Ford Global Technolgoies, LLC

Motorola Mobility LLC

Motorola Corporation

Google Inc.

Intel Corporation

Nokia Solutions and Networks Oy

Ivan Vukovic

Syed Amaar Ahmad

Krishna Bandi

Rangsan Leelahakriengkrai

Sathyanarayana Chary Palakonda

Jovan Milivoje Zagajac

Igor Filipovich

Brennan Hamilton

Rapeepat Ratasuk

Jayanthi Rao

John McFarland Harris

Samer Ibrahim

Sushanta Das

Gopichandra Surnilla

John Walpuck

Azin Neishaboori

Colin Turner Lieberman

Murali Narasimha

Philip J Fleming

Thomas E Apczynski

Joseph Zane

Weidong Yang

John Eric Rollinger

Tyler A Brown

Allen R Murray

Thomas A Freeburg

Suresh Kalyanasundaram

Rajeev Agrawal

Kadathur S Natarajan

Irfan Ali

Joseph F Stanek

Paul Odlyzko

Nicholas Alexander Scheufler

Jay P Jayapalan

Fan Wang

Raymond C Siciak

Roy Yang

David Dean Smit

Mark D Hetherington

Ye Chen

David T Chen

Robert S Nikides

Stavros Tzavidas

Swetha Shailendra

Jean De Dieu Mutangana

Kirsen J Quan

Jeffrey Wallat

John Cardillo

James J Madon

Krzysztof M Duch

Kay M Kurio

Erik Kiledal

Rajest Pazhyannur

Thomas Varghese

Zachary Farr

Self-optimization of an ultra-wideband (UWB) network is performed. A configuration of UWB anchors of a vehicle is identified. A state vector is constructed based on the identified configuration, the state vector including values for status and ranging quality indicators for each of the UWB anchors. A next state is predicted based on the state vector using reinforcement learning to optimize UWB coverage, wherein a conditional probability of the next state depends only on the state vector. Unified configuration interface (UCI) commands are sent to the UWB anchors to reconfigure the UWB anchors based on the predicted next state.

Self-optimizing on-vehicle network

An enforcement vehicle receives vehicle broadcasts from motorist vehicles, including vehicle identification information. The enforcement vehicle presents the identification information in a selectable manner on a display and receives selection of one of the motorist vehicles. The enforcement vehicle sends a communication request to the selected motorist vehicle and receives confirmation from the motorist vehicle, resulting in an open communication channel. Further, enforcement vehicle receives identification of information to be provided from the motorist vehicle and sends an information request for the identified information. Responsive to receiving a response to the information request, the enforcement vehicle, or a process associated therewith, determines whether information included in the response indicates compliance with a predefined requirement, and, responsive to non-compliance, alerts an occupant of the enforcement vehicle of the existence of and at least one characteristic of the non-compliance.

Systems and methods for vehicle smart negotiation and cooperation

A vehicle identifies, from V2X messages received to a vehicle-to-everything (V2X) transceiver of a vehicle, message information from the received V2X messages indicative of locations of senders of the received V2X messages. The vehicle creates a virtual bounding box surrounding the vehicle based on a current location of the vehicle and a predefined size of the vehicle. The vehicle identifies whether any of the senders are located inside the vehicle using one or more factors, the factors including whether the locations of the senders of the received V2X messages are within the virtual bounding box. The configuration of the vehicle is updated based on whether any of the senders are located inside the vehicle.

IoT device interference detection

Path-based approach to passive vehicle entry is provided. A vehicle receives messages over a first protocol from a mobile device, each of the messages indicating a heading of the mobile device and a current location of the mobile device. The vehicle and the mobile device pair responsive to the current location of the mobile device being within a first threshold distance to the vehicle. Responsive to the heading indicating that the mobile device is headed towards the vehicle and the current location of the mobile device being within a second threshold distance from the vehicle, the second threshold distance being closer to the vehicle than the first threshold distance, the vehicle activates one or more second transceivers to perform time of flight distance measurement between the vehicle and the mobile device to obtain more precise positional accuracy, and otherwise maintains the one or more second transceivers in a deactivated mode.

Path-based detection of user approach for passive entry

Computing vehicle-centric road usage without high definition (HD) road maps is performed. Road usage charging (RUC) charge geometry rules defining a zone in which RUC are charged are received via a V2X transceiver of a vehicle. The vehicle determines a roadway type based on captured sensor data indicative of the surroundings of the vehicle, the roadway type being selected from a plurality of roadway types including a first roadway type where RUC charge is incurred and a second roadway type where RUC charge is not incurred. The vehicle identifies applicable rules of the RUC charge geometry rules according to a current location of the vehicle, the applicable rules specifying how tariffs are computed for the determined roadway type. The vehicle accumulates, by the vehicle, vehicle RUC charge using vehicle bus data indicative of progress of the vehicle within the zone and the determined roadway type.

