Vehicle Camera Resolution Checks Using Road Reference Charts
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Solution Overview
Problem
Existing automated driving systems face challenges in maintaining the resolution of camera images due to vibrations and temperature changes, which can lead to unsafe driving conditions, and frequent manual inspections are burdensome for users.
Innovation Solution
An information processing apparatus and system that captures images of charts installed on the road at predetermined distances, analyzes these images to calculate camera resolution, and adjusts automated driving levels based on the results, ensuring precise and frequent inspections without user burden.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual inspections are performed frequently to maintain camera resolution, then measurement precision is improved, but ease of operation deteriorates due to user burden
Solution Approach 1:
The system enables self-service by allowing the vehicle to automatically perform resolution inspections using its own camera to capture images of reference charts on the road, eliminating the need for external dedicated testers and user intervention. The inspection process is integrated into normal driving operations.
Solution Approach 2:
The system performs preliminary actions by continuously monitoring camera resolution during normal driving operations before problems occur. The reference charts are pre-positioned on the road at specific locations, allowing the system to proactively detect resolution deterioration rather than waiting for manual inspections.
2Measurement precision
If dedicated testers are used for resolution inspection, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system achieves universality by making the vehicle's existing camera serve multiple functions: both capturing images for automated driving and performing resolution inspections. The same imaging device is used for both operational purposes and diagnostic purposes, eliminating the need for separate dedicated testers.
Solution Approach 2:
The reference charts positioned on the road serve as intermediaries that enable resolution measurement without requiring complex testing equipment. These simple visual references allow the system to calculate resolution based on captured image dimensions, replacing the need for sophisticated measurement devices.
3Reliability
If resolution inspection is performed continuously, then reliability is improved, but use of energy increases
Solution Approach 1:
The system implements periodic action by performing resolution inspections at specific intervals when the vehicle passes reference charts positioned on the road at predetermined locations. Rather than continuous processing, the system triggers inspections only when reference objects are detected in the camera field of view, reducing overall energy consumption.
Solution Approach 2:
The system applies partial action by selectively processing only those images that contain reference charts for resolution measurement. The image analysis is performed partially on the captured data, focusing computational resources only on frames that provide useful resolution information rather than processing all captured images.
Data Source
AI summary
There is provided an information processing system that includes an image analyzing section that selects, from camera-captured images and as an image for resolution analysis, an image captured at a timing of detection of a reference line. The information processing system further includes a resolution calculating section that calculates the resolution of captured images by using a chart image for resolution analysis included in the image for resolution analysis selected by the image analyzing section. The reference line is recorded on a road, where a moving apparatus that includes the information processing system is running, at positions at a constant distance from a chart for resolution analysis installed on the road.