Abstract: A batteryless device is provided. The batteryless device includes a logic processor, a power storage cell, a sensor, a persistent memory, a wireless logic and an antenna configured to harvest power in response to exposure to radio frequency (RF) energy. The harvested power is transferred to the power storage cell such that when the power storage cell has a threshold amount of power the logic processor is activated to start or resume execution of code associated with a task of sampling the sensor, processing sensor data from the sensor into an encrypted message, and transmitting the encrypted message. The batteryless device transmits one or more of said encrypted messages using said wireless logic to a local device proximate to a location of the batteryless device. The one or more encrypted messages providing information related a state of a package to which the batteryless device is attached.

Abstract: Methods and systems are provided. One method includes processing operations to share electronic keys (e-keys). The method includes receiving a request to share an electronic key (e-key) of a vehicle with a recipient device. The request to share the e-key is initiated by sending a message to the recipient device using a sharing device. The method includes processing the request to validate the request to share the e-key, as received from the sharing device having associated therewith a registered owner e-key. Processing the request includes generating the e-key securely by the sharing device and registering the e-key that was generated with a server associated with a manufacturer of the vehicle. The method includes enabling the e-key for use on the vehicle by the recipient device responsive to said processing of the request. The request to share the e-key includes enabling a setting to apply a privilege level for use of the vehicle via the e-key.

Abstract: A method for providing real-time recommendations to user in a shopping environment involves sampling a shopping environment using video cameras to generate video features related to a shopper in connection to an item, the sampling input to a machine learning model to create labels related to a state of a scenario, the scenario including the shopper handling the item. Supplemental information is provided to the shopper in connection with the item. The makeup of the supplemental information may be sourced from online service or device associated with the shopper. The supplemental information may be delivered to the shopper, or to a shopper-aware display in the store, or elsewhere. A processing entity associated with the store detects a scenario to identify the shopper as having finished shopping, and causing a charge of the item to a cashierless shopping cart associated with the shopper.

Abstract: Methods and systems are provided. One example method includes providing a connection to the Internet for a vehicle via wireless connection circuitry associated with an on-board computer of the vehicle. The connection is used to communicate with a service, and a user account is assigned to a user and the user account is associated with settings of the user. The method includes providing communication, by the on-board computer, with a mobile device. The communication provides for pairing the mobile device with the on-board computer using credentials associated with the user account of the user. The method includes accessing, using the on-board computer, data from a mobile device application of the mobile device for rendering content to a display screen of the vehicle. At least some data accessed from the mobile device application is used to render said content to the display screen of the vehicle.

Abstract: A system and method for navigating a vehicle automatically from a current location to a destination location without a human operator is disclosed. The method includes identifying a vehicle location using global positioning system (GPS) data regarding the vehicle. Also included is identifying that the vehicle location is near or at a parking location. Then, using mapping data defined for the parking location. The mapping data at least in part is used to find a path at the parking location to avoid a collision of the vehicle with at least one physical structure when the vehicle is automatically moved at the parking location. The method includes instructing the electronics of the vehicle to proceed with controlling the vehicle to automatically move from the current location to the destination location at the parking location. The electronics use as input at least part of the mapping data and sensor data collected from around the vehicle by at least two vehicle sensors.

Abstract: Methods and systems are provided. One system is of a vehicle for processing communication with connected objects. The processing by the system uses a processor of the vehicle and processing and data from one or more servers of a cloud system. The connected objects include objects having communication capabilities that are either fixed at specific locations as infrastructure proximate to where the vehicle is located or locations proximate to where the vehicle is moving. The system includes a global positioning system of the vehicle for generating geo-location for the vehicle and a heading direction. The geo-location is configured to be shared with a server of the cloud system using a communications device of the vehicle. The server of the cloud system is configured to receive the geo-location of the vehicle to identify the heading direction of the vehicle.

Abstract: Methods and systems are provided. One method includes receiving, at a server, a geo-location of a vehicle. The method further includes receiving from time to time, at the server, vehicle condition. The method includes identifying a user account for the vehicle. The user account includes preferences associated with a profile of a user. The method also includes sending data to the vehicle. The data is for presentation on a display screen or output via an audio system of the vehicle. The data is selected based on a context of the geo-location and the vehicle condition or the preferences associated with the profile of the user. Interaction modes can be used to define what information is displayed and when information is provided to the display screen.

