Toyota Motor North America, Inc.

Toyota Connected North America, Inc.

Toyota Motor Engineering & Manufacturing North America, Inc.

Toyota Jidosha Kabushiki Kaisha

Denso International America, Inc.

Toyota Conected North America, Inc.

Sergei I Gage

Yang Ding

Simon P Roberts

Christopher J Macpherson

Daniel Warren Reaser

Derek A Thompson

Keaton Khonsari

Jessica May

Michael R Kushnerik

Cory M Frank

Matthew J Everett

Naohiro J Matsumura

Arata Sato

Joshua C Batie

Nicholas Scott Sitarski

James H Kikuma

Michael D Dorazio

Ida Tem Mai-Krist

Daniel C Bracken

Randy Kaushek

Jay Robert Gloomis

Jiju Thomas

Isabel Rios

Judy K Chen

Juan Acosta

Yusra El-Sharkawy

An example operation includes recording, from a vehicle sensor, data indicative of a plurality of movements of a first occupant in an interior of a vehicle; determining, from the recording, a first maximum range of extension among the plurality of movements, and a first amount of time between a first movement and a second movement of the plurality of movements; and assigning the first occupant to one of a plurality of age groups, based upon the determining.

In-cabin occupant age determination

An example operation includes one or more of determining a movement of an occupant in a vehicle, determining an atypical health condition based on the movement and a position of the occupant in the vehicle, determining if the occupant is breathing, based on an analysis performed by the vehicle, verifying the atypical health condition by the vehicle, based on received data from a device proximate the occupant, and sending a notification to an entity, based on the verification.

Occupant condition detection and response

An example operation includes one or more of receiving a call on a device associated with an occupant of a vehicle, determining a noise level proximate the occupant, and directing the call to a speaker proximate the occupant, based on the noise level.

Dynamic audio control

A system is provided for use with over-the-air (OTA) analytic data corresponding to OTA aggregate data associated with an OTA push of a software update to a plurality of devices. The system includes: a data receiver configured to receive the OTA aggregate data; a memory having instructions stored therein; and a processor configured to execute the instructions stored in the memory to cause the system to: store the received OTA aggregate data into the memory; analyze the OTA aggregate data to determine an optimized time period for the OTA push; predict a future OTA push time period based on the optimized time period; and generate a future OTA push instruction based on the predicted future OTA push time period.

Over the air analytics

An example operation includes one or more of receiving a scan of a cabin of a vehicle, wherein the scan includes a spatial region inside the vehicle and outside the vehicle proximate at least one vehicle door, determining at least one occupant characteristic based on the scan, including a classification detection and a presence detection of at least one seat inside the vehicle, determining a cabin status based on the at least one occupant characteristic and communicating the cabin status to a mobile device.

In-cabin detection framework

A vehicle system includes a vehicle body defining a vehicle interior and a vehicle exterior, one or more detection devices including at least one of a microphone and a camera structurally configured to receive data indicative of conditions within the vehicle interior or on the vehicle exterior, a sanitization device, and a controller communicatively coupled to the one or more detection devices and the sanitization device, the controller including a processor and a non-transitory computer readable and executable instruction set, which when executed, causes the processor to receives data from the one or more detection devices, determine a surface at least one of within the vehicle interior or on the vehicle exterior contacted by a user based at least in part on the data from the one or more detection devices, and direct the sanitization device to sanitize the surface.

Vehicle sanitizing systems and methods for using the same

An example operation includes detecting, by a vehicle, a location of a first potential passenger proximate to a road; determining, by the vehicle, a first road safety level of a pick-up for the first potential passenger; denying, by the vehicle, the pick-up for the first potential passenger when the determined first road safety level is below a threshold; determining, by the vehicle, a second road safety level of a pick-up for a second potential passenger; and picking up, by the vehicle, the second potential passenger, when the second road safety level is above the threshold.

Vehicle action determination based on occupant characteristics

An example operation includes one or more of: detecting that a plurality of wireless devices are located in a vehicle; pairing a wireless device of the plurality of wireless devices and a head unit of the vehicle, when the wireless device is receiving or transmitting audio; and transmitting the audio through the head unit of the vehicle.

Enhanced pairing to facilitate seamless bluetooth / WiFi connectivity

An example operation includes one or more of determining one or more objects in a transport that may become airborne and altering a portion of the transport to minimize the one or more objects from becoming airborne during a collision.

Minimizing airborne objects in a collision

Provided is a process that includes one or more of receiving data from sensors on a vehicle, where the data is associated with an internal environment of the vehicle and characteristics of an occupant of the vehicle and modifying functionality of the vehicle based on the received data. Modifying functionality includes updating a graphical user interface (GUI) of the vehicle and a GUI of a device associated with the occupant.

Dynamic GUI based on enhanced functionality

Display screen or portion thereof with graphical user interface

An example operation includes one or more of detecting a movement of an object in a vehicle when the vehicle is in motion, and determining that the object is an inanimate object, based on a vertical and horizontal distance of the detected movement.

In-cabin occupant detection

An example operation includes one or more of determining a level of risk of a collision of a transport, wherein the level of risk is related to an occupant of the transport and an environment of the transport, accumulating an amount of data based on the level of risk, preparing the accumulated data for sending to one or more recipients when the level of risk exceeds a risk threshold, and sending the prepared data to the one or more recipients when the collision occurs.

Message construction based on potential for collision

An example operation includes one or more of detecting a living element in a transport, determining a dangerous condition exists in response to an internal temperature of the transport is outside of a threshold and a negative characteristic is associated with the living element, and positioning the transport to a location to reduce the dangerous condition.

Protecting living objects in transports

Systems, methods, and other embodiments described herein relate to sensing ingress of water in a vehicle. In one embodiment, a method includes acquiring, from a radar of a vehicle, radar data about a passenger cabin of the vehicle. The method includes determining a current state of the passenger cabin according to the radar data. The method includes, responsive to identifying that the current state indicates an ingress of water into the passenger cabin, generating a response to the ingress of the water.

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Redford, MI, United States of America

Sergei I Gage