Ford Global Technologies, LLC

Ford Motor Company Limited

Other

Livio, Inc.

John Robert Van Wiemeersch

Stuart C Salter

Vivekanandh Elangovan

Ali Hassani

Erick Michael Lavoie

Robert Bruce Kleve

Pietro Buttolo

Kevin Thomas Hille

Paul Kenneth Dellock

Ryan Edwin Hanson

Patrick Kevin Holub

Brendan F Diamond

Hamid M Golgiri

Hussein H Berry

Michael Hrecznyj

Aaron Matthew DeLong

Brian Bennie

David Brian Glickman

Steven Yellin Schondorf

Dilip B Patel

Ronald Patrick Brombach

Laura Viviana Hazebrouck

Annette Lynn Huebner

Thomas Lee Miller

Kristopher Karl Brown

Thomas Joseph Hermann

Timothy Thivierge, Jr

Mahmoud Yousef Ghannam

Daniel M King

Keith Weston

Eric L Reed

Lisa Therese Boran

Karl Wojcik

Tarik Safir

Anthony Dwayne Cooprider

Kosta Papanikolaou

Donald Paul Bilger

Sam Harris

Adil Nizam Siddiqui

Brad Alan Ignaczak

Howard Paul Tsvi Linden

Jeffrey Allen Greenberg

Cynthia M Neubecker

Zeljko Deljevic

Justin Miller, Jr

Jayanthi Rao

Joshua R Wheeler

Ritesh Pandya

Peter Phung

John Thomas Ricks

Scott Alan Watkins

Oliver Lei

Aaron Lewis Mills

Ryan J O'Gorman

Paul Aldighieri

Scott Howard Gaboury

Gregory Paul Thomas

Edward Andrew Pleet

Brian Petersen

Shiqi Qiu

Ross Dykstra Pursifull

Cornel Lewis Gardner

Clay Wesley Maranville

Jonathan Diedrich

Robert Spahl

Richard William Kautz

Michael Alan Mcnees

Lawrence Daniel Cepuran

Walter Joseph Talamonti

Mark Larry

Aed M Dudar

Mark Anthony Cuddihy

Gary Steven Strumolo

Oleg Yurievitch Gusikhin

Aaron Bradley Johnson

Mahendra Somasara Dassanayake

Andrew Denis Lewandowski

Ronald Hugh Miller

David James Tippy

Jordan Barrett

Darrel Alan Recker

Scott Andrew Amman

Anthony Ligi, Jr

Pramita Mitra

David Celinske

Rajesh K Patel

Mark Douglas Malone

Joey Ray Grover

Scott Smereka

Patrick Lawrence Jackson Van Hoecke

Ahmed Benmimoun

William Najib Mansur

David Anthony Symanow

Danielle Rosenblatt

Jonathan Hair

Tuan Anh Be

Anthony Melatti

Justin Dickow

Christopher Charles Hunt

Output can be provided from a selected biometric analysis task that is one of a plurality of biometric analysis tasks based on an image provided from an image sensor. The selected biometric analysis task can be performed in a deep neural network that includes a common feature extraction neural network, a plurality of biometric task-specific neural networks and a plurality of expert pooling neural networks that perform the plurality of biometric analysis tasks by inputting the image to the common feature extraction network to determine latent variables. The latent variables can be input to the plurality of biometric task-specific neural networks to determine a plurality of first outputs. Concatenated first output results can be formed and the concatenated plurality of first result outputs and the latent variables can be input to the plurality of expert pooling neural networks to determine one or more biometric analysis task outputs.

Biometric task network

A method for managing occupant interaction with components of a vehicle includes generating, via a time-of-flight sensor, a point cloud representing a compartment of the vehicle, the point cloud including three-dimensional positional information about the compartment. The method further includes identifying at least one body segment of a user based on the point cloud. The method further includes determining, via processing circuitry in communication with the time-of-flight sensor, a position of at least one feature of the at least one body segment. The method further includes calculating an orientation of the at least one body segment based on the at least one feature. The method further includes estimating an intended task of the user based on the orientation of the at least one body segment. The method further includes generating, via the processing circuitry, a response signal in response to estimation of the intended task.

Systems and methods for managing occupant interaction using depth information

An approach to managing mismatched controller alerts is disclosed. The approach includes storing, to a component database of a cloud system having one or more hardware computing devices, mismatched controller alerts received from a plurality of vehicles, each of the mismatched controller alerts indicating an identifier of a current vehicle that the mismatched controller is installed into, and a location of current vehicle. The approach further includes performing clustering of the mismatched controller alerts by the cloud system to correlate the mismatched controller alerts by location. The approach further includes indicating clustered locations of the mismatched controller alerts by the cloud system.

TCU replacement snitch mode

A vehicle includes a plurality of RADAR modules arranged at a common side of a plurality of sides of the vehicle and configured to detect an obstruction in a region exterior to the vehicle. A first RADAR module is on a left portion of the common side and has a first field of view. A second RADAR module is on a right portion of the common side and has a second field of view. A third RADAR module is between the first and second RADAR modules and is spaced from the first RADAR module by a first distance and spaced from the second RADAR module by a second distance. The third RADAR module has a third field of view at least partially overlapping each of the first and second fields of view. Control circuitry triangulates a position of the obstruction between a pair of the plurality of RADAR modules.

Detection system for a vehicle

A method for determining spatial availability for a compartment of a vehicle includes generating, via at least one time-of-flight sensor, a first point cloud representing the compartment of the vehicle, the first point cloud including three-dimensional positional information of the compartment. The method further includes calculating, via processing circuitry in communication with the at least one time-of-flight sensor, spatial information corresponding to a target configuration for the compartment. The method further includes comparing, via the processing circuitry, the spatial information to the first point cloud. The method further includes determining an availability of the target configuration based on the comparison of the spatial information to the first point cloud.