Abstract: Methods and systems for determining an emotion of a human driver of a vehicle and using the emotion for generating a vehicle response, is provided. One example method includes processing captured voice data from the human driver over a period of time while the human driver operates the vehicle. The method includes analyzing the voice data to assist in prediction of the emotion of the human driver. The method includes generating the vehicle response. The vehicle response is selected in part based on the emotion that was predicted for the human driver.

Abstract: Methods and systems are provided. One method includes processing operations to share electronic keys (e-keys). The method includes receiving a request to share an electronic key (e-key) of a vehicle with a recipient device. The request to share the e-key is initiated by sending a message to the recipient device using a sharing device. The method includes processing the request to validate the request to share the e-key, as received from the sharing device having associated therewith a registered owner e-key. Processing the request includes generating the e-key securely by the sharing device and registering the e-key that was generated with a server associated with a manufacturer of the vehicle. The method includes enabling the e-key for use on the vehicle by the recipient device responsive to said processing of the request. The request to share the e-key includes enabling a setting to apply a privilege level for use of the vehicle via the e-key.

Abstract: A method for providing real-time recommendations to user in a shopping environment involves sampling a shopping environment using video cameras to generate video features related to a shopper in connection to an item, the sampling input to a machine learning model to create labels related to a state of a scenario, the scenario including the shopper handling the item. Supplemental information is provided to the shopper in connection with the item. The makeup of the supplemental information may be sourced from online service or device associated with the shopper. The supplemental information may be delivered to the shopper, or to a shopper-aware display in the store, or elsewhere. A processing entity associated with the store detects a scenario to identify the shopper as having finished shopping, and causing a charge of the item to a cashierless shopping cart associated with the shopper.

Abstract: A system and method for navigating a vehicle automatically from a current location to a destination location without a human operator is disclosed. The method includes identifying a vehicle location using global positioning system (GPS) data regarding the vehicle. Also included is identifying that the vehicle location is near or at a parking location. Then, using mapping data defined for the parking location. The mapping data at least in part is used to find a path at the parking location to avoid a collision of the vehicle with at least one physical structure when the vehicle is automatically moved at the parking location. The method includes instructing the electronics of the vehicle to proceed with controlling the vehicle to automatically move from the current location to the destination location at the parking location. The electronics use as input at least part of the mapping data and sensor data collected from around the vehicle by at least two vehicle sensors.

Abstract: Method of identifying actions of a shopper to account for taken items by the shopper in a cashierless checkout includes sampling a shopping environment using one or more video cameras to generate video features related a shopper in connection to an item and sampling using one or more supplemental sensors to generate supplemental sensor feature data, receiving output of the sampled video and supplemental sensor features as feature inputs to a deep learning model used for making inferences related to the state of a scenario involving shopper action of taking the item into their possession or held and other actions including moving outside a zone initially associated with the item.

Abstract: A vehicle configured to communicate with a server of a cloud system to enable access to use the vehicle via one or more electronic keys is provided. The vehicle includes electronics and a subsystem of the vehicle for enabling unlocking of the vehicle. The subsystem is interfaced with the electronics and a subsystem of the vehicle for enabling starting of the vehicle for use of the vehicle. The vehicle further includes communications circuitry that is interfaced with electronics of the vehicle. The communications circuitry is programmable to communicate with the server of the cloud system and communicate with a mobile device. The communications circuitry of the vehicle is configured to receive a request from the mobile device for unlocking of the vehicle. The request from the mobile device includes coded data obtained by the mobile device from the server to enable sending the request to the vehicle. The coded data is associated with privileges for use of the vehicle.

Abstract: Methods and systems are provided. One system is of a vehicle for processing communication with connected objects. The processing by the system uses a processor of the vehicle and processing and data from one or more servers of a cloud system. The connected objects include objects having communication capabilities that are either fixed at specific locations as infrastructure proximate to where the vehicle is located or locations proximate to where the vehicle is moving. The system includes a global positioning system of the vehicle for generating geo-location for the vehicle and a heading direction. The geo-location is configured to be shared with a server of the cloud system using a communications device of the vehicle. The server of the cloud system is configured to receive the geo-location of the vehicle to identify the heading direction of the vehicle.

