Motion Stabilization SDK for Vehicle Displays and Eye Motion
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Solution Overview
Problem
Existing motion stabilization technologies in display devices, particularly in moving vehicles, struggle to effectively account for both device and user eye motion, leading to readability issues and user distraction.
Innovation Solution
A motion stabilization software development kit (SDK) framework that integrates sensors for device and vehicle motion data, an API layer, and a stabilization model to adjust screen positions based on these data, ensuring synchronized image movement with user gaze and minimizing motion-related blur.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If motion stabilization adjusts display position based on device motion only, then device motion compensation is achieved, but user eye motion is not accounted for resulting in residual blur and readability issues
Solution Approach 1:
The motion stabilization system segments the motion compensation task into two independent components: device motion compensation and eye motion compensation. Device motion is captured by motion sensors while eye motion is tracked by an eye tracker, allowing each to be processed and compensated separately before being combined in the display rendering pipeline.
Solution Approach 2:
An eye tracker serves as an intermediary device between the user and the display system, capturing eye motion data that would otherwise be unavailable. This intermediary component enables the system to directly measure and compensate for eye motion, bridging the gap between device-level motion sensing and user-level visual stability.
2Measurement precision
If the system integrates both device and vehicle sensors, then motion data accuracy improves, but system complexity increases
Solution Approach 1:
The motion stabilization module serves multiple functions within the display system: it processes device motion data from inertial sensors, integrates vehicle motion data from external sensors, coordinates with the eye tracker, and manages display rendering adjustments. This multi-functional design consolidates what could be separate complex systems into a single coordinated module.
Solution Approach 2:
The eye tracker acts as an intermediary that simplifies the overall system architecture by providing a dedicated interface for eye motion capture. Rather than attempting to infer eye motion from device sensors alone, the intermediary eye tracker directly measures eye position, reducing the computational complexity of motion estimation while improving accuracy.
3Reliability
If the display position is dynamically adjusted to follow user gaze, then readability is maintained, but additional sensors and processing are required
Solution Approach 1:
The system replaces mechanical display adjustment mechanisms with computational rendering adjustments. Instead of physically moving the display to track eye gaze, the system dynamically adjusts the rendered image content based on eye tracker data, achieving the same visual stability effect through software rather than mechanical means.
Solution Approach 2:
The eye tracker serves as an intermediary that enables gaze-following functionality without requiring complex mechanical or optical display adjustment mechanisms. By capturing eye position data and translating it into rendering adjustments, the intermediary eye tracker simplifies the implementation of dynamic display adaptation.
Data Source
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AI summary
Embodiments of the present disclosure provide motion stabilization software development kit and framework. An example motion stabilization software development kit may include a hardware layer that includes a first set of one or more sensors configured for generating device motion data for a display device within a vehicle and a second set of one or more sensors configured for generating vehicle motion data for the vehicle. The example motion stabilization software development kit may include an API layer that includes one or more APIs and an application layer that includes one or more applications communicatively coupled to the first and second set of one or more sensors. The example motion stabilization software development kit may include a software development kit abstraction layer that includes a motion stabilization model configured to adjust a position of an object on a screen of the display device.