Ford Global Technolgoies, LLC

Praveen Kumar Yalavarty

Ritesh Pandya

Brian Petersen

Joseph Paul Rork

Hamed Asadi

Mohsen Bahrami

Navid Tafaghodi Khajavi

Venkata Maruthe Ravikumara Sharma Chengalvala

James Wilhelm Heaton

Amin Ariannezhad

John Correia

Mohammad Nekoui

Joseph Carl Beiser

Arthur Marius Vitui

John William Schmotzer

John Naum Vangelov

John Ellis

Medville Jay Throop

Michael Raymond Westra

Brian David Tillman

Douglas B Thornburg

Rajesh Balaji Vijayan

Sajit Janardhanan

Edward Charles Esker

Leonie Tessa Tielert

Laleh Ghalami

This disclosure describes systems and using dual vehicle digital twins for model-based learning and remotely-operated vehicles. An example method may include receiving, by a processor associated with a first digital twin stored locally on a computing system of a vehicle or a second digital twin stored remotely on a first remote system, data relating to a first sub-system of the vehicle and a second sub-system of the vehicle. The example method may also include sending the data to the first digital twin or the second digital twin, wherein sending the data includes synchronizing with the first digital twin or the second digital twin.

Systems and methods using dual vehicle digital twins for model-based learning and remotely-operated vehicles

A vehicle includes a controller, programmed to responsive to identifying a first user via a mobile device, load a first non-person entity associated with the first user from the mobile device to configure vehicle settings, the first non-person entity including a driver setting, a first entertainment setting and a second entertainment setting; and responsive to identifying a second user entering the vehicle, switch from the first entertainment setting to a second entertainment setting.

Vehicle identity access management

Systems, methods, and computer-readable media are described for performing real-time vehicular incident risk prediction using real-time vehicle-to-everything (V2X) data. A vehicular incident risk prediction machine learning model is trained using historical V2X data such as historical incident data and historical vehicle operator driving pattern behavior data as well as third-party data such as environmental condition data and infrastructure condition data. The trained machine learning model is then used to predict the risk of an incident for a vehicle on a roadway segment based on real-time V2X data relating to the roadway segment and/or vehicle operators on the roadway segment. A notification of a high risk of incident can then be sent to a V2X communication device of the vehicle to inform an operator of the vehicle.

Vehicle-to-everything (V2X)-based real-time vehicular incident risk prediction

A computer is programmed to allocate respective connectivity quality data of a geographic area to a first map or a second map. The computer is further programmed to assign one of a plurality of subsets of the first map and one of a plurality of subsets of the second map to a first vehicle, identify respective locations of the first and second vehicles and one of the first or second maps that includes the locations of the first and second vehicles. The computer is further programmed to send, to the first and second vehicles, a map dataset that is a result of applying an XOR function to (1) the subset of the identified map that includes the location of the first vehicle assigned to the first vehicle and (2) the subset of the identified map that includes the location of the second vehicle assigned to the second vehicle.

Enhanced vehicle operation

A graph of devices is constructed, each network device serving an amount of bandwidth over the network, each vertex of the graph corresponding to a respective one of the network devices, each edge of the graph connecting network devices by interference weight, such that edges between connected network devices using different channels have an interference weight of zero, and edges between connected network devices using the same channel have an interference weight denoting an amount of interference between the connected network devices. A cell utilization of each of the network devices is determined according to an amount of traffic served by the respective network device compared to a total of the amounts of bandwidth for all network devices. A vehicle requesting bandwidth is assigned to the one of the network devices having a smallest product of cell utilization and maximum interference weight edge.

Interference-aware autonomous vehicle routing among CBSDs

A system including one or more servers, programmed to responsive to receiving a token request from a vehicle to access content stored in a content cloud, validate the token request against pre-defined policies; responsive to a successful policy validation, verify token generating responsibility based on a validation result and pre-defined rules; and responsive to verifying the system has the token generating responsibility, generate a token for the token request.

