Toyota Jidosha Kabushiki Kaisha

Comcast Cable Communications, LLC

Toyoda Jidosha Kabushiki Kaisha

David Frank Russell Weir

Roger D Melen

Yaron Sheba

Michael Alexander Yurochko

Rajiv Ramanasankaran

David Kenneth Evans

Kristopher Charles Linquist

Hitesh Kalra

Vinuth Rai

Shalin Harshadkumar Patel

Kentaro Oguchi

Divya Sai Toopran

The present disclosure relates to configuring and operating Internet of things (IoT) elements connected by a network. A computing device receives an interface component corresponding to an IoT element. The computing device retrieves a description of the interface component at least describing a set of restrictions of an operation of the IoT element. The computing device deploys the interface component in the computing device to at least translate events and commands specific to the IoT element to common events and commands for processing in the computing device. The computing device sends at least a subset of the description of the interface component to a user device to cause the user device to generate a user interface for configuring the operation of the IoT element.

Unified description scheme for controlling and operating network connected devices

The present disclosure relates to configuring and operating Internet of things (IoT) elements connected by a network. A computing device receives a request to generate a rule for coordinating operation of a plurality of IoT elements. The computing device determines whether the request satisfies restrictions as described in descriptions of interface components of the plurality of IoT elements in the computing device by referencing descriptions of interface components. The interface components correspond to the plurality of IoT elements. The computing device generates the rule responsive to determining that the request satisfies the restrictions, and sends an action signal over the network based on the rule to operate one or more of the plurality of IoT elements.

Platform for controlling and operating network connected devices

The disclosure includes technology for estimating journey destinations based on crow-sourced popularity factors. The technology includes an example system including a processor and a memory storing instructions that when executed cause the system to: receive location data; determine a current route associated with a user based on the location data; determine one or more crowd-sourced popularity factors; estimate one or more destination estimations along the current route based on the one or more crowd-sourced popularity factors; and suggest the one or more destination estimations to the user.

Estimating journey destination based on popularity factors

The disclosure includes a system and method for providing zone information to a user. The system includes a processor and a memory storing instructions that when executed cause the system to: receive data describing a current location and a travel speed associated with a user; determine a travel status associated with the user based on the current location and the travel speed; create a zone of relevance for the user based on the travel status, the zone of relevance including one or more regions with each region being mapped to one or more regional circles; generate one or more queries for the zone of relevance; retrieve one or more query results that match the zone of relevance using the one or more queries; process the one or more query results to generate zone information relevant to the user; and provide the zone information to the user.

System for proving proactive zone information

The disclosure includes a system and method for generating a probability model used to estimate most likely routes for users. The system includes one or more processors configured to retrieve route data describing historical routes traveled by a group of users and map date describing a map, match the historical routes to the map, identify one or more intersections associated with the historical routes on the map, determine a maneuver ratio for one of the intersections based on the route data, and generate a probability model including one or more maneuver ratios for the one or more intersections. A maneuver ratio describes a ratio of a maneuver that the group of users has taken at the one of the intersections.

Navigation system for estimating routes for users

The disclosure includes a system and method for providing personalized recommendations. The system includes a navigation application comprising a route engine, an intersection extractor, a historical analyzer and a user interface module. The processing unit receives data and transmits the data to the corresponding component in the navigation application. The route engine determines a new route from a first location to a second location for a user, the new route comprising directions for each portion of the new route. The intersection extractor identifies intersections that occur on the new route. The historical analyzer determines historical routes traveled by the user, compares the new route to the historical route to identify which portions and intersections in the new route are familiar to the user and removes directions for the portions of the new route that are familiar. The user interface module provides the new route to the user.

Navigation system for providing personalized directions

A system and method for estimating journey destinations is disclosed. The system comprises a conversion module, a frequency module, a metric module, a quality module and a summary module. The conversion module converts a set of driver history data to a set of learning parameters. The frequency module analyzes the set of learning parameters and current journey data to generate estimated journey data describing one or more potential journeys. The metric module analyzes the estimated journey data and the set of current status data to determine one or more metrics associated with the estimated journey data. The quality module determines one or more quality scores associated with the estimated journey data. The summary module determines one or more status summaries and one or more estimate summaries. The summary module associates the one or more status summaries and the one or more estimate summaries with the estimated journey data.

Journey learning system

A system and method for establishing a journey destination endpoint is disclosed. The system comprises a communication module, a stop classification module and an endpoint establishment module. The communication module receives a stream of data including a first data element and a second data element from a global positioning system. The communication module receives a set of sensor data from one or more sensors. The stop classification module detects a stop for a traveling vehicle based at least in part on the stream of data and the set of sensor data. The stop classification module applies one or more metric criteria to the first data element and the second data element to determine a type of the stop. The endpoint establishment module establishes a journey destination endpoint based on the type of the stop. The endpoint establishment module associates the journey destination endpoint with retrieval identification data.

Growing community of inventors

San Jose, CA, United States of America

David Frank Russell Weir