Ford Global Technolgoies, LLC

Yuzhou Li

Grant Inskeep

Zhen Jiang

Yan Fu

Aysha Habbaba

William Donald Hass

Roy Zhou

Addarsh Chandrasekar

Alexander Brudner

Tatiana Ferreyra

Techniques and examples pertaining to parking management and communication of parking information are described. A processor of a computing apparatus may obtain sensor data regarding a parking lot from a parking lot controller. The processor may analyze the sensor data. The processor may receive, from a client, a request for assistance with parking at the parking lot. The processor may provide, to the client, information on a location and status of a space (e.g., open space) in the parking lot, a path to the space, or both.

Parking management and communication of parking information

Example steering assistance systems and methods are described. In one implementation, a controller receives inputs from one or more sensors mounted to a vehicle. The controller processes the inputs from the one or more sensors to determine whether a steering change is needed. Responsive to determining that a steering change is needed, the controller provides a steering change recommendation to a driver of the vehicle via a physical rotation of the vehicle steering wheel in a recommended direction.

Steering assistance systems and methods

A manual mode training system for a vehicle having a manual transmission or a 'manual mode' transmission controlled by a paddle shifter. The system includes a sensor to obtain force and position information from a foot pedal of the vehicle, and a processor to receive the information. Based on the information, the processor may predict an intended vehicle response, determine an appropriate gear to achieve the intended vehicle response, and notify a driver, through a haptic feedback mechanism, how to shift the transmission of the vehicle to reach the appropriate gear. A corresponding method is also disclosed and claimed herein.

Manual mode training system

A computer system receives data sets for a driving maneuver at a location, such as data regarding a state of a vehicle, an external environment indicated by external sensors, and user feedback regarding the driving maneuver. Data sets may be collected from users having various demographic and behavioral attributes. Users may be selected using design of experiment (DOE) algorithms to cover a wide range of possible combinations. A stochastic response surface model (SRSM) is generated that relates sensor data (vehicle state and environmental) to user feedback regarding safety and comfort. The SRSM may be generated using Gaussian process regression (GPR) in order to model uncertainty. The SRSM is then used to generate a control model using an optimization under uncertainty (OUU) algorithm.

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Dearborn, MI, United States of America

Yuzhou Li