Ford Global Technolgoies, LLC

Other

Michigan State University

Adil Nizam Siddiqui

Jonathan Diedrich

Cynthia M Neubecker

Brad Alan Ignaczak

Mahmoud Yousef Ghannam

Brian Bennie

Ali Hassani

Eric L Reed

Somak Datta Gupta

Robert Parenti

John Robert Van Wiemeersch

Haron Abdel-raziq

Cheri Lyn Hansen

Patrick Kevin Holub

Jeffrey Allen Greenberg

Christopher W Bell

Kenneth James Miller

Vidya Nariyambut Murali

Jinesh J Jain

Sneha Kadetotad

Laura Viviana Hazebrouck

Marcos Paul Gerardo Castro

Dongran Liu

Charles James Miller

Stuart C Salter

Erick Michael Lavoie

Brendan F Diamond

Mark Anthony Cuddihy

Gary Steven Strumolo

Thomas Edward Pilutti

Oliver Lei

Vivekanandh Elangovan

John Paul Gibeau

Pramita Mitra

Thomas Michael McQuade

Linsheng Chen

Scott Howard Gaboury

David Charles Weber

Christopher Westfall

Mark Gehrke

David Melcher

Andrea Bowes Chowanic

Arun Dutta

Craig John Simonds

Deepa Ramaswamy

Eugene Karpinsky

Emil G Serban

Hannah Bailey

Jacob Lucero

Paul Theodosis

Justin Bennie

Robert D Klosek

Gabrielle Gibbons

William McRoy

Andrea Bowers Chowanic

Jeff Dippel

Yasodekshna Boddeti

Jeffrey R Seaman

Annette L Huebner

John R Van Wiemeersch

A security token for accessing an automotive vehicle, such as an NFC access card or NFC-capable mobile phone, is monitored to help prevent it being left in the vehicle when the user exits the vehicle. An NFC reader in the passenger compartment communicates with the token to authorize access to predetermined functions of the vehicle. An image sensor captures images within the passenger compartment using an image sensor after the security token is presented to the NFC reader. A location of the token is tracked in the captured images. One or more predetermined carrier locations are identified which are associated with the user and which can remain with the user when the user exits the vehicle (e.g., a pocket or purse). A message to the user is generated as a reminder when the security token has not been detected to have been returned to an identified predetermined carrier location.

Security card tracking and advisory system for motor vehicle

A system receives vehicle sensor data indicating upcoming route characteristics as a vehicle travels a route. The system identifies one or more passibility-limiting features from the vehicle sensor data and, based on the sensor data, interpolates at least one characteristics of at least one feature that would affect vehicle travel. The system determines if the feature has been previously identified by comparison to previously identified features associated with locations within a proximity of a present location of the vehicle. Further, the system determines if the at least one characteristic has more than a predefined deviance from one or more previously interpolated characteristics associated with the feature and alert the user via the vehicle if at least one of the previously interpolated characteristics or the at least one characteristic indicates that the vehicle may have difficulty passing the feature based on predefined parameters of the vehicle.

Path geometry based on vehicle sensing

A help system is provided for a vehicle occupant who carries a mobile communication device. The vehicle has a transceiver providing two-way wireless telecommunication and which detects a loss-of-signal condition. A powertrain system provides vehicle movement and is configured for reckoning a path traversed by the vehicle. The help system includes a guidance controller and an interface adapted to connect to the mobile communication device. The guidance controller is configured to A) identify a crossing point when the transceiver detects an initiation of the loss-of-signal condition, B) store a breadcrumb route for returning to the crossing point based on the reckoned path, C) detect a stranded condition of the vehicle during the loss-of-signal condition, D) generate guidance instructions including the breadcrumb route from the vehicle back to the crossing point when the stranded condition is detected, and E) transfer the guidance instructions to the mobile communication device.

Stranded motorist assistance system

A computer includes a processor and a memory, and the memory stores instructions executable by the processor to receive first environmental data recorded by an environmental sensor on board a vehicle, receive nonenvironmental data recorded on board the vehicle independently of the first environmental data, add a plurality of annotations derived from the nonenvironmental data to the environmental data, and train a machine-learning program to process second environmental data by using the first environmental data as training data and the annotations as ground truth for the first environmental data.

Automatically generating machine-learning training data

A two-dimensional image of a vehicle occupant in a vehicle is collected. The collected two-dimensional image is input to a machine learning program trained to output one or more reference points of the vehicle occupant, each reference point being a landmark of the vehicle occupant. One or more reference points of the vehicle occupant in the two-dimensional image is output from the machine learning program. A location of the vehicle occupant in an interior of the vehicle is determined based on the one or more reference points. A vehicle component is actuated based on the determined location. For each of the one or more reference points, a similarity measure is determined between the reference point and a three-dimensional reference point, the similarity measure based on a distance between the reference point and the three-dimensional reference point.

Enhanced sensor operation

Method and system for providing a mobility service is described. The mobility service can include delivering goods in rough terrain, rural areas, and other similar environments, by selecting and configuring vehicles for terrain considerations based on known and dynamically changing information. The disclosed system can include a vehicle configured with a deployable autonomous drone, and can determine optimized vehicle routes to remote locations using the deployable drone and vehicle navigation sensors, for real time mapping that can be combined with existing map/terrain data. The terrain data may also be sent to a vehicle in a vehicle fleet, and/or to a cloud-based server, and be used to compute the best available vehicles designed for the mobility service. The system may deploy one or more mobility solutions, collect telematics, road information, navigational data, and other information during the delivery. This feedback may then be used for future mobility services.