Vehicle space morphing

A method to prevent intoxicated operation is described. The method includes providing instructions to a vehicle user to position a vehicle user body portion posture in a predefined alignment. The method further includes obtaining the vehicle user body portion posture from a first vehicle detector, and determining whether the vehicle user body portion posture is in the predefined alignment. The method includes activating a plurality of vehicle visual indicators to illuminate in a predefined manner when the vehicle user body portion posture is in the predefined alignment. The method further includes providing instructions to the vehicle user to move vehicle user eyes to track the plurality of vehicle visual indicators, and obtaining a vehicle user eye movement from a second vehicle detector. The method further includes determining whether the vehicle user eye movement meets a predetermined condition, and actuating a control action accordingly.

Inebriation test system

A vehicle including a detection unit and a processor is disclosed. The detection unit may be configured to capture inputs associated with an external light being illuminated in proximity to the vehicle. The processor may be configured to obtain the inputs from the detection unit, and determine an illumination characteristic associated with the external light based on the inputs obtained from the detection unit. The processor may further actuate a vehicle light to illuminate based on the illumination characteristic.

Systems and methods for actuating vehicle lights based on external light show

Systems and methods for implementing protections against catalytic converter theft. A vehicle may comprise Ultra-Wideband (UWB) anchors or sensors. The UWB sensors of a vehicle may be used to detect the relative distance and/or location of UWB-capable devices in close proximity to the vehicle. An assessment may be performed using the UWB anchors and/or other sensors to determine whether the presence of the unknown device is indicative of a threat to the vehicle. If a threat is detected, one or more protection steps may be taken.

Systems and methods for detecting/preventing vehicle parts theft

A computer includes a processor and a memory, and the memory stores instructions executable by the processor to receive range data from a range sensor of a vehicle, detect a person in proximity to the vehicle based on the range data, activate a camera of the vehicle upon detecting the person, set a parameter of one of the camera or a facial recognition algorithm based on the range data of the person, and perform the facial recognition algorithm on the person using data from the camera.

Activation of facial recognition

A delivery vehicle is described. The vehicle may include a holding mechanism configured to hold a plurality of containers within the delivery vehicle. The plurality of containers may be configured to store a plurality of packages. The vehicle may further include a memory configured to store a first information including package attributes of each package and a mapping of each package with a container of the plurality of containers. The vehicle may further include a processor configured to obtain the first information from the memory. The processor may be further configured to determine a target location to load a target package or a target container in the delivery vehicle based on the first information. The processor may further activate a vehicle interior visual or audio component to indicate the target location in the delivery vehicle to load the target package or the target container.

Package management system

An on-demand security inspection system is provided for dispatching an investigator to a target dwelling. The investigator (e.g., a police officer) carries a video camera (e.g., a body cam). The inspection system comprises a service management server, a requestor interface, and an investigator interface. The requestor interface is configured to link a user to the service management server in order to specify a checklist. The investigator interface is configured to link a mobile unit (e.g., a vehicle control module or a handheld mobile unit) to the service management server in order to (1) communicate a plurality of checklist prompts to the mobile unit, and (2) return video data from the video camera captured according to the checklist prompts.

Guided home security inspection policing service

A hideable security key for a vehicle comprises a protective body which receives a fastening member configured to hold the hideable security key to an externally-accessible surface of the vehicle. A near-field communication (NFC) antenna is disposed in the protective body. An NFC controller is disposed in the protective body and is configured to drive a security key signal to the NFC antenna. A set of code entry elements are supported on the protective body adapted for manipulation by a user to input a predetermined passcode. The NFC controller is inhibited from driving the security key signal to the NFC antenna unless the user first inputs the predetermined passcode.

Hideable security key using near field communication

A near-field communication (NFC) reader is integrated with a display panel in a passenger cabin of a vehicle by constructing a hidden antenna of the reader into a portion of the display panel. The display comprises a touchscreen display providing a display surface coincident with a touch-sensitive input detector. A trigger monitor is configured to detect a user activity by a user which is indicative of a potential for the user to attempt pairing of a mobile NFC device with the hidden antenna. A positioning messenger is configured to generate a depiction on the display surface indicating a region to be covered on the display surface by the mobile NFC device to align a mobile antenna on the mobile NFC device with the hidden antenna. The NFC device may be a smartphone, a key fob, or an NFC transponder card.

Placement of mobile wireless device on a display panel with a hidden antenna

A vehicle includes receives a remote start request from a user, responsive to the request, engage at least one vehicle sensor to determine whether at least an animal or person are within at least a predefined distance from an exhaust or external sounder of the vehicle. Additionally, the vehicle, responsive to determining that the animal or person are withing the predefined distance, delays execution of a remote start, requested by the request, for at least a predefined period of time.

Adaptive exhaust control for remote start

Surface penetrating radar interrogates a region adjacent a pathway of the vehicle in response to activation by a user. An object detection system which is responsive to the radar transceiver is configured to recognize one or more spatial signatures of one or more detected objects in the region. A controller coupled to the radar transceiver and the object detection system is configured to (i) compare a respective spatial signature of at least one of the detected objects to a plurality of predetermined target signatures to detect an infrastructure asset, (ii) assess a perimeter around the detected infrastructure asset to estimate a severity of an obstruction blocking the infrastructure asset, and (iii) convey an alert message to the user when the estimated severity is greater than a threshold.

Roadside infrastructure detection, localization, and monitoring

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Novi, MI, United States of America

John Robert Van Wiemeersch