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MACHINE LEARNING
MACHINE LEARNING
Vehicle software can determine the plurality of lane change maneuvers based on TTC. This displays that field of safe travel to the occupant containing the timely and strictly necessary information from which to act upon.
A vehicle controller identifies a vehicle display within a driver field of view, identifies elements of viewable content including primary elements of viewable content deemed high priority for a current driving situation and secondary elements of viewable content that are driver-specified and deemed safe to display in accordance with a driver workload estimation, receives viewable content, and displays the identified elements of the viewable content on the vehicle display.
A method for a secure Passive Entry Passive Start (PEPS) authentication protocol measures the walking gait of a user approaching a related vehicle using a passive key device carried by the user.
AI SYSTEMS
AI SYSTEMS
This idea proposed the mounting and use of the driver's cell phone camera to enable computer vision algorithms directed towards driver state estimation.
Built a custom key fob with an internal accelerometer spec’d similarly to those in a cell phone at the time and used it to capture human gait data through multiple studies. ML techniques were used to create and demonstrate real-time identification.
Co-developed with the University of Michigan a unified approach to interacting with multiple conversational agents using a novel encoder for multi-agent response selection. This enables a seamless user experience that delivers more value than any one agent in isolation.
A system and method for controlling the performance of complex operations on a dashboard-mounted touchscreen in a vehicle moving above a predetermined minimal speed.
As a result of customer frustrations to the passenger of a vehicle being locked out of accessing parts of the menu, a gesture classification to identify the hand approaching the display as the driver or passenger was created.
The vehicle initiates a shutdown sequence when no passengers are present in the vehicle.
HUMAN FACTORS
HUMAN FACTORS
A system includes a control computer that is programmed to perform an authentication based on an encryption key , upon being connected to a vehicle communication network.
AUTOMATED DRIVING
AUTOMATED DRIVING
An emergency in-lane steering assist system for use during a braking event where distance from the object to the motor vehicle is determined and a velocity sensor providing data from which the forward velocity of the motor vehicle is determined.
A computing device in a vehicle can determine a time bound for a lane change maneuver based on determining a reaction time , an occupant acceptance time , a vehicle maneuver time and a maneuver cancellation time and request authorization to perform the lane change maneuver.
A controller programmed to determine a time to collision or TTC and a field of safe travel and deliver haptic steering patterns as guidance cues through the steering wheel based on the urgency of the situation.
A computer in a vehicle is programmed to instruct a steering system of the vehicle to perform a lateral steering action depending on whether a steering - wheel angle is greater than a threshold angle , and to determine and apply an amount of torque to a steering wheel based on comparing the steering wheel angle to the threshold angle.
The result of a joint collaboration with Stanford University. A computer in a vehicle is programmed to change a steering angle of the vehicle and rotate a steering wheel of the vehicle to a steering - wheel angle based on the steering angle at a preset future time and a determined ratio of the steering wheel angle to the steering angle. The determined ratio varies based at least on vehicle speed.
A real-time projection of the steerable path as inputs are made to the controller in this case the driver inputs to the steering wheel.
A computing device that pilots a vehicle by adaptive cruise control and determine a lane change maneuver based on the adaptive cruise control and determined traffic in an adjacent lane.
A computing device in a vehicle can be programmed to display a predicted path based on a planned lane change maneuver and execute the lane change maneuver. While the lane change maneuver is being executed, the computing device can update the predicted path display based on the lane change maneuver.
Using a motor cortex signal from a brain activity monitoring device attached to the driver we hypothesize the ability to detect driver drowsiness.
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