Ford Global Technologies, LLC

Jake S Schwartz

John Robert Van Wiemeersch

Ali Hassani

Justin Miller, Jr

Medha Karkare

Mahmoud Yousef Ghannam

Robert Schroeter

Brian Bennie

Jonathan Diedrich

Nicholas Alexander Scheufler

Ranjani Rangarajan

Leah N Busch

Mark Gehrke

Arun Dutta

Aaron Matthew Delong

David Hiskens

Eric Robert Krieger

David Graham Smith

Thomas Chrapkiewicz

Martin Van Hoeckel

Mackenzie Martinez

A vehicle includes a window separating a compartment of the vehicle from a region external to the vehicle. The window includes an outer surface. An imaging device is in the compartment and configured to capture an image of the region external to the vehicle through the window. Control circuitry is in communication with the imaging device and configured to receive the image from the imaging device, detect an obstruction in the image data corresponding to a substance on the window, and generate an output in response to the detection of the obstruction, wherein the imaging device is disposed within 50 millimeters (mm) from the window.

Visibility obstruction detection for a vehicle

While a vehicle is off, an automatic trigger strategy activates a heating device that melts snow and ice off exterior vehicle sensors as it is needed. The automatic trigger strategy determines when to turn on the heating device while the vehicle is in a limited power state by using data pulled from memory or data obtained from a current data check. Collected, analyzed, and stored during key-off, data pulled from memory allows the invention to accurately choose the correct time to start the heating device without consuming additional power. If current data checks are required because data saved at key-off is not enough information to execute a decision, the invention may determine the least power consuming data checks. A power manager extends a threshold that is dependent on the energy reserve. Once the energy reserve is below the threshold, the power manager inactivates the heating device and voids manual commands.

Automatic trigger strategy for clearing exterior biometric sensors

Upon obtaining biometric data for a user of a structure while the user is outside the structure, user data for the user is updated based on a confidence score for the biometric data exceeding a first confidence threshold. Based on the confidence score for the biometric data not exceeding the first confidence threshold, instructions are provided to the user to provide updated biometric data. Then the user data is updated based on a confidence score for the updated biometric data exceeding a second confidence threshold. The second confidence threshold is greater than the first confidence threshold. Structure components are controlled based on the updated user data.

Enhanced biometric authorization

This disclosure is generally directed to systems and methods related to tool tracking. In an example embodiment, a method may involve detecting, by a tool monitoring device, a failure of a wireless communication system included in a tool that is stored in an enclosure. The tool monitoring device may determine that the failure is attributable to a temperature in the enclosure being outside an operating temperature range of the wireless communication system. A notification of the failure and/or a description of a cause for the failure may be displayed on a display screen of the tool monitoring device and/or transmitted to a tool tracking device. In an example implementation, the tool tracking device is located outside a vehicle, the enclosure is a toolbox placed in the vehicle, and the tool monitoring device, which is configured to monitor an operational status of the wireless communication system, is located in the vehicle.

Systems and methods for tracking a tool stored in an enclosure

A brightness management system for a vehicle includes a network providing wireless communication for a vehicle environment, a mobile device in the vehicle environment and including a first light detector for detecting a first light level at a first location of the mobile device, at least one vehicle display coupled with the vehicle and having at least one brightness level, and control circuitry communicatively coupled with the mobile device and the at least one vehicle display via the network. The control circuitry is configured to detect the first location of the mobile device in the vehicle, receive an indication of the first light level from the mobile device, and communicate a signal to adjust the at least one brightness level of the at least one vehicle display based on the first location and the first light level.

Brightness management for a vehicle environment

A first computer and a second computer are each connected to a communication network. User data is generated for a user by the first computer based on receiving, from the second computer, initial enrollment biometric data for the user. The user is authorized by the first computer based on a confidence score for challenge biometric data exceeding a first confidence threshold. Then the user data is updated with updated enrollment biometric data by the first computer based on a confidence score for the updated enrollment biometric data exceeding a second confidence threshold. The second confidence threshold is greater than the first confidence threshold. The initial enrollment biometric data is deleted by the second computer after a predetermined time of receiving the initial enrollment biometric data.

Upon authorizing a user via challenge biometric data, user data is determined to be updated based on detecting a trigger. Upon detecting the trigger prior to authenticating the user, the user data is updated with the challenge biometric data based on authenticating the user. Upon detecting the trigger after authenticating the user, the user data is updated with updated challenge biometric data based on a confidence score for the second biometric data exceeding a threshold. Structure components are controlled based on the updated user data.

A vehicle characterizes a sunload on the vehicle using an imaging system including at least one camera capturing image data (e.g., without using an ambient light sensor). The image data includes at least a portion of a passenger cabin. A region of interest (ROI) overlay receives the image data and extracts selected image data according to predetermined scene elements of the vehicle environment. An occupant overlay is configured to detect a vehicle occupant represented in the selected image data and configured to generate truncated image data by subtracting image data corresponding to the vehicle occupant from the selected image data. An ambient light model uses environmental parameters including a sun position to estimate an expected sunload range. A mapper generates a sunload map comprising respective sunload values for a plurality of locations on the vehicle according to the truncated image data and the expected sunload range.

Camera-based vehicle sunload mapping

A system for dynamically controlling an echo canceler includes a processor programmed to receive audio data from an audio sensor, to determine a present type of noise in the received audio data, based on the present type of noise, to determine a number of taps to be removed from an echo canceler, and to execute the echo canceler with a reduced number of taps based on the number of taps to be removed.

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Dearborn, MI, United States of America

Jake S Schwartz