Around-View Image Processing for Display and Object Detection
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Solution Overview
Problem
The existing around view monitoring (AVM) systems face inefficiencies in cost and performance due to the need for multiple cameras with individual processors, which complicates image processing for both display and object detection, leading to suboptimal image quality and detection limitations.
Innovation Solution
The system employs a dual-image processor architecture, where a first image processor generates and displays a top view image based on display settings, and a second image processor processes images for object detection using recognition settings, with the ability to correct and validate image quality to prevent over-correction and ensure accurate detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a single image processor is used for both display and object detection, then cost is reduced, but image processing performance and detection accuracy deteriorate
Solution Approach 1:
The patent divides the image processing function into two separate processors: a first image processor dedicated to generating display images (top view images) and a second image processor dedicated to object detection. This segmentation allows each processor to be optimized for its specific function, with the second processor receiving corrected images from the first processor to enhance detection accuracy without requiring both processors to handle all processing tasks independently from raw inputs.
Solution Approach 2:
The patent combines the image correction function into the first image processor's workflow, where correction images are generated as part of the display image creation process. These corrected images are then utilized by the second image processor for object detection, merging the benefits of correction into both display and detection functions without requiring a separate correction processor.
2Manufacturing precision
If image correction is applied for display purposes, then display quality is improved, but object detection performance deteriorates due to over-correction
Solution Approach 1:
The patent applies different processing qualities to different functional needs: the first image processor applies full correction processing optimized for display quality, while the second image processor receives these corrected images and performs detection. The system recognizes that the correction level appropriate for display may be excessive for detection, so it uses the corrected images as input rather than applying additional correction, allowing each function to utilize the appropriate image quality level.
Solution Approach 2:
The first image processor acts as an intermediary that generates corrected images specifically tailored for display, and these corrected images serve as the input medium for the second image processor. This intermediary role allows the system to provide high-quality corrected images to the display function while the detection function benefits from the correction without suffering from over-correction, as the second processor is designed to handle the corrected image format.
3Productivity
If multiple cameras with individual processors are installed, then image processing capability is improved, but system cost and complexity increase
Solution Approach 1:
The patent merges the image correction functionality into the first image processor that generates display images, eliminating the need for separate correction processors in each camera. The first image processor receives images from multiple cameras and performs correction as part of its display image generation workflow, while the second image processor handles detection using the corrected images from the first processor, reducing overall system complexity.
Solution Approach 2:
The first image processor serves multiple functions: it processes images from multiple cameras, performs correction optimized for display, and generates the corrected images that serve as input for the second image processor's detection function. This multi-functionality reduces the need for dedicated processors for each function, thereby reducing system complexity while maintaining high processing capability.
Data Source
AI summary
An around view monitoring system according to an embodiment of the present disclosure includes a first image processor configured to generate a top view image by stitching a plurality of images received from a plurality of cameras mounted to a vehicle, process the top view image based on a display setting, and control to display the processed top view image on a display; and a second image processor configured to process an image received from at least one camera among the plurality of cameras based on a recognition setting, and detect an object in the processed image.