Imaging Sensor Occlusion Detection via Compressed File Size
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Solution Overview
Problem
Existing imaging sensors in autonomous vehicles face challenges in detecting occlusions, which can lead to inaccurate image capture and critical decision-making issues, often requiring redundant systems and significant processing resources.
Innovation Solution
A method and system for detecting sensor occlusion by analyzing the file size of compressed image files generated by imaging sensors, using threshold values and statistical methods to determine if an imaging sensor is occluded, allowing for real-time assessment and control adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If redundant imaging sensor systems are used to detect occlusions, then reliability improves, but device complexity increases
Solution Approach 1:
The imaging sensor system performs self-diagnosis by analyzing its own compressed image data to detect occlusions. The processor compresses image data and analyzes the compressed representation to determine if the sensor is occluded, eliminating the need for separate redundant sensor systems while maintaining reliability.
Solution Approach 2:
Compressed image data serves as an intermediary between the raw image sensor output and the occlusion detection decision. By using compressed data as the analysis medium, the system achieves reliable occlusion detection without requiring additional physical sensor components, thus reducing device complexity.
2Productivity
If image data is compressed to reduce processing load, then productivity improves, but measurement precision deteriorates
Solution Approach 1:
The system changes the parameter of data representation from uncompressed to compressed image data for the detection process. By analyzing occlusions in the compressed domain rather than the raw domain, the system maintains detection precision while significantly improving processing efficiency and productivity.
Data Source
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AI summary
The technology relates to detecting possible imaging sensor occlusion. In one example, a system including an imaging sensor 300 and one or more processors 120 may be configured to capture first image data using the imaging sensor. The one or more processors may encode the first image data into an uncompressed image file and generate a compressed image file based on the uncompressed image file. The file size of the compressed image file may be determined and based on the file size of the compressed image file, the system may determine that the imaging sensor is possibly occluded.