Toyota Motor Engineering & Manufacturing North America, Inc.

Toyota Jidosha Kabushiki Kaisha

Toyota Motor North America, Inc.

Prince R Remegio

Roger Akira Kyle

Scott A Friedman

Luke D Heide

Nishikant Narayan Puranik

Tim Uwe Falkenmayer

Ryoma Kakimi

Bryan Else Yamasaki

Timothy Wang

Justin K Shen

Jackson Zhu

A method for a vehicle having a main battery and a reserve energy storage device is provided. The method includes determining occurrence of a triggering event associated with the vehicle, and transferring power from the main battery to the reserve energy storage device in response to the triggering event to render the vehicle not drivable.

Methods and systems for vehicles having battery and reserve energy storage device

Systems and methods are provided for determining features in a vehicle. The interior of the vehicle can be scanned with a camera of a mobile device to locate one or more symbols or shapes within the interior. The one or more symbols or shapes can be processed using one or more machine learning models to obtain data associated with the one or more symbols or shapes. The data associated with the one or more symbols or shapes can be displayed to a driver of the vehicle.

Application for the identification of vehicle features

Systems and methods for sending content are provided. One embodiment of a method includes identifying content provided to a user, receiving an indication that the user desires to share the content to a recipient, and determining a content provider that provided the content to the user and a preferred content provider of the recipient. Some embodiments are configured for determining an address associated with the recipient and providing instructions for the preferred content provider to provide the content to the recipient.

Systems and methods for sending content

The present disclosure relates to an automotive virtual personal assistant configured to provide intelligent support to a user, mindful of the user environment both in and out of a vehicle. Further, the automotive virtual personal assistant is configured to contextualize user-specific vehicle-based and cloud-based data to intimately interact with the user and predict future user actions. Vehicle-based data may include spoken natural language, visible and infrared camera video, as well as on-board sensors of the type commonly found in vehicles. Cloud-based data may include web searchable content and connectivity to personal user accounts, fully integrated to provide an attentive and predictive user experience. In contextualizing and communicating these data, the automotive virtual personal assistant provides improved safety and an enhanced user experience.

Automotive virtual personal assistant

A method, a system, and non-transitory computer readable medium for vehicle sharing are provided. The method includes receiving a user request via a ride share agent. The ride share agent is communicatively coupled to a server. The method further includes identifying a vehicle from one of ride share providers based on the user request, retrieving one or more settings associated with one or more systems of the identified vehicle from the server, determining a setting of a system of the identified vehicle based on at least one physical characteristic of the user when the setting of the system is not stored in the server, and implementing the one or more settings on the identified vehicle.

System and method for vehicle sharing

A method and system for selecting a point of interest are provided. The method includes receiving a user request from a vehicle user, determining a wait time for each of a plurality of points of interest, identifying a point of interest from the plurality points of interest based on the user request and the determined wait times at the plurality of points of interest, receiving a user input from the vehicle user, and updating navigation directions of a vehicle based on the identified point of interest when the user input includes an acknowledgment of the identified point of interest.

System and method for selecting a point of interest based on wait time

A vehicle virtual assistance system include one or more processors, one or more memory modules communicatively coupled to the one or more processors, a microphone communicatively coupled to the one or more processors, wherein the microphone receives acoustic vibrations, and machine readable instructions stored in the one or more memory modules. The vehicle virtual assistance system receives, through the microphone, a voice request for a meal from a user of a vehicle, determines a recipe for the meal based on the voice request, retrieve one or more ingredients based on the recipe, locates a store within a predetermined distance from the vehicle, and transmits an instruction related to the one or more ingredients to a store.

Vehicle virtual assistance systems for expediting a meal preparing process

Methods and systems for communicating with a vehicle companion are disclosed. The vehicle companion can include receiving state information about an operator and environmental information about a vehicular environment. A cognitive load and a cognitive requirement can be determined using the state information and the environmental information, respectively. The cognitive load and the cognitive requirement are then compared to determine if an intervention indicator exists. The vehicle companion can then enter into conversation with the operator in response to the intervention indicator, including topics selected based on the operator's personality.

Co-pilot and conversational companion

A method and device are provided to monitor a wireless link state for an electric-powered vehicle, and comparing the wireless link state with a wireless-link trigger condition. When the wireless link state compares favorably with the wireless-link trigger condition, a thick-client application request may be transmitted based on the wireless-link trigger condition. A thick-client application load is received in response, and the thin-client application is transitioned to a thick-client application.

Network cloud load distribution for an electric vehicle application

Methods, systems, and vehicle components for providing a corrected pronunciation suggestion to a user are disclosed. A method includes receiving, by a microphone communicatively coupled to a processing device, a voice input from the user, the voice input including a particularly pronounced word. The method further includes comparing, by the processing device, the particularly pronounced word to one or more reference words in a reference table, determining, by the processing device, that the particularly pronounced word has been potentially mispronounced by the user based on the one or more reference words in the reference table, determining, by the processing device, a corrected pronunciation suggestion from the one or more reference words, and providing, via a user interface, the corrected pronunciation suggestion to the user.

Systems and methods for determining correct pronunciation of dictated words

Systems, methods, and vehicle components for determining user frustration are disclosed. A method includes receiving, by a microphone communicatively coupled to a processing device, a voice input from a user, the voice input corresponding to an interaction between the user and a voice recognition system and including indicators of the user frustration. The method further includes determining, by the processing device, that the user is frustrated from the indicators, connecting, by the processing device, the user to a call center operator, transmitting, by the processing device, data to a call center computing device associated with the call center operator, the data corresponding to a user input and/or a vehicle response that resulted in the user frustration, receiving, by the processing device, commands from the call center computing device, and executing, by the processing device, processes that correspond to the commands.

Growing community of inventors

Lewisville, TX, United States of America

Prince R Remegio