Ford Global Technologies, LLC

Frederic Stefan

Uwe Gussen

Christoph Arndt

Michael Marbaix

Evangelos Bitsanis

Alain Marie Roger Chevalier

Rainer Busch

Frank Petri

Urs Christen

Erik Alpman

Christoph Arndt Dr Habil

Turgay Isik Aslandere

Thomas Rambow

Goetz-Philipp Wegner

Ryan Abraham McGee

Alain Chevalier

Anke Dieckmann

A method for operating a motor vehicle having at least one motor-driven electric machine which serves as a traction motor is provided. The method includes the steps of: loading vehicle data of the motor vehicle, which are indicative of a sound emission requirement, feeding a trained artificial neural network with the vehicle data in order to obtain sound emission generator control data, and feeding a sound emission generator of the motor vehicle with the sound emission generator control data.

Method for operating a motor vehicle

A method is provided for controlling a passage along a single-track roadway section, wherein confrontational meetings of vehicles moving in opposite directions of travel are avoided through speed adjustment and use of stopping facilities within the single-track roadway section. A system and a vehicle for carrying out the method are further provided.

Method for passing along narrow roads

A driver assistance system for a motor vehicle performs a maneuver using a trajectory determined according to an external environment. The vehicle has a plurality of environment sensors and a controller device configured to acquire an environment data set (UDS) using the environment sensors, which it transmits to a cloud computer. The cloud computer reads in the environment data set (UDS), generates a supplemental data set (EDS) for supplementing the environment data set (UDS), combines the environment data set (UDS) with the supplemental data set (EDS) in order to generate a supplemented environment data set (UDS′), and transmits the supplemented environment data set (UDS′) to the controller device. The supplemental data set (EDS) may be obtained by evaluating data of other road users within a predetermined radius of the vehicle. The controller device evaluates the supplemented environment data set (UDS′) for the purpose of controlling the trajectory.

Operating a motor vehicle with onboard and cloud-based data

An intention of a road user to traverse a passage between a first vehicle and a second vehicle is determined. A required width of the passage is determined based on a nature of the road user. A current width of the passage is determined. Upon determining the current width of the passage is less than the required width of the passage, a drive of at least one of the first vehicle or the second vehicle is actuated to increase the current width of the passage at least to the required width of the passage.

Adaptation of passage between two vehicles

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 apparatus for monitoring the blind spot of a motor vehicle has a mirror assembly with at least one mirror element that can be moved using an actuator, and a microphone assembly. The microphone assembly is designed to determine the sound direction, and the movable mirror element is in the form of a sound reflector.

Apparatus for monitoring the blind spot of a motor vehicle

A high-beam assistance system of a motor vehicle determines whether or not an unseen vehicle with headlamps switched on is approaching from the opposite direction before the unseen vehicle enters the field of view of a camera in the host vehicle. Wherein the registered images do not include any approaching vehicle on the roadway, the high-beam assistance system determines an expected illumination information item which is estimated to result from illumination by the host headlamps, determines an actual illumination information item contained in the registered images, and compares the expected illumination information item and the actual illumination information item. If the actual illumination information item deviates from the expected illumination information item, then the illumination provided by the host headlamps is adjusted from a high-beam state to a low-beam state.

Method for operating a high-beam assistance system of a motor vehicle

An apparatus () for determining an attention requirement level of a driver of a vehicle is provided, which comprises a first signal processing unit (), a second signal processing unit (), a third signal processing unit (), a fourth signal processing unit (), and an attention requirement determination unit (), connected to the first, second, third and fourth signal processing unit () and configured to determine an attention requirement level () as a function of current values of the first, second, third and fourth attention requirement parameters (). In addition, a vehicle () having such an apparatus () and an operating method () for the apparatus () are provided.

Apparatus and method for determining an attention requirement level of a driver of a 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

The disclosure relates to a method that models a motor vehicle sensor in a virtual test environment by way of definition. Using a sensor support, a raycast distribution shape, a group of raycast properties, a raycast reflection factor, and a raycast echo, a sensor in reality may be tested in a virtual environment to calibrate the sensor in reality. The sensor support is a virtual sensor support for a virtual sensor model, which forms a three-dimensional or two-dimensional avatar of the sensor in reality, in the virtual test environment. The sensor support has a sensor starting point that is used as an origin for a raycast distribution shape. The method extracts a special application of the sensor in reality in an application case, which is particularly useful for testing scenarios.

Method for modeling a motor vehicle sensor in a virtual test environment

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

A system includes a processor configured to instruct image capture of a vehicle from a plurality of predefined perspectives, the perspectives defined to result in images providing a 360 degree capture of a vehicle surface. The processor is also configured to receive a plurality of images, at least one from each perspective, of a vehicle from a mobile device camera. The processor is further configured to build a 3-D model of the vehicle surface from the images and compare the 3-D model to a stored reference model of the vehicle surface in order to recognize damage to the vehicle.

Method for monitoring damage to motor vehicles

A method for a vehicle control procedure, wherein in the case of this vehicle control procedure a closed loop control of the vehicle velocity is performed on the basis of a predetermined desired value, may comprise the following steps: determining on the basis of at least one predetermined criterion whether in the case of the closed loop control the vehicle velocity leaves a value range that is defined by at least one velocity threshold value while taking into consideration a tolerance range that defines predetermined, permitted deviations from this value range; and implementing a corresponding measure while modifying the vehicle control procedure in dependence upon the result of this determination procedure, wherein the determination procedure is performed on the basis of a signal analysis of at least one measurement signal that describes the movement status of the vehicle.

Method and device for a vehicle control procedure

The invention relates to an active parking assist system () for a motor vehicle (), wherein the parking assist system () comprises a plurality of capacitive ultrasonic converters () which are essentially spaced evenly in a horizontally circumferential manner outside the motor vehicle ().

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Aachen, Germany

Frederic Stefan