Windshield Display Control for Curved AV Viewing and Driver Safety
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Solution Overview
Problem
Commuters experience boredom and safety hazards due to the lack of suitable display systems in autonomous vehicles, which are not designed for optimal image presentation and can distract drivers when large displays are used during manual operation.
Innovation Solution
A system that uses sensors and machine learning to control a display device, transforming image data for optimal viewing on a curved windshield and adjusting display states based on passenger engagement and vehicle mode, ensuring safety and entertainment during autonomous travel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If large displays are used in autonomous vehicles, then passenger entertainment and engagement are improved, but driver distraction and safety hazards increase
Solution Approach 1:
The display system is segmented into multiple independent display zones (windshield, dashboard, door panels, rear window) that can be controlled separately. This allows entertainment content to be displayed in passenger zones while keeping driver zones clear or showing only essential information, thus providing passenger entertainment without causing driver distraction.
Solution Approach 2:
Different display characteristics and content are provided for different zones within the vehicle. Passenger areas receive full-featured entertainment displays while the driver area receives simplified or restricted displays, ensuring each zone has the appropriate quality and functionality for its intended use.
2Manufacturing precision
If display systems are optimized for curved windshields, then image presentation quality is improved, but device complexity increases
Solution Approach 1:
The display system dynamically adjusts image parameters (distortion correction, perspective, focus) based on the curvature of the windshield and the position of passengers. This dynamic adaptation allows high-quality image presentation on curved surfaces without requiring complex fixed optical structures, as the system adjusts in real-time based on sensor feedback.
Solution Approach 2:
An intermediary processing layer is introduced between the content source and the display medium. This intermediary system handles image transformation, distortion correction, and optimization for curved surfaces, separating the complexity of image processing from the physical display hardware and enabling simpler display components to achieve high-quality results.
3Measurement precision
If multiple sensors and machine learning models are integrated, then display control accuracy and safety are improved, but system complexity increases
Solution Approach 1:
The sensor system and machine learning models serve multiple functions: they monitor passenger engagement, detect driver state, optimize display parameters, ensure safety, and adapt content in real-time. This multi-functionality justifies the integration complexity by providing comprehensive control and monitoring capabilities from a unified system rather than separate dedicated systems for each function.
Data Source
AI summary
A display device of an autonomous vehicle is controlled based on data collected from sensors located in or on the vehicle. The display device is used to present one or more images to a driver and/or passengers of the autonomous vehicle. The display device can be, for example, a windshield and/or other window of the vehicle. Image data can be, for example, transformed to improve visual perception by passengers in the vehicle when the images are displayed on a curved shape of the windshield.