Policy and token based authorization framework for connectivity

A graph of devices is constructed, each device requiring an amount of bandwidth over the network, each vertex of the graph corresponding to a respective one of the devices, each edge of the graph connecting devices according to a weight denoting interference between the connected devices. The vertices of the graph are labeled with labels such that no two vertices sharing the same edge have the same label, each label requiring bandwidth corresponding to the device of that label requiring the most bandwidth. If the sum of the bandwidth required for the labels exceeds the set bandwidth, the edge of the graph having the least interference is deleted, and the perform the construct and label operations are repeated. If the sum of the bandwidth required for the labels is within the set bandwidth, the bandwidth is assigned to the devices.

Interference-aware non-homogeneous CBSD channel assignment and including channel assignment based on data priority

A system includes at least one processor configured to, in response to receiving a VIN from a remote vehicle, transmit to the vehicle a parameter definition selected based on fields of the VIN to configure an ECU of the vehicle to enter a logging mode to capture, aggregate, and send operational data of the vehicle, and a bandwidth configuration file for a modem of the vehicle based on historical throughput requirements associated with operational data. The parameter definition may include a reporting application configured to be executed by a processor of the ECU to generate a processed parameter from a raw parameter associated with vehicle operation. Also, the parameter definition may include updated firmware for the ECU, and the reporting application is configured to be executed by the ECU after the updated firmware is installed in the ECU.

Efficient telematics data upload

A system may include a vehicle-based computing system. The vehicle-based computing system may identify from a first software update chunk retrieved from a subscribed topic for receiving vehicle updates, a number of chunks of the update, retrieve additional chunks of the update by subscription to each of a sequence of subtopics to the subscribed topic, each subtopic associated with a respective remaining one of the number of chunks, and update the software utilizing the retrieved chunks.

Multiple chunk software updates

A system includes a processor configured to receive a request for publication of a message to a vehicle. The processor is further configured to determine if the message has a time-sensitive indicia, defining an expiration time, affiliated therewith. Also, the processor is configured to deliver messages having time-sensitive indicia to a time-sensitive inbox. The processor is additionally configured to remove messages from the time sensitive inbox when a defined expiration time for a given message has passed.

Method and apparatus for vehicle message recall

A computer-implemented method may include subscribing to a first topic tree topic associated with an installed vehicle software component version; identifying a desired software component version based on a published notification retrieved from the first topic; and when the desired version and the installed version differ, updating a software component using a software update retrieved from a second topic tree topic associated with software updates to the installed version.

Autonomous global software update

A message broker may initialize, responsive to a connection notification published via vehicle connection to a vehicle-associated topic tree topic to which a service delivery network is subscribed, a lost-connection notification to be published to the topic by the broker upon broker identification of the connection as lost, and when a periodic notification over the connection to the message broker is missed, publish the lost-connection notification to the vehicle-associated topic. A service delivery may receive a message publish request for a vehicle topic via a message broker to which the service delivery network and vehicle subscribe; and send a wakeup message to the vehicle out-of-band from the message broker to request the vehicle to reconnect to the message broker when a type of the message requires the vehicle to be connected to publish the message and the vehicle is disconnected.

Remote vehicle connection status

A vehicle may gather vehicle build configuration information, and provide a vehicle identifier and the vehicle information to a server. The server may determine a feature set configuration of a configurable module of the vehicle based on the vehicle information and vehicle feature associations retrieved from a vehicle data source, and provide, in a message topic of a topic tree associated with the vehicle identifier to which the vehicle is subscribed, a notification to configure the configurable module. The vehicle may update a feature set configuration of a configurable module supporting a plurality of features based on the notification.

Flexible feature deployment strategy

A vehicle may include at least one controller configured to maintain a communication channel over a network between a vehicle and a vehicle service server accessible through an access point node. The at least one controller may be further configured to receive, over the network out-of-band from the communication channel, an update message including updated communication channel connection information, and upon receiving the message, reconnect the communication channel according to the updated connection information. A secure server may be configured to generate the update message specifying at least one of updated access point node information and updated address information, encrypt the update message according to an encryption key shared with a vehicle destination, and provide the update message over a network to the vehicle out-of-band from the communication channel.

Growing community of inventors

Novi, MI, United States of America

Praveen Kumar Yalavarty