Ford Global Technolgoies, LLC

Turgay Isik Aslandere

Michael Marbaix

Frederic Stefan

Frederik De Smet

Alain Marie Roger Chevalier

Evangelos Bitsanis

Daniel Roettger

Marcel Grein

Detlef Kuck

Cem Mengi

Nicole Leonarda Wilhelmina Eikelenberg

Alain Chevalier

Eduardo Perez Guzman

Omer Kirbaci

A method for a driver assistant image customization of vehicle-related images, a data processing circuit, a computer program, a computer-readable medium, and a vehicle, can include, with at least one sensing device of the vehicle, obtaining an input image to be customized. With at least one human-machine-interface of the vehicle or connected thereto an input determining at least one customization scheme to be performed is received. Using at least one data processing circuit of the vehicle applying artificial intelligence the input image is transformed according to the at least one customization scheme into a transformed output image. With at least one smart mirror of the vehicle or a mobile device connected to the at least one data processing circuit the transformed output image is outputted. The at least one customization scheme includes a plurality of different types of adaptation modes.

Customization of vehicle-related images

A simulation includes loading a first generator of a Cycle Generative Adversarial Network (CycleGAN) with a model dataset during a training phase in order to train the first generator in cooperation with a first discriminator of the CycleGAN assigned to the first generator, and loading a second generator of the CycleGAN with a hardware dataset in order to train the second generator in cooperation with a second discriminator of the CycleGAN assigned to the second generator, and loading the first generator with an input dataset during an operational phase in order to provide an output dataset.

Method and system for carrying out a simulation

An electrified vehicle and associated method for controlling an electrified vehicle having an electric machine powered by a traction battery include an autoencoder trained with training data indicative of a remaining driving range of the traction battery. The trained autoencoder processes vehicle operating data to generate a reference data record and determines a value indicative of a similarity between the vehicle operating data and the reference data record. The autoencoder generates an output data record if the value indicative of the similarity is below a predetermined threshold value. The output data record may be used to display an alert or message to a vehicle occupant and/or control the vehicle to reduce power consumption to increase vehicle driving range.

Electrified vehicle with indication of adequate driving range based on autoencoder

A tracking system and method for tracking tools in and nearby a transportation vehicle is provided. The tracking system comprises a vehicle-based detection unit for optically acquiring tool sets in the vehicle loading space from different angles and providing digital image data as well as corresponding range information. An electronic main controller unit is operatively coupled to a communication receiving unit and communicates with the vehicle-based detection unit and a cloud-based computer system of the tracking system. A mobile computing unit includes an optical camera and a LIDAR sensor device and wirelessly communicates with the electronic main controller unit and the cloud-based computer system. The tool detection and tracking is accomplished by combining an image-based detection employing an artificial neural network in the cloud-based computer system and a signal-based detection employing the short-range wireless network communication means.

Tracking system and method employing an artificial neural network for tracking tools in and nearby a transportation vehicle

A request signal that indicates a quality for a determination of an orientation of a road user is received. The orientation of the road user is determined based on a) image data when the request signal indicates the quality is below a predetermined quality for the determination of the orientation of the road user, or b) on LIDAR data and image data when the request signal indicates the quality is the predetermined quality.

Operating a motor vehicle with stereo camera and LIDAR

Methods and systems are provided for adjusting a vehicle powertrain. In one example, a vehicle powertrain is adjusted in response to an emission limit of an emission zone. Adjustments may be provided via a neural network wirelessly connected to a vehicle controller.

Drive through low-emission-zones: a connected system to reduce emissions

A computer-implemented simulation of a virtual hand in a virtual environment can include reading in a hand dataset that is representative of a shape of a real hand of a user, applying the hand dataset to a trained, artificial neural network, and determining an output dataset with the artificial neural network to which the dataset has been applied indicative of forces acting on a virtual object.

Computer-implemented simulation of a virtual hand

A method for performing automatic valet parking, which includes selecting a road scenario applicable to a roadway; notifying a driver to release manual control elements of a motor vehicle and to leave the motor vehicle; checking whether the control elements have been released and the driver has left the motor vehicle and, in this case, entering an EXPLORE mode in which the motor vehicle is slowly driven autonomously and searches for a free car space or a parking space using the vehicle's own environmental sensors, before the motor vehicle is placed in a parking position; and then to change from the EXPLORE mode to a PARKING mode in which the motor vehicle is parked in the car space or in the parking space from the parking position by means of the longitudinal and lateral controllers and using the environmental data previously obtained from the environmental sensors in the EXPLORE mode.

Method for performing automatic valet parking

The invention relates to a system for performing a method for performing computer-aided simulations. The system loads an input dataset which is based on user interactions of a user indicating a manipulation of a representation of a component, provides a tracking dataset indicating changes in the representation through the manipulations by evaluating the input dataset, provides an output dataset which is based on evaluation of the tracking dataset by means of machine learning, where the output dataset assigns a model to the representation, and outputs the output dataset.

Advanced model mapping and simulations

An image data set is generated for output by an infotainment system of a motor vehicle. Input data sets associated with respective functions of the infotainment system are clustered according to at least one predetermined criterion. The clustered input data sets are evaluated to determine at least one parameter of a circular representation for the image data set, which is generated using the at least one determined parameter.

Method for generating an image data set for reproduction by means of an infotainment system of a motor vehicle

A computer includes a processor and a memory, the memory including instructions executable by the processor to identify a diagnostic test to perform for a vehicle component, identify one of a plurality of XiL platforms on which to perform the diagnostic test, and perform the diagnostic test on the identified XiL platforms.

X-in-the-loop tests for self-driving motor vehicles

A computer includes a processor and a memory, the memory storing instructions executable by the processor to collect control data indicating behavior of a vehicle controlled by a control program, collect virtual control data indicating behaviour of a virtual vehicle controlled by a virtual control program, and determine a difference between the control data and the virtual control data.

Test for self-driving motor vehicle

Methods and systems are provided for adjusting engine operating parameters in response to an emission output from vehicles within a region. In one example, a method comprises adjusting engine operating parameters in a portion of the vehicles to decrease an emission output therefrom.

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Aachen, Germany

Turgay Isik Aslandere