Vehicle Image Processing System for Obstacle Detection
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Solution Overview
Problem
Existing image processing systems for connected cars face increased processing loads when performing obstacle detection on all acquired images, leading to inefficiencies and potential delays.
Innovation Solution
An image processing system that includes a possibility determination unit to assess if an obstacle is present in acquired images, a transmitting unit to send relevant image information, a receiving unit to perform image processing, and a duplication determination unit to avoid redundant processing on previously identified obstacles, thereby reducing the processing load and improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image processing is performed on all acquired images transmitted from the vehicle, then complete obstacle detection coverage is achieved, but the processing load on the information processing device increases
Solution Approach 1:
The system performs preliminary actions at the vehicle side by using the possibility determination unit to pre-assess images before transmission. This preliminary filtering ensures that only images with potential obstacles are processed centrally, maintaining detection coverage while reducing redundant processing load on the information processing device
Solution Approach 2:
The image processing workflow is segmented into two stages: initial possibility determination at the vehicle side, and detailed obstacle identification at the central processing side. This segmentation allows the system to handle different processing tasks at appropriate locations, reducing overall processing load while maintaining comprehensive detection
2Reliability
If image processing is performed on all acquired images, then no obstacles are missed, but transmission quantity of image information increases
Solution Approach 1:
The system extracts and transmits only the essential image information that contains potential obstacles, rather than transmitting all acquired images. The possibility determination unit identifies and extracts only those images warranting further processing, reducing transmission quantity while maintaining detection completeness
Solution Approach 2:
By performing preliminary possibility determination before transmission, the system prepares and filters image data in advance, ensuring that only necessary image information is transmitted to the central device for detailed processing
3Measurement precision
If image processing is performed repeatedly on the same obstacle, then detection accuracy is maintained, but processing load increases
Solution Approach 1:
The duplication determination unit implements a feedback mechanism that checks whether an obstacle has already been identified before processing new images. This feedback loop prevents redundant processing of the same obstacle while maintaining accurate identification through selective re-processing of new obstacles
Data Source
AI summary
An image processing system includes: a possibility determination unit that determines whether there is a possibility that an obstacle is shown in an image acquired by an image acquisition device of a vehicle; a transmitting unit that transmits, from the vehicle, image information of the acquired image if it has been determined that there is a possibility that an obstacle is shown therein; a receiving unit that receives the image information from vehicles; a processing unit that performs image processing to identify an obstacle shown in the acquired image; and a duplication determination unit that determines whether or not an identified obstacle, which has been identified in a previous acquired image, is shown in a subsequent acquired image received by the receiving unit, wherein the processing unit performs the image processing on the subsequent acquired image if the subsequent acquired image has been determined to not show the identified obstacle.