Abstract: Methods and vehicle interfaces are provided. One example method includes receiving, by a cloud processing service, data from a vehicle over a wireless network. The data includes information usable to identify a user account. The user account is accessible by one or more processing entities of the cloud processing service to identify a profile of a user. The profile of the user includes preferences of the user for the vehicle and learned behavior data of the user for the vehicle. Confirming, by one or more of said process entities, an identity of the user. Identifying, by one or more of said process entities, the preferences of the user responsive to confirming said identity of the user. Sending, by one or more of said process entities, the preferences of the user for the vehicle to electronics of the vehicle. The preferences including an assignment of control functions and associated display interface data to be rendered on display screen of a plurality of dials of a control interface of the vehicle.

Abstract: Methods and systems are provided. One method includes processing operations to share electronic keys (e-keys). The method includes receiving a request to share an electronic key (e-key) of a vehicle with a recipient device. The request to share the e-key is initiated by sending a message to the recipient device using a sharing device. The method includes processing the request to validate the request to share the e-key, as received from the sharing device having associated therewith a registered owner e-key. Processing the request includes generating the e-key securely by the sharing device and registering the e-key that was generated with a server associated with a manufacturer of the vehicle. The method includes enabling the e-key for use on the vehicle by the recipient device responsive to said processing of the request. The request to share the e-key includes enabling a setting to apply a privilege level for use of the vehicle via the e-key.

Abstract: Methods and system for processing shopping activity for a retail store are provided. One example method includes associating a plurality of sensor devices to monitor a shelf of the retail store. The shelf having one or more physical items and each of the physical items is capable of being associated with a state change in response to user interaction. The method includes detecting user interaction by a user in the retail store with a physical item of the one or more physical items. The user interaction causes the state change in a sensor device associated with the shelf, and responsive to the state change transmitting a message related to the state change over a network to an end node. The end node is configured to receive the message causing processing of an action based on the message. The one or more physical items are offered for sale in the store and data regarding the user interaction of the physical item is associated to a user account of the user.

Abstract: A cashierless tracking system uses a biometric sensor disposed at the entry of a store or the entry of a shelf or an entry to a section of a store is configured to capture biometric feature aspects of a user. Cashierless shopping is enabled without requiring a user to supply mobile phone or device to identify themselves. Instead, processing and classification of biometric features occur via a neural network to identify at least one label representing classified features of the user, the label being used to identify a profile for the user. A plurality of sensors in the store produces data to identify a take of an item by a single user or by a group of users tied to a single account. Included tracking embodiments involve overlapping cameras, skeletal tracking, microphone input, feature extraction and/or feature engineering. The take of the item is chargeable to an electronic shopping cart of the user.

Abstract: Methods and systems related to tracking activity in a store in association with a cashier-less environment are provided. One example method includes identifying actions in a store. The method includes sampling a shopping environment using one or more sensors that include at least one camera capable of providing depth sensing to produce image data of a scene that shows a shopper in the store and tracking data related to one or more limbs of the shopper in connection to an item. The method includes receiving output of the sampling as feature inputs to one or more machine learning models and deriving one or more label inferences of a behavior state of the shopper in connection with a state of the item. At least one processing entity associated with the store detects the state of the item to change from one as item handled by said shopper to one as item queued for purchase.

Abstract: A computer implemented method for managing charge availability of a charge unit (CU) to obtain charge for a battery of an electric vehicle (EV) is provided. The CU includes a computer for processing at least part of the method and for communicating with a server over a network. The method includes receiving, by the server, status information from the computer of the CU. The method includes sending to the computer of the CU instructions to make a reservation for the CU. The reservation is for a user account that has requested a desire to charge the battery of the electric vehicle of the user at the CU or another CU. The method includes sending, by the server, a confirmation for the reservation to the user account. The confirmation is viewable via a device having access to the server via the user account. The method includes sending, by the server, a data regarding a time of availability of the CU to the user account for the reservation.