Mobile Object Vision Control for Selective Distortion Correction
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Solution Overview
Problem
Processing for reducing distortion in images captured by wide-angle or fisheye lenses in cameras consumes significant power, leading to increased power consumption in vehicles and other mobile objects, which can hinder effective environmental recognition.
Innovation Solution
A control device for mobile objects that includes an image acquisition unit, a correction unit for performing distortion reduction processing on specific regions of the image, and a recognition unit, where the correction unit determines the regions for distortion reduction based on a predetermined rule according to the moving scene, thereby optimizing power usage and recognition accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If distortion reduction processing is excessively executed to recognize the external environment, then recognition accuracy is improved, but power consumption increases
Solution Approach 1:
The patent divides the image into multiple regions and applies distortion reduction processing selectively to specific regions rather than the entire image. This segmentation approach allows the system to maintain recognition accuracy in critical areas while reducing overall processing power consumption.
Solution Approach 2:
The patent implements local quality by determining specific regions that require distortion reduction based on predetermined rules related to the mobile object's movement scene. Only these identified regions undergo processing, optimizing the balance between recognition accuracy and power consumption.
2Measurement precision
If distortion reduction processing is performed on the entire image, then comprehensive environmental recognition is improved, but processing efficiency decreases
Solution Approach 1:
The patent segments the image into multiple regions and identifies specific areas requiring distortion reduction based on movement scene analysis. This selective approach maintains comprehensive environmental recognition while significantly improving processing efficiency by avoiding unnecessary processing of entire images.
Solution Approach 2:
The patent applies partial action by performing distortion reduction only on specific regions that are determined to be necessary based on predetermined rules, rather than applying excessive processing to the entire image. This optimizes the balance between recognition completeness and processing efficiency.
Data Source
AI summary
A control device for a mobile object including one or more imaging devices, the control device includes an image acquisition unit configured to acquire an image of an external environment of the mobile object from the one or more imaging devices, a correction unit configured to perform distortion reduction processing for reducing distortion of an image for each of one or more regions included in an image acquired from the one or more imaging devices, and a recognition unit configured to recognize the external environment of the mobile object based on an image on which the distortion reduction processing has been performed. The correction unit is configured to determine the one or more regions to be a target of the distortion reduction processing in accordance with a predetermined rule according to a moving scene of the mobile object.