Apple Inc.

Christina Selle

Robert William Mayor

Lei Wang

Yannick L Sierra

Sriram Hariharan

Brent Michael Ledvina

Isaac Thomas Miller

Glenn Donald MacGougan

Michael P Dal Santo

Julien F Freudiger

Raghunandan K Pai

Scott Lopatin

Kyle C Brogle

Langford M Wasada

Richard B Warren

Tommy Rochette

Pejman Lotfali Kazemi

Stephen P Jackson

Aditya Narain Srivastava

Siva Ganesh Movva

Saurabh Godha

William J Bencze

Kumar Gaurav Chhokra

Samuel B Schaevitz

Emmanuel Lalande

Adam M Driscoll

Benjamin A Werner

Changlin Ma

Munish K Poonia

Hyojoon Bae

Jonathan R Schoenberg

Tunc Ertan

Mark G Petovello

Swadesh Bhattacharya

Glenn D Macgougan

Kenneth M Pesyna, Jr

Michael C Laster

Fatemeh Ghafoori

Mads N Paulin

Cheng Jia

Yi-Wen Liao

Alexandru Popovici

Nicholas D Shourounis

Ernst Thomas Erdmann

The subject technology provides for visualizing a route traversed by a user during a movement event by periodically obtaining position information data from a receiver of a navigation system during a movement event. A path traversed by a user of a device that includes the receiver during the movement event is estimated based on the position information data. One or more previously mapped features within a proximity of the estimated path on a map are determined. The estimated path is matched to the map based on the previously mapped features to obtain a map-matched path. A display device is caused to render the map-matched path on an image of the map.

Route smoothing with map matched positioning coordinates

Described herein are techniques to enable a mobile device to perform multi-source estimation of an altitude for a location. A baseline altitude may be determined at ground level for a location and used to calibrate a barometric pressure sensor on the mobile device. The calibrated barometric pressure sensor can then estimate changes in altitude relative to ground level based on detected pressure differentials, allowing a relative altitude to ground to be determined. Baseline calibration for the barometric sensor calibration can be performed to determine an ambient ground-level barometric pressure.

Location of interest altitude and determining calibration points

A device implementing a system for estimating device location includes at least one processor configured to estimate a first position of a device based on a first set of parameters, the first set of parameters derived from first sensor data obtained on the device, the first set of parameters corresponding to device motion. The at least one processor is configured to estimate a second position of a user of the device based on a second set of parameters, the second set of parameters derived from second sensor data obtained on the device, the second set of parameters corresponding to user motion. Estimating the first and second positions is constrained by a predefined relationship between the device motion and the user motion. The at least one processor is configured to provide at least one of the first position of the device or the second position of the user.

User-specific motion model for location estimation

The disclosed embodiments are directed to detecting a user activity based on patterns in location data. In an embodiment, a method comprises: obtaining, by a processor of a computing device, location data; detecting, by the processor, a pattern in the location data; determining, by the processor and based on the detected pattern, an activity associated with a mobile device; and adjusting, by the processor, one or more parameters of a location data filter configured to process the location data.

Detecting user activity based on location data

Growing community of inventors

Los Altos, CA, United States of America

Christina Selle