Abstract: A multipath condition detection method includes: determining a first signal quality value corresponding to a first wireless signal, of a first frequency and from a signal source, received by a receiver of a mobile device; determining a second signal quality value corresponding to a second wireless signal, of a second frequency that is different from the first frequency, received by the receiver; and determining whether at least one difference value, corresponding to the first signal quality value and the second signal quality value, is indicative of the mobile device being in a multipath condition with respect to the signal source.

Abstract: The user equipment (UE) of an antenna orientation detection system may receive a first set of beacon signals via an antenna at the UE. Each of the first set of beacon signals may be associated with a corresponding indication of an expected beacon location. The UE may calculate an orientation of the antenna based on the first set of beacon signals. The UE may change at least one of a position, the orientation, or a direction of the antenna and receive a second set of beacon signals. The UE may calculate at least one of a set of interfering condition parameters, a set of spoofing condition parameters, or a set of non-line-of-sight (NLOS) condition parameters based on the first set of beacon signals and the second set of beacon signals.

Abstract: Examples of the present disclosure provide systems and methods for performing quantum simulation. For example, such systems and methods may perform quantum simulation, at least in part, by obtaining a Hamiltonian equation and a selection of a target quantum device, accessing an abstract analog instruction set configured to cause an evolution in the selected target quantum device, and compiling the Hamiltonian equation to generate a pulse schedule based on the abstract analog instruction set for the target quantum device.

Abstract: Techniques are provided for utilizing reference signals transmitted by network stations to determine the orientation of a wireless node. An example method for determining an orientation of a user equipment includes determining a first location associated with the user equipment, determining a second location associated with a first wireless node, receiving, with the user equipment, a radio frequency signal transmitted from the first wireless node, determining two measurements based at least in part on the first location, the second location, and angle of arrival information associated with the radio frequency signal, determining a gravity vector based on inertial measurements obtained with the user equipment, and computing the orientation of the user equipment based at least in part on the gravity vector and the two measurements.

Abstract: Aspects concern a distributed computing system for generating vector tiles of a selected map area including a memory unit configured to store map data and a task database, the map data including a representation of the selected map area with a first resolution and a first detail level and with a second resolution higher than the first resolution and a second detail level; two or more processing units, each of the two or more processing units configured to select a task included in the task database, to execute the selected task, and to provide data generated by the selected task to the memory unit for storage; wherein one of the two or more processing units is further configured to schedule the generation of vector tiles by determining tasks using a specific predefined directed acyclic task graph and to provide the determined task to the task database.

Abstract: Disclosed are techniques for vehicle positioning. In an aspect, a positioning engine aggregator of a host vehicle determines a position estimate of the host vehicle based on one or more position fixes determined by one or more positioning engines of the host vehicle, receives input from a user interface (UI) of the host vehicle to correct the position estimate of the host vehicle, and updates the position estimate of the host vehicle based on the input from the UI.

Abstract: Aspects presented herein may improve the performance and accuracy of RF-based positioning. Aspects presented herein may enable a device to use RF Doppler measurements to detect and mitigate multipath effects in RF-based positioning. The RF-based positioning may include satellite navigation, terrestrial positioning system, and/or indoor positioning. In one aspect, a UE receives, via a receiver, signals from one or more entities. The UE determines whether each received signal is a multipath signal based on a Doppler shift measurement. The UE de-weights or excludes one or more signals of the received signals in estimating a position of the UE based on whether the respective received signal is determined to be a multipath signal.

Abstract: Techniques are described for supporting user equipment (UE) positioning in a non-terrestrial network (NTN). To allow calculating a position/location of a UE based on reference signal (RS) measurements to and from one satellite (or a terrestrial base station), a device may be configured to calculate a doppler measurement and a range measurement and report such measurements to be used by a location server to calculate a UE position. An example device may receive a first RS (with the first RS being one of a positioning reference signal (PRS) or a sounding reference signal (SRS)), receive a second RS associated with the first RS, calculate a doppler measurement based on one or both of the first RS or the second RS, and report the doppler measurement. The doppler measurement (such as a measured frequency offset) may be used by a location server to calculate a UE position on the earth surface.

Abstract: Techniques are provided for applying plate tectonic model information to improve the accuracy of base station assisted satellite navigation systems. An example method for determining a location of a mobile device includes receiving base station measurement, coordinate and epoch information, receiving base station velocity information, receiving signals from a plurality of satellite vehicles, and determining the location of the mobile device based on the signals received from the plurality of satellite vehicles, the base station measurement, coordinate and epoch information, and the station velocity information.

Abstract: Disclosed are various techniques for wireless communication. In one aspect, a user equipment (UE) may receive, from a satellite vehicle (SV), a signal of a first frequency band, estimate a first ionospheric delay residual error based on the signal of the first frequency band, calculate a first pseudorange measurement and a first carrier phase measurement based on the first ionospheric delay residual error, and estimate a position using the first pseudorange measurement and the first carrier phase measurement. In some aspects, the ionospheric delay residual error is estimated via a Klobuchar equation. In some aspects, the position is estimated using ultra-long baseline real-time kinematics (RTK) positioning.

