Ford Global Technolgoies, LLC

Prayat Anil Hegde

Kwaku O Prakah-Asante

Jian Wan

Jayanthi Rao

Jeffrey Allen Greenberg

Harald C Martinez

Reates Curry

Brett Stottlemyer

Mike Bloomer

A roadway complexity awareness system for a vehicle, comprising a processor, an augmented reality interface disposed in communication with the processor, and a memory for storing executable instructions. The processor is programmed to execute the instructions to receive roadway status information from an infrastructure processor associated with a roadway, obtain, from a vehicle sensory system, sensory information indicative of roadway route complexity, and determine a likelihood of roadway route complexity based on the roadway status information and the sensory information. The system may select an augmented reality message indicative of the roadway route complexity, and generate the augmented reality message using an augmented reality interface device, wherein the augmented reality message is visible to a vehicle operator.

User-tailored roadway complexity awareness

A method and system for providing integrated augmented reality (AR) images and content to multiple vehicle occupants having AR devices and methods of generating user-based AR expressions including content control of user generated content.

Integrated augmented reality system for sharing of augmented reality content between vehicle occupants

A User-centric Enhanced Pathway (UEP) system may provide vehicle pathway guidance while driving using an augmented reality display system in the event of sun glare. The system uses a route observer module programmed to predict sun glare, by obtaining real-time information about the interior and exterior vehicle environment, heading, speed, and other data. The route observer module may also use an inward-facing camera to determine when the driver is squinting, which may increase the probability function that predicts when the driver is experiencing sun glare. When sun glare is predicted, the route observer sends the weighted prediction function and input signals to a decision module that uses vehicle speed, location, and user activity to determine appropriate guidance output for an enhanced pathway using an Augmented Reality (AR) module. The AR module may adjust brightness, contrast, and color of the AR information based on observed solar glare.

Enhanced augmented reality vehicle pathway

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Dearborn, MI, United States of America

Prayat Anil Hegde