Qualcomm Incorporated

Lytx, Inc.

Marc Anthony Ische

Dominic Gerard Farmer

Douglas Neal Rowitch

Jie Wu

Zoltan F Biacs

Ardalan Heshmati

Srigouri Kamarsu

Ahmad Hatami

Jeremiah Todd Wittevrongel

Arnold Jason Gum

Xintian Li

Charles Seunghwan Han

Ajay Vasanadu

John Alfred Tan

Stephen William Edge

Nathan Edward Tenny

Sven Fischer

Parag Arun Agashe

Leonid Sheynblat

Rayman Wai Pon

Mark Leo Moeglein

Ashok Bhatia

Daniel A Lambert

Borislav Ristic

Thomas K Rowland

Lalitaprasad Daita

Stephen Krotosky

Ning Shang

Jignesh U Doshi

Jignesh Umesh Doshi

The subject matter disclosed herein relates to determining a background location of a mobile device using one or more signal metrics.

On demand positioning

A system for capturing location-based data includes an interface and a processor. The interface is configured to receive a location-based data description for capturing the location-based data. The processor is configured to determine a location based at least in part on the location-based data description, create a location-based data identification job based at least in part on the location, cause execution of the location-based data identification job to a set of vehicle event recorder systems, wherein the location-based data identification job is executed by a vehicle event recorder system of the set of vehicle event recorder systems to acquire sensor data in response to a vehicle being able to acquire the sensor data related to the location of the location-based data identification job, receive the sensor data from the vehicle event recorder system, and determine the location-based data based at least in part on the sensor data.

Adaptive data collection based on fleet-wide intelligence

A system for dynamic capturing of dynamic event data includes an interface and a processor. The interface is configured to receive a request for dynamic event data at a vehicle event recorder. The processor is configured to extract a location and a configuration setting from the request, modify a setting associated with collection of the dynamic event data according to the configuration setting, wherein the dynamic event data is collected using one or more sensors, determine whether the vehicle event recorder is located appropriately to record the dynamic event data using the one or more sensors, in response to determining that the vehicle event recorder is located appropriately to record the dynamic event data using the one or more sensors, record the dynamic event data from the one or more sensors, and provide the dynamic event data.

Orchestrated intelligent edge sensing

A system for dynamic job shifting includes an interface and a processor. The interface is configured to receive a job request to perform a job. The processor is configured to monitor available resources for performing the job. The available resources include a set of vehicle carried systems accessible to a vehicle event recorder via a communication link. The vehicle event recorder is coupled to a vehicle. The processor is further configured to determine a vehicle carried system of the set of vehicle carried systems for performing the job; provide the job to the vehicle carried system, where the job is configured to create one or more checkpoint data files; and receive an indication of creation of a checkpoint data file of the one or more checkpoint data files.

Dynamic workload shifting within a connected vehicle

Systems, apparatus and methods in a mobile device for determining a breach of a geofence is presented. A reference radio frequency (RF) fingerprint is obtained by the mobile device, the reference RF fingerprint defining the geofence. The reference RF fingerprint may be generated by the mobile device or received from a different mobile device. The mobile device scans for RF signals and determines a scanned RF fingerprint based on the scan for RF signals. A breach of the geofence is determined using the reference RF fingerprinting and the scanned RF fingerprint.

Geofences based on RF fingerprints

Systems, apparatus and methods for communicating and using a geofence while maintaining privacy are presented. A geofence is based on at least one RF fingerprint. The RF fingerprints include absolute information that is transformed into a one-way matrix (A) by application of a one-way function. The absolute information may identify a transmitter (e.g., by location, address or the like). An equation=Ax (whereis a zero vector, A is the one-way matrix and x is a signature vector) is solved to reveal one possible solution for the signature vector (x). This signature vector (x) is communicated rather than the RF fingerprints themselves, thus obscuring the absolute information and maintaining privacy.

Communicating RF fingerprint-based geofences

Systems, apparatus and methods in a mobile device for creating and/or using a geofence are presented. When creating a geofence, a mobile device collects at least one RF fingerprint. Each RF fingerprint includes transmitter information from a plurality of transmitters. The transmitter information includes information identifying the transmitter (e.g., location or MAC address of the transmitter) referred to here as absolute information. The transmitter information may also include information indication a relative position of the mobile device with respect to the transmitter (e.g., RTT or RSSI) referred to here as relative information. The RF fingerprints are used to define a geofence. Granularity may further be used to define a geofence. A first mobile device creates the geofence and sends it to a second mobile device, which looks for the geofence. When using the geofence, a second mobile device may trigger an application when a breach of the geofence is detected.

Example methods, apparatuses, or articles of manufacture are disclosed herein that may be utilized, in whole or in part, for determining background position information for the mobile station using one or more positioning techniques, such as signal metrics.

Demand positioning

A method and device of geographically tagging images by capturing an image, determining a position based on detection of satellite signals and a wireless network signal, and tagging the image with the determined position is provided.

Tagging images with a GPS-enabled camera

Apparatus and methods for performing mobile-based positioning in a wireless communications system are presented. A position estimate is computed based on assistance data intended for a first position method. The mobile device ignores if a second positioning method is not specifically supported by a network and computes a position estimate using the second position method and a subset of assistance data intended for the first positioning method, which is supported by the network and is different from the second positioning method.

Mobile-based positioning with non-conforming use of assistance data

The subject matter disclosed herein relates to determining a location of a mobile device using an estimated trajectory of motion of the mobile device, and in particular, using a comparison of the estimated trajectory with one or more predetermined candidate trajectories.

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San Diego, CA, United States of America

Marc Anthony Ische