Surround View Image Boundary Control for Parking Frame Visibility
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Solution Overview
Problem
Existing vehicle surroundings monitoring systems fail to provide clear visibility of parking frames during parking assistance, as boundary lines between camera images often overlap with the frame, resulting in distorted and less visible images.
Innovation Solution
A control device and method that generate bird's-eye view and three-dimensional images using data from multiple cameras, determining the presence of objects in boundary regions and adjusting these regions to prevent overlap with predetermined objects like parking frames, thereby improving visibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If boundary lines between captured images are displayed in the bird's-eye view image and three-dimensional image, then the complete surroundings information is provided, but the visibility of parking frames and predetermined objects is reduced due to overlapping
Solution Approach 1:
The patent applies local quality by making different parts of the image have different properties. Specifically, the boundary lines are made transparent or hidden in regions where parking frames or predetermined objects are detected, while remaining visible in other regions. This allows the system to preserve complete surroundings information overall while locally improving the visibility of important objects like parking frames by adjusting the boundary line properties only in the necessary areas.
2Reliability
If boundary lines are displayed to show complete imaging data coverage, then full surveillance is achieved, but image distortion and reduced visibility occur in parking assistance scenarios
Solution Approach 1:
The system maintains reliable surroundings monitoring by keeping boundary lines visible in most areas while applying local quality adjustments to eliminate distortion effects. When parking frames or predetermined objects are detected, the boundary lines in those specific regions are made transparent or hidden, removing the harmful distortion effect only where it occurs while preserving the monitoring reliability in other areas.
Solution Approach 2:
The patent converts the harmful effect of boundary lines overlapping with parking frames into a benefit by using the boundary line position information to detect and highlight predetermined objects. The overlapping that was initially harmful becomes a useful indicator for identifying important objects like parking frames, which are then specially processed to improve their visibility and prevent harmful distortion.
3Illumination intensity
If boundary region is changed to avoid overlap with parking frames, then visibility of parking frames is improved, but the boundary between captured images may shift from its original position
Solution Approach 1:
The patent resolves this contradiction by applying local quality - the boundary line position is maintained with high precision in regions where it does not overlap with parking frames, while locally adjusting or hiding the boundary lines only in the specific regions where parking frames or predetermined objects are detected. This approach preserves boundary position accuracy overall while locally improving parking frame visibility where needed.
Data Source
AI summary
A control device includes circuitry configured to: generate a bird's-eye view image and a three-dimensional image that show a moving body and surroundings of the moving body, based on respective pieces of imaging data obtained by a plurality of imaging devices of the moving body; cause a display device to display the generated bird's-eye view image and the generated three-dimensional image; and determine whether a predetermined object is present in a boundary region between the respective pieces of imaging data in the bird's-eye view image and the three-dimensional image. Upon determining that the predetermined object is present in the boundary region, the circuitry is configured to preferentially change the boundary region in the three-dimensional image among the displayed bird's-eye view image and the displayed three-dimensional image.