Electronic Mirror Viewpoint Adaptation for Stable Rear Visibility
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Solution Overview
Problem
Conventional in-vehicle electronic mirrors struggle to maintain an intuitive and easily viewable rear visual field as driver posture changes, leading to inadequate rear visibility.
Innovation Solution
An image processing apparatus that adjusts the display image based on the driver's viewpoint position deviation from a reference viewpoint, updating this reference position over time to ensure an appropriate rear visual field, and superimposes a vehicle image to provide motion parallax, enhancing the sense of distance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the display view angle changes in accordance with head motion, then the visual field becomes intuitive and easily viewable, but the rear visual field becomes inappropriate when driver posture changes
Solution Approach 1:
The patent implements dynamic adjustment of the display view angle based on real-time detection of driver head position and posture. The system continuously tracks head motion and dynamically changes the camera image display range to maintain an intuitive visual field while compensating for posture variations through learned reference positions.
Solution Approach 2:
The system employs feedback mechanisms by detecting head position, comparing it with learned reference positions, and adjusting the display accordingly. The long-term fluctuation detection and reference position updating create a closed-loop feedback system that adapts to driver posture changes while maintaining visual field appropriateness.
2Stability of the object's composition
If the reference viewpoint position is fixed, then the display image is stable, but it cannot adapt to long-term posture changes of the driver
Solution Approach 1:
The reference viewpoint position is transformed from a fixed static value to a dynamic learned reference that adapts over time. The system maintains stability during normal operation while enabling gradual adaptation through continuous learning of driver posture patterns, resolving the contradiction between stability and adaptability.
Solution Approach 2:
The system performs preliminary learning of the driver's reference viewpoint position during an initialization phase or early operation period. This preliminary action establishes a baseline that provides stable display while enabling future adaptations as the system learns from accumulated posture data.
3Ease of operation
If the display image is adjusted frequently to track head motion, then the visual field remains intuitive, but the system complexity increases
Solution Approach 1:
The system creates a virtual model or copy of the driver's head position and posture state to drive the image processing. Instead of complex real-time processing of raw sensor data, the system uses a simplified representative model (reference viewpoint position) that captures the essential information needed for display adjustment, reducing system complexity.
Data Source
AI summary
A display image is obtained in accordance with a deviation of a viewpoint position of a driver from a reference viewpoint position, on the basis of a captured image obtained by capturing an image on a rear side from a vehicle. The reference viewpoint position is updated on the basis of a long-term fluctuation of the viewpoint position. For example, the reference viewpoint position is not updated when a line-of-sight of the driver is in a certain region including a display unit that displays a display image. For example, when a viewpoint position of the driver enters a certain region corresponding to a seated state, there is registered, as an initial reference viewpoint position, a viewpoint position of the driver in a case where a line-of-sight of the driver is continuously present for a certain period of time on the display unit that displays a display image.