-carrier scheduling method and a cross-carrier scheduling device are provided. The cross-carrier scheduling method includes receiving a cross-carrier scheduling indication transmitted from a base station via a first carrier; determining a cross-carrier scheduling time indicated by the base station according to the cross-carrier scheduling indication; adding a delay time to the cross-carrier scheduling time to obtain an actual cross-carrier scheduling time; and performing communication between user equipment by using a second carrier during the actual cross-carrier scheduling time.

Abstract: The present disclosure provides a sidelink communication method, a terminal and network equipment.

Abstract: A beard trimming template is provided comprising a first elongated portion formed from a first straight edge and a second straight edge, the first and second edges being parallel. A second elongated portion has third and fourth straight edges, the third and fourth edges being parallel. A main body is formed by a radius bridging ends of the second and third straight edges proximal to the main body, and an apex, opposite the radius, formed by ends of the first and fourth straight edges proximal to the main body joining at a right angle. The first and second straight edges are connected via a fifth straight edge forming a first width edge, and the third and fourth straight edges are connected via a sixth straight edge forming a second width edge, wherein the first and second width edges are equal in dimension and distal to the main body.

Abstract: Embodiments of the disclosure provide systems and methods for positioning a vehicle. The system includes a communication interface configured to receive a point cloud with respect to a scene captured by a sensor equipped on the vehicle. The system further includes a storage configured to store the point cloud and a high definition map. The system also includes a processor. The processor is configured to create a first 3-D representation of the point cloud and create a second 3-D representation of the high definition map with respect to the scene. The processor is further configured to determine pose information of the vehicle by comparing the first 3-D representation and the second 3-D representation. The processor determines a position of the vehicle based on the pose information.

Abstract: Embodiments of the disclosure provide methods and systems for acquiring map data. The system may include a mounting structure configured to adjustably mount a sensor to a vehicle. The sensor may be configured to capture data indicative of at least one surrounding object as the vehicle travels along a path. The system may further include a controller configured to dynamically determine a mounting angle based on the captured data, and cause the mounting structure to adjust the sensor according to the dynamically determined mounting angle.

Abstract: Embodiments of the disclosure provide systems and methods for correcting a high-definition map. The system may include a communication interface configured to receive point cloud data of a scene captured by a LiDAR. The system may further include a storage configured to store the point cloud data, and at least one processor. The at least one processor may be configured to detect at least one obstructing object from the point cloud data, and position at least one hole in the point cloud data caused by the at least one obstructing object. The at least one processor is further configured to estimate non-obstructed point cloud data for the at least one hole as if the scene was captured without the at least one obstructing object, and correct the high-definition map by repairing the received point cloud data with the non-obstructed point cloud data.

Abstract: Various embodiments provide a method for determining polarization information and a device thereof. In those embodiments, a first polarization information set sent by a transmitting device can be received by the receiving device. The first polarization information set includes at least one piece of first polarization information. A quality set comprising at least one quality of a received signal can be determined by the receiving device. The first polarization information corresponds to a quality of the received signal in the quality set, and the received signal is sent by the transmitting device to the receiving device through a non-line-of-sight channel. An optimal quality in the quality set can be determined by the receiving device. The optimal quality has a minimum degradation degree of the received signal in the quality set. The receiving device can then send the first polarization information corresponding to the optimal quality to the transmitting device.

Abstract: Embodiments of the disclosure provide methods and systems for updating a HD map using a plurality of point cloud data frames. The method may include receiving, by a communication interface, a first data frame of a target region acquired by at least one sensor. The method may further include constructing, by at least one processor, a local HD map based on the first data frame. The method may also include receiving, by the communication interface, a second data frame of the target region acquired by the at least one sensor. The method may also include updating, by the at least one processor, the local HD map using the second data frame based on relative location and pose information associated with the second data frame relative to the local HD map, and updating, by the at least one processor the HD map based on the updated local HD map.

Abstract: Embodiments of the disclosure provide systems and methods for updating an HD map. The system may include a communication interface configured to receive sensor data acquired of a target region by at least one sensor equipped on a vehicle as the vehicle travels along a trajectory via a network. The system may further include a storage configured to store the HD map. The system may also include at least one processor. The at least one processor may be configured to identify a plurality of data frames associated with a landmark, each data frame corresponding to one of a plurality of local HD map on the trajectory. The at least one processor may be further configured to jointly optimize pose information of the plurality of local HD maps and pose information of the landmark. The at least one processor may be further configured to construct the HD map based on the based on the pose information of the plurality of local HD maps.

Abstract: Embodiments of the disclosure provide systems and methods for identifying a curb based on 3-D sensor data. The system includes a communication interface configured to receive the 3-D sensor data captured of a scene by a sensor equipped on the vehicle as the vehicle travels along a trajectory. The system further includes a storage configured to store the 3-D sensor data. The system also includes at least one processor. The at least one processor is configured to create a 2-D mesh representation of the 3-D sensor data. The at least one processor is further configured to segment the 2-D mesh representation into a plurality of surfaces. The at least one processor is further configured to identify boundary mesh cells connecting each pair of adjacent surfaces wherein an altitude difference between the pair of adjacent surfaces is higher than a threshold and select mesh cells that align with a direction of the trajectory as corresponding to the curb.

Abstract: Embodiments of the disclosure provide systems and methods for updating a high-resolution map. The system may include a communication interface configured to receive a plurality of image frames captured by a binocular camera equipped on a vehicle, as the vehicle travels along a trajectory. The system may further include a storage configured to store the high-resolution map and the plurality of image frames. The system may also include at least one processor. The at least one processor may be configured to generate point cloud frames based on the respective image frames. The at least one processor may be further configured to position the vehicle using the point cloud frames. The at least one processor may be further configured to merge the point cloud frames based on the vehicle positions. The at least one processor may also be configured to update a portion of the high-resolution map based on the merged point cloud.

Abstract: The present disclosure provides a method for pose determination. The method may include obtaining a first pose of a subject at a first time point. The method may further include retrieving one or more first features associated with a road from a database. The road may be viewable by the subject at the first pose and at the first time point. The method may further include obtaining an image captured by the subject at a second time point. The method may further include extracting one or more second features associated with the road from the image. The method may also include determining a second pose of the subject at the second time point at least based on comparing the one or more first features associated with the road with the one or more second features associated with the road.