AR Windshield Driver Attention Display to Reduce Visual Distraction
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Solution Overview
Problem
Distracted driving is a significant cause of road accidents due to overwhelming and distracting information on vehicle displays and digital signs, which existing technologies have not effectively addressed.
Innovation Solution
A driver attention model, trained through federated learning and using sensor data and eye-tracking, is implemented to determine what information is displayed on an augmented reality windshield, reducing distractions by altering the driver's perception of the environment and providing relevant information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional vehicle displays show comprehensive information to drivers, then information completeness is improved, but driver distraction increases
Solution Approach 1:
The AR windshield applies local quality by selectively displaying information only in the specific visual fields where drivers are already looking. The system monitors driver eye direction and renders information locally in those specific regions, rather than uniformly across the entire windshield. This ensures information completeness in relevant areas while avoiding distraction in areas where the driver is not attending.
Solution Approach 2:
The display system dynamically adapts to the driver's changing attention patterns in real-time. As the driver moves their eyes and attention across the environment, the AR windshield dynamically updates the position and content of displayed information to match the driver's current focal points. This dynamic adaptation ensures information is always presented where the driver is already looking, preventing distraction while maintaining completeness.
2Loss of information
If augmented reality displays overlay information on the real-world environment, then information accessibility is improved, but visual clutter increases
Solution Approach 1:
The AR windshield implements local quality by rendering information only in specific localized regions corresponding to the driver's current visual attention. Rather than overlaying information uniformly across the entire field of view, the system concentrates display elements only in areas where the driver is already looking, thereby improving information accessibility without creating widespread visual clutter.
Solution Approach 2:
The system extracts and removes unnecessary or irrelevant information from the AR display based on real-time analysis of driver attention. By continuously monitoring which information is actually being viewed and which is ignored, the system extracts only the relevant information for display, leaving out redundant elements that would contribute to visual clutter while maintaining information accessibility for what matters.
3Loss of information
If digital signs and displays provide extensive information, then information availability is improved, but driver attention is diverted from the road
Solution Approach 1:
The AR windshield employs dynamics by continuously tracking driver eye movements and attention patterns in real-time, then dynamically adjusting the position, content, and timing of displayed information. This ensures information is presented only when and where the driver is already attending, maintaining information availability while preventing attention diversion. The system adapts its behavior based on the driver's current focus, ensuring reliability of driving attention.
Solution Approach 2:
The system implements feedback by using eye-tracking data to monitor driver attention patterns and using this information to control what and where information is displayed. This closed-loop feedback mechanism ensures that information presentation is continuously optimized based on actual driver behavior, maintaining information availability while preventing distraction by only displaying information in the driver's current field of attention.
Data Source
AI summary
The present disclosure includes apparatuses, methods, and systems for displaying output data from a driver attention model on a display. In an example, an apparatus can include a sensor, an augmented reality (AR) windshield, a memory, and a processor coupled to the memory, the sensor, and the AR windshield, wherein the processor is configured to receive an initial driver attention model, train the initial driver attention model to create a trained driver attention model, transmit the trained driver attention model, receive a global driver attention model based in part on the trained driver attention model, receive sensor data based on operation of the apparatus, run the global driver attention model on the sensor data to generate output data, and cause the output data to be displayed on the AR windshield.