Dual-Sensor Fusion for Wide-Field and High-Resolution Detection
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Solution Overview
Problem
Military combat vehicle crews face challenges in detecting threats due to limited visibility from camouflage and high workload, leading to potential exposure to unseen threats.
Innovation Solution
A detection assistance method using a dual-sensor system with a wide-field image acquisition device and an orientable narrow-field sensor, generating a fused image with high resolution for enhanced threat detection and classification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of moving object
If a single wide-field sensor is used to provide panoramic views, then the field of view is improved, but the image resolution deteriorates
Solution Approach 1:
The system divides the imaging task into two segments: a wide-field sensor captures the entire panoramic view, while a narrow-field sensor captures high-resolution details of specific regions. This segmentation allows each sensor to optimize for its specific function, resolving the contradiction between wide coverage and high resolution.
Solution Approach 2:
The system merges the outputs of two sensors with different characteristics into a single fused image. The wide-field sensor provides the panoramic context while the narrow-field sensor provides high-resolution details, combining both advantages to simultaneously achieve wide field of view and high image resolution.
2Measurement precision
If a single high-resolution narrow-field sensor is used, then the image resolution is improved, but the field of view deteriorates
Solution Approach 1:
The imaging function is segmented between two sensors: the narrow-field sensor focuses on capturing high-resolution images of specific regions of interest, while the wide-field sensor captures the broader context. This eliminates the need for a single sensor to compromise between resolution and field of view.
Solution Approach 2:
The detection system performs multiple functions using two sensors: it provides both panoramic surveillance coverage and detailed target identification. The system universally handles both wide-area monitoring and close-up inspection, making it adaptable to various detection scenarios.
3Measurement precision
If continuous scanning with high-resolution sensor is performed, then detection precision is improved, but energy consumption and system complexity worsen
Solution Approach 1:
Instead of continuous scanning, the system uses periodic wide-field imaging combined with selective narrow-field scanning only when differences are detected. This periodic action with conditional triggering maintains high detection precision while significantly reducing energy consumption by keeping the narrow-field sensor inactive most of the time.
Solution Approach 2:
The system uses the wide-field sensor to automatically detect changes and differences in the environment, then triggers the narrow-field sensor only when needed. This self-service mechanism allows the system to autonomously determine when high-resolution imaging is necessary, eliminating the need for continuous energy-intensive scanning.
Data Source
AI summary
The present invention relates to a method for assisting in the detection of elements in an environment, comprising:the acquisition of a first wide-field image of an environment by a first sensor (14A) having a first field of view and a first resolution,the generation of a fused image from first narrow-field images of the environment acquired by a second sensor (14B) having a second field of view strictly less than the first field of view and a second resolution finer than the first resolution,In response to the detection of a difference relating to an element on a second wide-field image acquired by the first sensor (14A), compared to the first wide-field image, the acquisition of a second narrow-field image imaging the difference, andthe update the fused image with the second narrow-field image.