Ford Global Technolgoies, LLC

Helen Elizabeth Kourous-Harrigan

Linjun Zhang

Jeffrey Thomas Remillard

Ankit Girish Vora

Mostafa Parchami

John Anthony Lockwood

Codrin Cionca

Lu Xu

Fling Finn Tseng

Johannes Geir Kristinsson

Shiqi Qiu

Oliver Lei

Gintaras Vincent Puskorius

Gaurav Pandey

Samer Ibrahim

Jovan Milivoje Zagajac

Steve T Skikun

Faizan Shaik

John Walpuck

Umair Ibrahim

Joseph Charles Jira

Matthew Baer Wilmes

William Thomas Buller

Patrick Carmody

Susan Janiszewski

Colin Brooks

Jeremy Graham

Qi Chen

Amy Robertson

Alan Hejl

Frank Thomas Brown

A system and method for operating a vehicle operating on a route that will pass within a predetermined distance of a smart infrastructure node (IX Node) includes: retrieving, prior to receiving a message from the IX Node, data about the IX Node including (a) an IX Node assist zone based on an effective broadcast range of the IX Node, (b) an IX Node field of view area that is within the IX Node assist zone and that is defined by a field of view of one or more IX Node sensors, and (c) available services from the IX Node; and selecting a vehicle application for operation on the route while in the IX Node assist zone based on the IX Node field of view area, and the available services from the IX Node, and/or a type and accuracy of one or more IX Node sensors.

Vehicle assistance in smart infrastructure node assist zone

A three-dimensional grid model of a traffic scene can be determined based on grid elements. Weights can be determined for the grid elements of the three-dimensional grid model corresponding to priority regions and occluded grid elements. Grid coverage for respective stationary sensors can be determined based on the grid elements of the three-dimensional grid model. A matrix can be determined based on the grid coverage of the plurality of stationary sensors. An optimal subset of stationary sensors can be determined based on applying a greedy search algorithm to the matrix, the weights and costs corresponding to the plurality of stationary sensors to maximize the ratio of grid coverage to the cost based on poses of the plurality of stationary sensors.

Sensor optimization

A set of first candidate topologies of first candidate roadside infrastructure nodes at respective mounting locations in a geographic area is randomly generated. For each of the first candidate topologies, first simulations, including detection of objects according to selected sensor parameters, installation parameters, and environment parameters for the candidate nodes at the respective mounting locations, are executed. First fitness scores are determined for each of the first candidate topologies by comparing results of the first simulations to ground truth data. Upon identifying one of the first fitness scores as exceeding a threshold, the candidate topology associated with the identified first fitness score is identified for deployment.

Roadside infrastructure deployment

A vehicle may be configured to detect an object within an interior of the vehicle using a vehicle sensor. The vehicle may further determine whether the object should be removed, based on a determined object value, such as may be determined by comparison of an object characteristic to a database of objects. Also, responsive to determining the object should be removed, the vehicle may schedule removal at an automated object-removal center. The vehicle may also wirelessly notify the object-removal center of vehicle arrival when the vehicle arrives at the object-removal center, including sending identification of the object, receiving indication from the object-removal center that the object has been removed, and confirming removal of the object by attempting to detect the object using the vehicle sensor, the confirmation occurring based on non-detection of the object by the vehicle that originally detected the object and requested removal.

Method and apparatus for vehicle interior evaluation and situational servicing

The present disclosure relates to a method and system for communication between a vulnerable road user and an autonomous vehicle using augmented reality to highlight information to the vulnerable road user regarding potential interactions between the autonomous vehicle and the vulnerable road user.

System and method for communicating between autonomous vehicle and vulnerable road users

A transportation system comprising a logic node configured to determine an optimized rendezvous location for a vehicle in an area based at least in part on traffic data associated with a plurality of vehicles in the area; and a communication element adapted to communicate the optimized rendezvous location to the vehicle.

Enhanced transportation routing for communication with devices of vehicles and passengers

An infrastructure system includes at least one sensor, a transceiver, and a computer communicatively coupled to the at least one sensor and to the transceiver. The computer is programmed to receive data from the at least one sensor indicating respective locations and motions of objects in an environment surrounding the at least one sensor; in response to one of (a) the data from the at least one sensor or (b) a request from a user, generate a virtual traffic marker at a first location in the environment; and instruct the transceiver to broadcast the virtual traffic marker to vehicles in the environment. The first location is based on the data from the at least one sensor, and the virtual traffic marker is data including the first location and traffic instructions corresponding to the first location.

Infrastructure system

Systems, methods, and computer-readable media are disclosed for dynamic traffic lane management. Example methods may include receiving traffic information associated with vehicles travelling on a portion of a multilane road; designating at least one lane of the multilane road as a managed lane based on the traffic information; transmitting, via a vehicle-to-everything (V2X) communications protocol, a message to the vehicles, the message indicative of the designation of the lane as the managed lane; and receiving a confirmation message from a vehicle, the confirmation message indicative of the vehicle's acceptance of travelling on the managed lane.

Systems and methods for dynamic traffic lane management

Respective priorities are assigned to data about each of a plurality of objects based on a collision severity and a classification of each of the objects. A message is generated including at least some of the data ordered according to the priorities.

Adaptive vehicle-infrastructure communications

A system includes a processor configured to receive a plurality of traffic reports corresponding to individual road segments of an interconnected road network of road segments. The processor is also configured to determine a mitigation strategy, utilizing one or more temporary traffic controls existing for the individual road segments, designed to minimize overall traffic congestion on the road network and send control instructions for the one or more temporary traffic controls, instructing control in accordance with the determined mitigation strategy.

Method and apparatus for adaptive engagement of temporary traffic control measures and navigation response

Data is received from a vehicle in a stationary support structure. One or more physical attributes of an infrastructure element is determined based on the vehicle data.

Transportation infrastructure communication and control

An infrastructure element includes a computer that includes a processor and a memory. The memory stores instructions executable by the processor such that the computer is programmed to classify a traffic condition of a road segment based on data received from an object detection sensor with a field of view including the road segment and that is communicatively connected to the computer. The computer is programmed to broadcast, to an area including the road segment, a vehicle-to-vehicle communication parameter, determined based on the classified traffic condition and specifying one or more of (i) a channel identifier, (ii) a transmission rate, (iii) a transmission power, or (iv) a message size.

Vehicle-to-vehicle communication control

In a computer mounted to a stationary support structure a vehicle and an object proximate to the support structure can be detected from data from a sensor mounted to the support structure. A risk condition can be identified based on the detected vehicle and object.

An infrastructure component includes a sensor, a transmitter, and a computer communicatively coupled to the sensor and to the transmitter. The computer is programmed to, in response to receiving data from the sensor indicating an object approaching a predesignated zone, determine an estimated time until the object reaches the predesignated zone; and then instruct the transmitter to broadcast a message to nearby vehicles, the message including an identifier of the predesignated zone and the estimated time.

Growing community of inventors

Monroe, MI, United States of America

Helen Elizabeth Kourous-Harrigan