Patent classifications
G01S5/145
Systems and methods for deep learning-based pedestrian dead reckoning for exteroceptive sensor-enabled devices
Systems are provided for estimating 6DOF positioning of a computing device while in a pedestrian dead reckoning mode. The systems obtain a set of inertial tracking data from the set of one or more inertial tracking components while the system is in a pedestrian dead reckoning mode. Then, the systems obtain an estimated 3DOF velocity of the system based inertial tracking data, using a predictive model trained on a set of observed exteroceptive sensor data and observed inertial tracking data. The systems also obtain estimated 6DOF positioning of the systems based on the estimated 3DOF velocity.
System and method for synthetic aperture based position, navigation, and timing
A system and method for estimating the position of a receiver and/or timing information for a receiver based on emissions from radio signal sources meant for applications other than position/navigation/time (PNT) estimation.
INFRASTRUCTURE TRIGGERING TECHNIQUES TO FACILITATE SECURE ULTRA-WIDEBAND (UWB) RANGING
Presented herein are infrastructure triggering techniques for secure Ultra-Wideband (UWB) ranging. In one example, a method may include providing UWB ranging parameters to a mobile device via a first radio communication, wherein the first radio communication is a non-UWB radio communication; and triggering the mobile device to perform UWB ranging with a UWB anchor, wherein the triggering is performed using a second radio communication. In another example, a method may include, obtaining, by a mobile device, UWB ranging parameters for a geographic area; obtaining a UWB ranging instruction for the geographic area; and performing UWB ranging with a target UWB anchor based on the UWB ranging parameters and the UWB ranging instruction.
SYSTEMS AND METHODS FOR TAG LOCALIZATION
The disclosed embodiments include systems and methods for tag localization.
Method and device for position determination
A method for the determining a position of at least one measurement object equipped with a mobile station having a receiver includes employing at least four reference objects having a base station and a transmitter, wherein a first reference object of the at least four reference objects has a mobile station with a receiver and simultaneously acts as a measurement object. The base station and the mobile station are structurally combined. The reference objects initially have a known position that can change. The transmitters of the base stations transmit signals and the mobile stations receive signals. The method additionally includes emitting, by at least two transmitters of base stations, periodic signals of different frequencies at mutually defined time intervals, wherein these frequencies are closely adjacent.
Position estimation device and position estimation method
A position estimation device includes: a selector configured to select N wireless terminals and reselect N wireless terminals from M wireless terminals; a distance calculator configured to calculate distances among wireless terminals in a group consisting of a parent wireless terminal and the N wireless terminals based on information on power of radio signals of packets transmitted and received; a relative position calculator configured to calculate relative positions of the M wireless terminals based on the distances among the wireless terminals in the group for the N wireless terminals selected and reselected; and an absolute position converter configured to convert a relative position of a child wireless terminal into an absolute positon of the child wireless terminal based on the relative positions of the M wireless terminals and absolute positions of at least three of the M wireless terminals where the absolute positions are known.
SYSTEMS AND METHODS FOR DEEP LEARNING-BASED PEDESTRIAN DEAD RECKONING FOR EXTEROCEPTIVE SENSOR-ENABLED DEVICES
Systems are provided for estimating 6DOF positioning of a computing device while in a pedestrian dead reckoning mode. The systems obtain a set of inertial tracking data from the set of one or more inertial tracking components while the system is in a pedestrian dead reckoning mode. Then, the systems obtain an estimated 3DOF velocity of the system based inertial tracking data, using a predictive model trained on a set of observed exteroceptive sensor data and observed inertial tracking data. The systems also obtain estimated 6DOF positioning of the systems based on the estimated 3DOF velocity.
Mobile Signal Based Building Footprints
Recent decades have brought tremendous advances in communication systems which have given rise to the global proliferation of smartphones and other mobile communication systems. A signal processing system implements technical solutions for determining building footprints from inputs including signal data associated with mobile communication devices.
Beidou-based grid augmentation autonomous driving multi-level warning system
The present invention provides a BeiDou-based grid augmentation autonomous driving multi-level warning system comprising a Beidou Satellite Ground-based Augmentation system, user terminals and a Vehicles internet system, wherein the Beidou Satellite Ground-based Augmentation system comprises Beidou grid reference stations, a data processing system and a data broadcast system; the user terminal comprises an in-vehicle receiver and a calculating chips. The present invention can reduce the occurrence of traffic accidents and reduce the loss of life and property.
Intercepting an uplink signal to assist in timing or positioning calculations
Methods and apparatus are disclosed for sharing, by a first User Equipment, interception-assistance information relating to an uplink signal transmitted by the first User Equipment. The interception-assistance information may be used to assist a second User Equipment to intercept the uplink signal and measure at least one characteristic of it. Calculation-assistance information may be used to assist in the calculation of a position or time, based on the measured characteristic.