H04W4/04

Veracity determination through comparison of a geospatial location of a vehicle with a provided data
09779449 · 2017-10-03 · ·

A method, apparatus and system related to veracity determination through comparison of a geospatial location data of a vehicle with a provided data are disclosed. In one aspect, the method of a veracity server associates a provided data of an individual with a vehicle using a processor, determines the geospatial location of a vehicle, correlates a relevance of the geospatial location of the vehicle with the provided data, and determines the veracity of the provided data based on the relevance of the geospatial location of the vehicle to the provided data. The method may also comprise the usage of a geospatial circuit in the vehicle in order to transmit geospatial coordinates as well as a plurality of relevant locational information of the vehicle to the veracity server in order to make a correct veracity determination of the provided data.

Localization using converged platforms

In one aspect of the invention, a method for determining the location of a device is described. The method involves using one or more signal emitting platforms, which are capable of performing a wide variety of operations. In some embodiments, for example, the signal emitting platform is capable of physical movement. Various embodiments relate to signal emitting platforms, devices, systems, servers, computer code, methods and techniques for determining the location of a device.

Methods, circuits, devices, systems and associated computer executable code for driver decision support
09776512 · 2017-10-03 · ·

The present invention includes methods, circuits, devices, systems and associated computer executable code for providing driver decision making support. According to some embodiments, there may be provided a driver decision support system, which may generate action recommendations to a commercial driver, such as a taxi driver, a cab driver, a limo driver or any other kind of driver who picks up and transports passengers or cargo on an ad hoc (or otherwise flexible/uncertain) basis.

Autonomous semantic labeling of physical locations

A portable electronic device may generate a (RF) radio frequency fingerprint that includes information representative of at least a portion of RF signals received at a given physical location. The RF fingerprint may include, for example, a unique identifier and a signal strength that are both logically associated with at least a portion of the received RF signals. The portable electronic device may also receive data representative of a number of environmental parameters about the portable electronic device. These environmental parameters may be measured using sensors carried by the portable electronic device. Considered in combination, these environmental parameters provide an environmental signature for a given location. When combined into a data cluster, the RF fingerprint and the environmental signature may provide an indication of the physical subdivision where the portable electronic device is located. The portable electronic device may then generate a proposed semantic label for the physical subdivision.

Venue experience management
09781562 · 2017-10-03 · ·

Systems and methods are disclosed for venue experience management. In one implementation, one or more inputs originating at one or more sensors of a first device are received at a communication interface of a location determination device, one or more inputs originating at one or more sensors of a second device are received at the communication interface of the location determination device, a processing device of the location determination device processes the one or more inputs originating at the one or more sensors of the first device in relation to the one or more inputs originating at the one or more sensors of the second device to determine a relative proximity of the first device in relation to the second device, and one or more actions are initiated based on the relative proximity of the first device in relation to the second device.

Remote interrogation and override for automated driving system

An autonomous vehicle includes an automated driving system configured to automatically control vehicle steering, acceleration, and braking during a drive cycle without operator intervention. The vehicle additionally includes a wireless communication system configured to communicate with a remote communication device. The vehicle further includes a controller configured to communicate vehicle characteristics data via the wireless communication system. The vehicle characteristics data include a vehicle status identifier indicating automated driving system control of the vehicle. The controller is further configured to, in response to a remote override request from a remote communication device, command the automated driving system to perform a minimal risk condition maneuver to stop the vehicle.

System for and method of providing enhanced services by using machine-based wireless communications of portable computing devices

A system for and a method of providing enhanced services by using machine-based wireless communications of portable computing devices (PCDs) are described. More specifically, a system for and a method of efficiently and effectively projecting, in a controlled fashion, a user's profile to a service provider's PCD in anticipation of an expected interaction between the user and the service provider. The user's profile may comprise content related to identification, current physical location, personal preferences, etc. The system and method may emphasize proactively controlled projection of private/personal information, proactively controlled use of PCD resources, and proactively controlled use of communication network resources.

Optimizing wearable device settings using machine learning
09781243 · 2017-10-03 · ·

Techniques for optimizing wearable device settings using machine learning are described. A mobile device may receive, from a wearable device (such as a wristwatch), sensor data corresponding to a reaction of a user wearing the wearable device to an output modality produced by the wearable device. The mobile device may solicit user feedback for the output modality produced by the wearable device. The mobile device may receive, via a sensor set, user feedback data corresponding to a user feedback for the output modality. The mobile device may upload the sensor data and the user feedback data to a cloud-based application. The mobile device may receive a knowledge package, including a classification algorithm trained using the sensor data and the user feedback data, from the cloud-based application. Finally, the mobile device may send the knowledge package to the wearable device.

Method And System For Determining A Location Of A Mobile Device And Utilizing The Location In Content Services

A system and method for controlling a mobile device at a headend includes the mobile device communicating a request for content to the headend. The headend requests geographic coordinate location data from the mobile device and, when geographic coordinate data is available, determines a first geographic region associated with the mobile device in response to the geographic coordinate location data. When geographic coordinate data is not available from the mobile device, the headend extracts an IP address from the request and determines a second geographic region based on the IP address and a confidence level. When the confidence level is below a threshold, the headend determines a third geographic region based on subscriber data for the mobile device. The headend controls the mobile device in response to one of the first geographic region, the second geographic region and the third geographic region.

Systems and Methods for Managing Information Associated with Boxes Used in the Delivery of Packages

There is disclosed methods and systems for managing drop boxes. Events reflecting outputs from one or more sensors are detected. Information that is a function of the detected event is forwarded to a drop box management system. This information, along with additional information received by the drop box management system, is utilized to generate instructions including display instructions for each drop box. Displays of drop boxes are then updated based on the instructions.