Abstract: A positioning method includes: obtaining traffic control information indicative of transmission of a traffic control indication granting permission for vehicle motion, or permission for pedestrian motion, or a combination thereof and determining, based on the traffic control information, position-related information including a location of a user equipment (UE), a heading of the UE, or a combination thereof.

Abstract: Techniques for Ultra Wide-Lane (UWL) Real-Time Kinematic (RTK) positioning a mobile device may include obtaining, using a multi-band GNSS receiver of the mobile device: a first carrier-phase measurement of a first GNSS signal on a first GNSS carrier frequency, and a second carrier-phase measurement of a second GNSS signal on second GNSS carrier frequency. Techniques may further comprise providing a position estimate of the mobile device, wherein: the position estimate is determined from a wide-lane (WL) combination of the first carrier-phase measurement and the second carrier-phase measurement, and the WL combination has a combined carrier phase noise that is less than a pseudo-range noise of the first carrier-phase measurement and a pseudo-range noise of the second carrier-phase measurement.

Abstract: A Precise Point Positioning (PPP) system is disclosed in which one or more Global Navigation Satellite System (GNSS) signals are obtained by a mobile device. The mobile device can obtain position information based on one or more position sources, where the position information is indicative of a location of the mobile device. One or more PPP positions of the mobile device can be determined based on the position information and the one or more GNSS signals, where a position uncertainty of the position information meets or is below an uncertainty threshold. A determination of whether at least one PPP position meets or is below one or more convergence thresholds can be made. In response to determining that at least one PPP position meets or is below the one or more convergence thresholds, the at least one PPP position can be provided.

Abstract: Techniques are provided for applying plate tectonic model information to improve the accuracy of base station assisted satellite navigation systems. An example method for determining a location of a mobile device includes receiving base station measurement, coordinate and epoch information, receiving base station velocity information, receiving signals from a plurality of satellite vehicles, and determining the location of the mobile device based on the signals received from the plurality of satellite vehicles, the base station measurement, coordinate and epoch information, and the station velocity information.

Abstract: Disclosed are various techniques for wireless communication. In one aspect, a user equipment (UE) may receive, from a satellite vehicle (SV), a signal of a first frequency band, estimate a first ionospheric delay residual error based on the signal of the first frequency band, calculate a first pseudorange measurement and a first carrier phase measurement based on the first ionospheric delay residual error, and estimate a position using the first pseudorange measurement and the first carrier phase measurement. In some aspects, the ionospheric delay residual error is estimated via a Klobuchar equation. In some aspects, the position is estimated using ultra-long baseline real-time kinematics (RTK) positioning.

Abstract: A text line detecting method includes: performing a preprocessing operation on an image to be detected to generate connected domains; performing a filtering operation on the connected domains to obtain connected domains that meet a preset requirement; and perform a text line recognizing operation according to a processing result. In the text line detecting method according to the embodiments of the present invention, by means of performing the preprocessing operation and the filtering operation on the image to be detected to obtain the connected domains that meet the preset requirement, and then performing the text line recognizing operation according to the processing result,detection and recognition accuracy of a text line are improved, and detection and recognition efficiencies of the text line are improved.

Abstract: This application provides a video monitoring method and device. The video monitoring method includes: obtaining video data; inputting at least one frame in the video data into a first neural network to determine object amount information of each pixel dot in the at least one frame; and executing at least one of the following operations by using a second neural network: performing a smoothing operation based on the object amount information in the at least one frame to rectify the object amount information; determining object density information of each pixel dot in the at least one frame based on scene information and the object amount information; predicting object density information of each pixel dot in a to-be-predicted frame next to the at least one frame based on the scene information, the object amount information, and association information between the at least one frame and the to-be-predicted frame.

Abstract: A method and an apparatus for measuring a speed of an object are provided, the method comprising: acquiring, for each image frame of at least two image frames in an image sequence, image information of the image frame, wherein the image information comprises depth information; detecting at least one object in the image frame based on the depth information to obtain an object detection result for the image frame; tracking the at least one detected object based on the object detection result of each of the at least two image frames to obtain an object tracking result; and calculating the speed of the at least one detected object based on the object tracking result and a time difference between the at least two image frames.

Abstract: Provided are a driving assistance information generating method and device, and a driving assistance system, which relate to a field of vehicle driving assistance technique. The driving assistance information generating method comprises: obtaining a depth image acquired by a depth camera and a scene image acquired by an imaging camera, the depth camera and the imaging camera being mounted on a vehicle in a manner of being registered and matched with each other, and a coverage of the depth camera and a coverage of the imaging camera being at least partially overlapped; detecting positions of respective objects appearing in the scene image by using the depth image and the scene image; and generating driving assistance information of the vehicle based on positions of the respective objects.

Abstract: This application provides a video monitoring method and device. The video monitoring method includes: obtaining video data; inputting at least one frame in the video data into a first neural network to determine object amount information of each pixel dot in the at least one frame; and executing at least one of the following operations by using a second neural network: performing a smoothing operation based on the object amount information in the at least one frame to rectify the object amount information; determining object density information of each pixel dot in the at least one frame based on scene information and the object amount information; predicting object density information of each pixel dot in a to-be-predicted frame next to the at least one frame based on the scene information, the object amount information, and association information between the at least one frame and the to-be-predicted frame.