Vehicle-centric road usage application using vehicle sensors

A vehicle includes a wireless transceiver configured to communicate with an infrastructure device in a vehicle-to-everything (V2X) channel having a predetermined channel frequency, the V2X channel being divided into a plurality of subchannels; and a controller, configured to responsive to the wireless transceiver detecting a wireless signal within the frequency of the V2X channel, measure a power spectral density (PSD) gradient of the wireless signal across at least two subchannels of the V2X channel, and compare a magnitude of the PSD gradient against a predetermined gradient threshold, and responsive to verifying the magnitude of the PSD gradient of the wireless signal is greater than the gradient threshold, identify there is an interference to the V2X channel.

Vehicle Wi-Fi access point detection and mitigation

A vehicle broadcasts a lane change intent message indicating parameters of a maneuver to be performed by the vehicle operating as a main traffic participant vehicle, the maneuver requiring use of a road resource. Response messages are received from recipient vehicles indicating approval or disapproval of performance of the maneuver. Responsive to one of the recipient vehicles returning a response message indicating conflict with use of the road resource required for performance of the maneuver, a conflict resolution procedure is performed between the main traffic participant vehicle and the conflicted recipient vehicle, the conflict resolution procedure using a pre-agreed identical conflict resolution algorithm executed on each of the main traffic participant vehicle and the conflicted recipient vehicle to each make a same distributed decision whether to proceed with the maneuver.

V2X traffic maneuver handshaking between traffic participants

Performing filtering of infrastructure-to-vehicle (VI) messages by a vehicle is provided. First messages are received from one or more road-side units (RSUs). Responsive to the vehicle approaching a check-in location indicated by the first messages, a check-in location identifier is stored for the check-in location retrieved from the first messages as being a current check-in location for the vehicle. Second messages are received from the one or more RSUs. Responsive to a message identifier in the second messages matching the check-in location identifier, the second messages are forwarded to a vehicle application for processing. Otherwise the second messages are discarded.

Pre-security message verification

Scheduling communications using a plurality of wireless interfaces is provided. Signals are monitored that are received from a first antenna configured to send and/or receive first messages over a first message protocol. Using the signals, time slot information is updated that is indicative of which equally-sized consecutive future time slots the first antenna is predicted to transmit and/or receive the first messages. A transmission is scheduled of a second message over a second antenna configured to send and/or receive second messages over a second message protocol using the time slot information to avoid out-of-band emission (OOBE) interference.

Multiple radio opportunistic scheduling

Performing validation of road usage charging (RUC) systems is provided. A hardware processor of a vehicle receives, from an HMI of the vehicle, input to enter into a testing mode in which a test of RUC functionality of the vehicle is to be performed. In the testing mode, RUC charges are computed for a route from a start location to an end location, based on map and fees information for the test. One or more reports of the charges are generated for verification of the RUC functionality, the charges being verifiable based on the route and the map and fees information being defined for the test.

Road usage charging system validation

An infrastructure device includes a transceiver, programmed to communicate with a plurality of vehicles, wherein at least one of the vehicles is located within a distance defined from a location of the infrastructure device, and at least one of the vehicles is located outside the distance from the location of the infrastructure device; and a controller, programmed to measure a channel busy ratio (CBR) for communication with the plurality of vehicles, measure a package error rate (PER) for communication with one or more of the vehicles located within the distance, and responsive to the CBR being greater than a CBR threshold, or the PER being greater than a PER threshold, record an interference event into a log.

Vehicle roadside unit interference detection

Smart tolling for vehicles is provided. A toll advertisement message (TAM) is received by a vehicle, broadcast from a road-side unit (RSU) via V2X communication, the TAM defining a plurality of toll road tariff data elements, each of the toll road tariff data elements specifying a set of tolling factors indexed by a unique toll context identifier. Roadway usage of the vehicle is determined. A charge for the roadway usage is determined according to the set of tolling factors of the TAM. A toll usage message (TUM) is sent via the V2X communication, the TUM indicating, to the RSU, the tariff for the roadway usage of the vehicle.

Toll advertisement message road topologies

Systems and methods of detecting and predicting quality of service links for connected vehicles are provided herein. An example method receiving, by a first connected vehicle, a signal that includes at least a quality of service metric of a communications link, determining an action to be executed by the first connected vehicle, determining when the quality of service metric of the communications link for the first connected vehicle is at or above a threshold value, and executing the action by the first connected vehicle when the quality of service metric is at or above a threshold value.

Systems and methods of detecting and predicting quality of service of communication links of connected vehicles

A vehicle includes a human-machine interface (HMI) device, configured to interact with a user; a wireless transceiver; and a controller, configured to responsive to the wireless transceiver detecting a signal strength of a wireless transmission at a predefined frequency exceeding a predefined threshold, output a message via the HMI device to ask a user to switch off a wireless device associated with the user, and responsive to continuing to detect the signal strength of the wireless transmission exceeding the threshold, output an alert, via the HMI device, to inform the user of a vehicle-to-everything (V2X) communication failure and record an identity of the wireless transmission and a location of the vehicle.

A system includes a processor and a memory. The memory stores instructions executable by the processor to receive an image from a stationary camera. The memory stores instructions to determine location coordinates of an object identified in the image based on location coordinates specified for the image. The memory stores instructions to operate a vehicle based on the object location coordinates.

Object location coordinate determination

Growing community of inventors

Arlington Heights, IL, United States of America

Ivan Vukovic