Ford Global Technolgoies, LLC

Padma Aiswarya Kolisetty

Kwaku O Prakah-Asante

Yifan Chen

Hsin-Hsiang Yang

Basavaraj Tonshal

Gary Steven Strumolo

David Anthony Hatton

Johannes Geir Kristinsson

Krishnaswamy Venkatesh Prasad

Hussein F Nasrallah

Tom Nelson

Data about a skin response characteristic are collected from a vehicle occupant. A target cabin temperature is determined based on the skin data. A climate control system is adjusted based on the target cabin temperature.

Enhanced climate control

A device that includes a processor and a memory, the memory storing instructions executable by the processor such that the device is programmed to identify a wearable device and a set of vehicle data from a vehicle. The user device sends a human machine interface (HMI) message to the wearable device. The HMI message is based at least in part on the set of vehicle data.

Customizable reporting with a wearable device

A system of one or more computers can be configured to perform particular operations or actions by virtue of having software, firmware, hardware, or a combination of them installed on a user device that includes a processor and a memory, the memory storing instructions executable by the processor such that the device is programmed to: send a trigger configuration file to a vehicle computer in a vehicle; receive an indication of a trigger from the vehicle computer; receive an input from a wearable device; and execute a task, based on the input and the trigger. Other embodiments of this aspect include corresponding computer systems, apparatus, and computer programs recorded on one or more computer storage devices, each configured to perform the actions of the methods.

Wearable device configuration using vehicle and cloud event data

A headway between a first vehicle and a second vehicle is determined. A predicted time to collision between the first vehicle and the second vehicle is determined. A first mechanism in a wearable device in the first vehicle is actuated when the headway is less than a predetermined threshold. A second mechanism in the first vehicle is actuated when the predicted time to collision is less than a second predetermined threshold.

Enhanced collision avoidance

A time to lane crossing that is a measure of a time for a vehicle to cross from a lane to another lane, is determined. A lane negotiation characteristic that is a measure of a mean vehicle offset front the lane, is determined. A first mechanism is actuated in a wearable device when the time to lane crossing is below a first threshold and the lane negotiation characteristic exceeds a second threshold. A second mechanism is actuated in the vehicle when a lane negotiation controller detects an imminent lane departure.

Enhanced lane negotiation

A first output mechanism in a wearable device is actuated when a vehicle reverse speed exceeds a first threshold. A second output mechanism in a vehicle is actuated when a rear obstacle collision detection controller detects an impending collision with a rear obstacle.

Enhanced rear obstacle detection

Data on an impending curve, speed, and acceleration of a vehicle are collected. A curve attention output that is a measure of the vehicle speed, the vehicle acceleration, and the curvature of the impending curve is determined based at least in part on the data. An output mechanism in a wearable device is activated at a first intensity when the curve attention output exceeds or is equal to a first threshold and below a second threshold. The output mechanism is activated at a second intensity when the curve attention output exceeds or is equal to the second threshold and below a third threshold.

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Chennai, India

Padma Aiswarya Kolisetty