Rugged terrain vehicle design and route optimization

Method and apparatus are disclosed for interface verification for vehicle remote park-assist. An example vehicle system includes a mobile device and a vehicle autonomy unit. The mobile device includes a touchscreen and a controller. The controller is to present, via the touchscreen, an interface of a remote parking app and receive, via the touchscreen, an input responsive to the presentation of the interface. The vehicle autonomy unit receives an input signal from the mobile device and an input classifier coupled to the vehicle autonomy unit verifies the received input signal complies with an input classification.

Anomalous input detection

The disclosure generally pertains to systems and methods for providing off-road track drivability guidance. In an example scenario, a processor receives a sensor signal that is generated when a vehicle is driven on an off-road track. The processor evaluates the sensor signal to obtain information about a driving surface of the off-road track such as, a material composition, a gradient, and/or an amount of provided traction. The processor conveys the information to another processor (which may be a part of a server computer) that determines a drivability status of the off-road track based on the information about the driving surface and additional parameters, such as present and/or future weather conditions. The server computer may provide the drivability status in response to a query from a processor that is located in another vehicle (or in a personal communication device carried by a driver of the vehicle).

Systems and methods for providing off-track drivability guidance

Exemplary embodiments described in this disclosure are generally directed to systems and methods for detecting alertness of a driver of a vehicle. In one exemplary method, a driver alertness detection system determines whether a driver of a vehicle is susceptible to lagophthalmos. If the driver is susceptible to lagophthalmos, the driver alertness detection system may evaluate an alertness state of the driver by disregarding an eyelid status of the driver and monitoring biometrics of the driver such as, a heart rate and/or a breathing pattern. Alternatively, the driver alertness detection system may evaluate an alertness state of the driver by placing a higher priority on the biometrics of the driver than on the eyelid status. However, if the driver is not susceptible to lagophthalmos, the driver alertness detection system evaluates the alertness state by placing a higher priority on the eyelid status than on the biometrics of the driver.

Systems and methods for detecting alertness of an occupant of a vehicle

A plurality of transducers positioned at respective specified locations in a vehicle are actuated to generate a plurality of respective tones. A plurality of respective time differences are determined between times that each respective tone is generated by the respective transducer and the tone is detected by a portable device. A location of the portable device is determined based at least in part on the time differences.

Portable device detection

A vehicle charging system includes a vehicle charge port having a first connector with one or more first magnets and a plurality of first terminals arranged in a first array. A charge station for the vehicle includes a support and a second connector attached to the support by an articulating mechanism that permits movement of the second connector relative to the support. The second connector has one or more second magnets and a plurality of second terminals arranged in a second array that matches the first array so that the first terminals are connectable to the second terminals when the first and second connectors aligned. The first and second magnets are arranged to move the second terminals, via the articulating mechanism, into alignment with first terminals when the first and second connectors are within a magnetic-coupling range.

Vehicle charging system

On-demand vehicle imaging systems and methods are provided herein. An example method includes receiving a first request to obtain an image or video of a target location from a requesting party, determining a vehicle located within a specified distance from the target location, transmitting a second request to the vehicle to obtain the image or video of the target location using a camera of the vehicle, the second request including an identification of the target location, performing at least one aspect of image processing to blur, block, or obscure at least a portion of the image, and transmitting the obtained image or video of the target location to the requesting party.

On-demand vehicle imaging systems and methods

A controller receives outputs from a plurality of sensors such as a camera, LIDAR sensor, RADAR sensor, and ultrasound sensor, which may be rearward facing. A probability is updated each time a feature in a sensor output indicates presence of an object. The probability may be updated as a function of a variance of the sensor providing the output and a distance to the feature. Where the variance of a sensor is directional, directional probabilities may be updated according to these variances and the distance to the feature. If the probability meets a threshold condition, actions may be taken such as a perceptible alert or automatic braking. The probability may be decayed in the absence of detection of objects. Increasing or decreasing trends in the probability may be amplified by further increasing or decreasing the probability.

Multi-sensor probabilistic object detection and automated braking

Method and apparatus are disclosed for communication of infrastructure information to a vehicle via ground penetrating radar. A vehicle comprising an antenna positioned to broadcast radio waves below the vehicle, a ground penetrating radar system, and an active safety module. The ground penetrating radar system determines types of reflectors and a spatial relationship between the reflectors based on radar cross-sections detected by the antenna, and generates a signature based on the shapes and the spatial relationship. The active safety module determines environmental data based on the signature, and autonomously control the vehicle based on the environmental data.

Communication of infrastructure information to a vehicle via ground penetrating radar

Method and apparatus are disclosed for adjustment of vehicle rearview mirror displays. An example vehicle includes a rearview camera for capturing an image, a rearview mirror display positioned at a fixed orientation that is to present a portion of the image, a housing to rotate behind the rearview mirror display, and a sensor to detect a orientation of the housing. The example vehicle also includes a controller to adjust, based upon the orientation of the housing, the portion of the image presented via the rearview mirror display.

Adjustment of vehicle rearview mirror displays

Growing community of inventors

Farmington Hills, MI, United States of America

Adil Nizam Siddiqui