Aircraft Sensor Image Field of View Adjustment for Low Visibility
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Solution Overview
Problem
Conventional Enhanced Flight Vision Systems (EFVS) struggle to provide useful information during low visibility conditions, as sensor-based images can be noisy and distracting, hindering pilot performance during approach and landing operations.
Innovation Solution
A control module that adjusts the Field Of View (FOV) of sensor-based images on aircraft flight deck displays based on received visibility information, reducing the FOV when low visibility conditions are detected to minimize noise and enhance relevant information display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If the FOV of sensor images is increased to provide broader situational awareness, then the area of displayed information is improved, but the noise and distraction level increases during low visibility conditions
Solution Approach 1:
The system dynamically adjusts the FOV of sensor images based on detected visibility conditions. During low visibility conditions, the FOV is automatically reduced to minimize noise and distraction, while during good visibility conditions, the FOV is expanded to provide broader situational awareness. This dynamic adaptation resolves the contradiction by making the displayed area variable rather than fixed.
Solution Approach 2:
The system changes the FOV parameter of sensor images based on visibility conditions. By adjusting this key parameter, the system optimizes the balance between providing sufficient displayed area for situational awareness and limiting noise/distraction during low visibility operations.
2Object-generated harmful factors
If the FOV of sensor images is reduced to minimize noise during low visibility, then the harmful distraction effect is reduced, but the situational awareness capability deteriorates
Solution Approach 1:
The system dynamically adjusts the FOV based on real-time visibility detection. When visibility is good, a larger FOV provides comprehensive situational awareness. When visibility deteriorates, the system automatically reduces FOV to minimize distraction while maintaining essential awareness, thus resolving the information loss concern through context-appropriate display adaptation.
Solution Approach 2:
The FOV parameter is adjusted based on visibility conditions to optimize the balance between minimizing distraction and maintaining situational awareness. This parameter change ensures that the display provides appropriate information levels matched to current operational conditions.
3Adaptability or versatility
If the FOV is dynamically adjusted based on visibility conditions, then the adaptability to different operating environments is improved, but the device complexity increases
Solution Approach 1:
The control module is segmented into distinct functional components: a visibility detection subsystem that monitors environmental conditions, and a FOV adjustment subsystem that modifies sensor image display parameters. This segmentation allows the complex adaptability function to be implemented through modular, manageable components, reducing overall system complexity while maintaining high adaptability.
Data Source
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AI summary
A vehicle system and method are provided. The system includes a control module coupled to an imaging system and a display system. The control module receives position and location information of the aircraft, and processes that with map features to identify a landing location. The control module commands the display system to render on display system a landing image having thereon a sensor based visually enhanced area defined by a field of view (FOV) of first dimensions. The control module continually receives and processes visibility reports to determine the visibility at the landing location. When there is low visibility at the landing location, the control module reduces the FOV dimensions.