Qualcomm Incorporated

Benjamin A Werner

Weihua Gao

Sai Pradeep Venkatraman

Joseph Czompo

William J Morrison

Guttorm Ringstad Opshaug

Ju-Yong Do

Ming Sun

Gengsheng Zhang

Arnold Jason Gum

Wyatt Thomas Riley

Ning Luo

Borislav Ristic

Vesa Veikko Ruuska

Dominic Gerard Farmer

Jie Wu

Ashok Bhatia

Arash Mirbagheri

Grant Alexander Marshall

Aditya Narain Srivastava

Mayur Nitinbhai Shah

Bruce Everett Wilson

Tao Jia

Moi Riba

William James Morrison

Techniques are provided which may be implemented using various methods and/or apparatuses in a mobile GNSS device to compensate for arm swing. An example of an method for compensating for arm swing according to the disclosure includes determining an arm swing signal, such that the arm swing signal is approximately sinusoidal with a period of approximately T seconds, determining a position signal measurement period, receiving a plurality of positioning signals at intervals corresponding to the position signal measurement period, and determining current position information based on the plurality of positioning signals.

Arm swing compensation techniques

Various techniques are provided that may be implemented at one or more of a plurality of co-located mobile devices. For example, a first mobile device may identify a plurality of location determination tasks, transmit a request indicative of a subset of the plurality of location determination tasks to be performed by a second mobile device, and receive a response to the request.

Techniques for allocating positioning tasks among a plurality of mobile devices

Disclosed are devices, systems and methods for combining observations obtained at two different mobile devices attached to a human user for performing a navigation operation. For example, observations of a signal acquired at a first mobile device may be selected for computing a position fix based, at least in part, on a utility indicator associated with the observations.

Techniques for determining a position fix of an object using one or more mobile devices co-located with the object

Techniques for allocating positioning signal acquisition tasks among a plurality of co-located mobile devices

Techniques provided herein are directed toward enabling on-device learning to create user-specific movement models that can be used for dead reckoning. Because these moving models are user-specific, they can be later used to identify user-specific motions in a manner that provides for a dead reckoning location estimation. In some embodiments, these models can be focused on pedestrian movement, based on the repetitive motion that occurs when a user takes a stride (walking, jogging, running, etc.) or other repetitive motion (swimming, riding a horse, etc.).

User-specific learning for improved pedestrian motion modeling in a mobile device

Various techniques are provided that may be implemented at one or more of a plurality of co-located mobile devices. For example, a first mobile device may identify a plurality of signal acquisition tasks, transmit a request indicative of a subset of the plurality of signal acquisition tasks to be performed by a second mobile device, and receive a response to the request.

Methods, systems, computer-readable media, and apparatuses for determining a flight route for a flight of an unmanned aerial vehicle (UAV) are presented. The flight-specific route for the UAV is determined dynamically during the flight or in advance before the flight, using navigation assistance data that includes flight-specific navigation assistance data for a plurality of geographic zones determined based on flight-specific information. The flight-specific navigation assistance data includes flight-specific ranking data for the plurality of geographic zones that can be used by the UAV or a server to determine the flight route.

Navigation assistance data and route planning for drones

Techniques provided herein are directed toward resolving a direction of travel of a mobile device based on MEMS sensor data by identifying a type of motion the mobile device is subject to and offsetting vertical acceleration data with horizontal acceleration data by a predetermined time offset based on the identified type of motion. The offset vertical and horizontal acceleration data can then be used to resolve, with an increased accuracy, a direction of travel of the mobile device.

Pedestrian sensor assistance in a mobile device during typical device motions

A method of performing functions by proxy for a set of associated proximate devices is disclosed. In some embodiments, the method may comprise associating a set of user equipments (UEs), wherein upon determination that a first UE in the set is unavailable for performing a requested function, at least one alternate second UE in the associated set of UEs is selected, wherein the at least one second UE is proximate to the first UE and the at least one second UE is available for performing the requested function. The performance of the requested function on the at least one second UE is initiated.

Proximity based device usage

Disclosed is a method and apparatus for correcting clocks for a plurality of local transmitters. In one embodiment, the functions implemented include: receiving base station time from a plurality of local transmitters; assigning each local transmitter of the plurality of local transmitters to at least one subset of a plurality of subsets, wherein each subset corresponds to a single base station, and wherein each local transmitter in a particular subset receives time from a base station corresponding to the subset; selecting a single subset of local transmitters as a reference subset of local transmitters, the reference subset corresponding to a reference base station, each non-reference subset corresponding to a non-reference base station; determining a time difference between the reference base station and each of the non-reference base stations based on time received from one or more local transmitters that belong in more than one of the subsets; and transmitting the time difference to respective non-reference subsets of local transmitters.

Local transmitter synchronization based on WWAN base station network

Systems and methods for managing activities among two or more mobile devices that are collocated include means for determining a set of tasks to be performed collectively by at least a first mobile device comprising a first set of subsystems and a second mobile device comprising a second set of subsystems, while the first and second mobile device are collocated during a period of time in the future; means for assigning a first task of the set of tasks to be performed by the first mobile device based on the first set of subsystems; and means for assigning a second task of the set of tasks to be performed by the second mobile device based on the second set of subsystems. The first and second sets of subsystems are different from one another with regard to at least one subsystem.

Managing activities performed by a plurality of collocated mobile devices

Disclosed is an apparatus and method for collaborative navigation and operation on two mobile devices. The method may include establishing a wireless connection between a first mobile device and a second mobile device, and generating navigation data by the first mobile device for collaborative navigation based on a location of the first mobile device. The method may also include selecting a first subset of the navigation data for display by the first mobile device, and selecting a second subset of the navigation data for display by the second mobile device. The method may also include transferring the second subset of navigation data to the second mobile device and coordinating the display of the first subset of navigation data on the first mobile device with display of the second subset of navigation data on the second mobile device.

Growing community of inventors

San Carlos, CA, United States of America

Benjamin A Werner