Multi-Camera Distortion Correction for Low-Power Vehicle Recognition
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Processing to reduce distortion in images captured by cameras with wide-angle or fisheye lenses consumes significant power, leading to increased power consumption when extensively executed for environmental recognition in vehicles or other mobile objects.
Innovation Solution
A control device for mobile objects equipped with multiple imaging devices, including a standard camera and fisheye cameras, performs distortion reduction processing selectively on specific regions of the images from the fisheye cameras, allowing for efficient power use while maintaining effective environmental recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If distortion reduction processing is extensively executed on images from multiple imaging devices to recognize the external environment, then recognition accuracy is improved, but power consumption increases
Solution Approach 1:
The patent divides the image processing task into segments by identifying specific regions of interest (ROIs) within the images from multiple imaging devices. Instead of applying distortion reduction processing to entire images, the system segments and processes only the necessary regions containing relevant environmental information, thereby reducing computational load and power consumption while maintaining recognition accuracy.
Solution Approach 2:
The patent applies different processing qualities to different regions of the images. High-quality distortion reduction processing is applied only to regions of interest that contain critical environmental information, while other regions receive minimal or no processing. This local quality approach ensures that recognition accuracy is maintained for important areas while reducing overall power consumption.
2Area of stationary object
If distortion reduction processing is applied to all regions of images from multiple imaging devices, then complete environmental coverage is achieved, but processing time and power consumption increase
Solution Approach 1:
The patent extracts and processes only the essential regions of interest from the images, removing unnecessary processing of non-critical areas. By taking out and focusing solely on the regions containing relevant environmental information, the system achieves adequate environmental coverage while significantly reducing processing time and power consumption.
Solution Approach 2:
The patent applies partial action by processing only the necessary portions of images rather than entire images. The system performs distortion reduction processing on selected regions of interest that provide sufficient environmental coverage for safe operation, avoiding excessive processing of all image areas and thereby reducing processing time while maintaining functional adequacy.
Data Source
AI summary
A control device for a mobile object includes an image acquisition unit configured to acquire an image of an external environment from 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 images acquired from the 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. When a first region that is an imaging region in a specific direction with respect to the mobile object in an image acquired from a first imaging device is set as a target of the distortion reduction processing, a second region that is an imaging region in the specific direction in an image acquired from a second imaging device is set as a target of the distortion reduction processing.