Gradient Change Detection for Accurate Vehicle HUD Image Correction
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Solution Overview
Problem
Existing systems fail to accurately detect gradient changes in a vehicle's traveling path, leading to erroneous corrections in the display position of virtual images, which can result in inappropriate display of guide routes and other information.
Innovation Solution
A gradient change detection system that utilizes a gyro sensor to detect posture changes in a vehicle, distinguishing between changes due to road unevenness and gradient changes, and adjusts the display position accordingly by resetting or reducing the correction amount when a gradient change is detected.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the display position is corrected based on posture change detection, then the display accuracy on uneven roads is improved, but erroneous corrections occur on gradient paths
Solution Approach 1:
The posture change detection is segmented into two distinct components: road unevenness detection and gradient change detection. By separating these two causes of posture change, the system can apply correction only for road unevenness while excluding gradient changes, thereby eliminating erroneous corrections on inclined paths while maintaining accuracy on uneven roads.
Solution Approach 2:
A gradient change detection mechanism serves as an intermediary that monitors and identifies gradient changes. This intermediary component provides information to the display position correction system, enabling it to distinguish between valid correction scenarios (road unevenness) and invalid scenarios (gradient changes), thus preventing erroneous corrections.
2Adaptability or versatility
If the correction amount is continuously adjusted based on posture changes, then the display follows the vehicle movement, but the display becomes inaccurate on slopes
Solution Approach 1:
The continuous correction process is segmented by introducing a gradient change detection checkpoint. The system divides the correction logic into gradient change periods (where correction is suspended) and non-gradient periods (where correction is applied). This segmentation allows the display to adapt to vehicle movement on level ground while maintaining accuracy on slopes by excluding gradient-induced posture changes from correction.
Solution Approach 2:
The correction system dynamically adjusts its behavior based on gradient change detection. When a gradient change is detected, the system transitions to a non-correction mode; when no gradient change is present, it operates in correction mode. This dynamic adaptation enables the system to maintain precision across varying road conditions.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This system effectively reduces erroneous corrections caused by gradient changes, ensuring accurate and appropriate display of virtual images, even on inclined paths, by distinguishing between posture changes due to road unevenness and gradient changes.
Implementation Method 1
a gyro sensor to detect posture changes in a vehicle
Data Source
Figure 1
Figure 2
Figure 3A~3B
AI summary
A display system includes a display processing device (30) that controls display of an image, a posture detection unit (40) that detects a posture change amount in a rotation direction about a left-right direction with respect to a traveling direction of a moving body, a displacement amount calculator (52a), a correction processing device (50) including a correction amount calculator (52b) that calculates a correction amount of a display position of the image based on the posture change amount, and a gradient change detector (52c) that detects a change in a gradient of the traveling path based on the posture change amount or a variation amount in predetermined unit time of the posture change amount. The correction processing device (50) adjusts the correction amount based on a detection result of the gradient change detector (52c).