In-Vehicle Camera Image Processing for Fault Location Diagnosis
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Solution Overview
Problem
In-vehicle image processing systems face challenges in accurately identifying the source of camera failures when composited view images include single-color images, leading to difficulties in determining whether the failure is in the image processing apparatus or the in-vehicle information processing apparatus.
Innovation Solution
An image processing apparatus that composites view images from multiple cameras and an in-vehicle information processing apparatus that receives these images, with a controller circuitry that determines the state of the shift lever and camera installation location to disable stuck-state detection functions in specific states, facilitating the identification of faulty cameras.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the in-vehicle information processing apparatus outputs entirely black images as fail-safe when detecting stuck state, then safety is improved, but the ability to specify failure location deteriorates
Solution Approach 1:
The display screen is divided into multiple regions corresponding to different camera fields of view. Instead of displaying a uniform black image across the entire screen, the system segments the display to show black only in the region corresponding to the failed camera, while other regions continue to display normal images from functioning cameras. This segmentation preserves the ability to identify which specific camera has failed.
Solution Approach 2:
The fail-safe response is applied locally rather than globally. When a camera failure is detected, the black image treatment is applied only to the specific display region corresponding to that camera's field of view, while other regions maintain their normal display quality. This local application of the fail-safe measure preserves diagnostic information about which camera failed.
2Measurement precision
If the in-vehicle information processing apparatus detects stuck state of view images, then failure detection is improved, but false detection increases when single-color images are input
Solution Approach 1:
The image processing apparatus acts as an intermediary between the cameras and the in-vehicle information processing apparatus. It pre-processes the images from failed cameras, replacing single-color images with black images before they reach the stuck state detection function. This intermediary processing prevents the detection algorithm from misinterpreting single-color images as stuck states, thereby reducing false detections.
Solution Approach 2:
The system performs preliminary action by replacing single-color images with black images before the stuck state detection function is executed. This pre-treatment ensures that when the detection algorithm analyzes the images, it encounters black images from failed cameras rather than single-color images, preventing false positive detections and improving the accuracy of actual stuck state detection.
Data Source
AI summary
An image processing apparatus is disclosed, which facilitates specifying a failed location when a failure occurs in displaying view images. The image processing apparatus processes view images from a plurality of in-vehicle cameras and outputs the processed view images to an in-vehicle information processing apparatus having a function of detecting stuck-states of the view images to be input. Controller circuitry of the image processing apparatus, when any of the plurality of in-vehicle cameras is determined to be faulty, determines any of a plurality of states defined by combinations of shift lever states of a vehicle and an installation location of the faulty in-vehicle camera. The controller circuitry instructs the in-vehicle information processing apparatus to disable the stuck-state detection function in the predetermined specific state among the plurality of states.