Apple Inc.

Richard B Warren

Hyo Jeong Shin

Ronald Keryuan Huang

Michael P Dal Santo

Marcos Regis Vescovi

Brian J Andrich

Daniel R Delling

Lili Cao

Hengbin Luo

Krishna M Behara

Xufeng Han

Patrick James Coleman

Ethan T Bold

Patrick Thomas Dillon

Dennis Schieferdecker

Michael Wegner

Rami Khawandi

Pejman Lotfali Kazemi

Jeffrey Traer Bernstein

Matthaeus Krenn

Eric M G Circlaeys

Isaac Thomas Miller

William J Bencze

Liviu Teodor Popescu

Zehua Zhou

Danil Yuryevich Zvyagintsev

Srinivasan Nimmala

Lei Wang

Emily Clark Schubert

Xiaoyuan Tu

Hung A Pham

Venkateswara Rao Manepalli

Thanigaivelu Elangovan

Glenn Donald MacGougan

Sachin J Sane

Rajesh Ambati

Andrew M Wadycki

Vijay Kumar Ramamurthi

Aditya Narain Srivastava

Stephen P Jackson

Kumar Gaurav Chhokra

Gunes Dervisoglu

Andre M Boule

Sunny K Chow

Maulik V Choksi

Rachid Kachemir

Anh N Phan

Christina Selle

Ozgur Ekici

Xiao Xiao

Glenn D Macgougan

John D Blackwell

Bor-rong Chen

John E Warren

Fatemeh Ghafoori

Cheng Jia

Yi-Wen Liao

Alexandru Popovici

Ampy B Fejes

Embodiments described herein provide for a system, a non-transitory machine-readable medium, and methods to provide location services. In an embodiment, a method provides receiving at least one indication that an electronic device is in transit to at least one defined location, establishing a first fence boundary for the at least one defined location, receiving an indication that the electronic device has crossed the first fence boundary and is in transit to a defined location, and establishing a second fence for the defined location, where the second fence provides a finer granularity fence for the defined location than the first fence.

Proactive provision of positioning information based on user context

Embodiments herein provide various apparatuses and techniques for providing a notification indicating guidance to reaching cellular connectivity in the event of a loss of cellular connectivity and for guiding a user of a user equipment to a location with cellular connectivity. In an embodiment, the notification may be generated based on expiration of a timer, a screen unlock operation, or an application connection failure. The notification may indicate how long ago the cellular connectivity loss occurred and how far away a nearest location with a cellular connectivity was. In an embodiment, the user equipment may display a map interface based on user input selecting the notification. The map interface may show a map of the current location of the user equipment, a nearest location with cellular connectivity to the user equipment, and a path, which includes a tracked path of user equipment and a proposed path to the nearest location with cellular connectivity.

Systems and methods for assisted cellular connectivity

Computer-implemented methods, computer-readable storage media storing instructions and computer systems for labeling significant locations based on contextual data can be implemented to perform operations that include determining a location of a computing device, and determining a label for the determined location based on contextual data associated with the significant location. The location can be a significant location that has meaning to a user of the device.

Labeling a significant location based on contextual data

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

Systems and processes for operating an intelligent automated assistant are provided. In one example process, a speech input is received from a user. In response to determining that the speech input corresponds to a user intent of obtaining information associated with a user experience of the user, one or more parameters referencing a user experience of the user are identified. Metadata associated with the referenced user experience is obtained from an experiential data structure. Based on the metadata, one or more media items associated with the referenced are retrieved based on the metadata. The one or more media items associated with the referenced user experience are output together.

Intelligent automated assistant for delivering content from user experiences

In some implementations, a computing device can proactively determine a destination and request traffic information for routes from a starting location to the destination. In some implementations, a computing device can identify some routes between a starting location and a destination as non-recommended routes and recommend other routes. In some implementations, a computing device can rank routes between a starting location and a destination based on automatically-determined user interest. In some implementations, a computing device can determine a user is familiar with a route and adjust the information presented to the user about the route accordingly.

Providing light navigation guidance

Presenting suggested routes based on local route ranking

In an example method, a computer system receives a query from a mobile device, including an indication of a location of the mobile device, and an environmental measurement obtained by the mobile device at the location. A set of candidate points of interest in geographical proximity to the location is determined. For each of one or more candidate points of interest of the set, a location fingerprint of the candidate point of interest and contextual data regarding the candidate point of interest are obtained. A similarity between the environmental measurement and each location fingerprint is determined. A particular candidate point of interest is selected from among the set based on the similarity, and based on an assessment of the contextual data. A label of the selected point of interest is associated with the location and transmitted to the mobile device.

Harvesting labels for significant locations based on candidate points of interest and contextual data

EvoPEX connector removal tool

Presenting non-recommended routes

Growing community of inventors

Redwood City, CA, United States of America

Richard B Warren