UAV HDR Automatic Exposure Control via Window Weight Evaluation
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Solution Overview
Problem
Existing automatic exposure methods for high-dynamic-range (HDR) images in unmanned aerial vehicles (UAVs) often result in inaccurate brightness and darkness, as well as oscillation, due to the requirement for multiple exposures.
Innovation Solution
A method for HDR image automatic exposure in UAVs, which involves obtaining statistical information and window weights, calculating an evaluation value, determining a compensation amount, and triggering automatic exposure when the compensation amount meets a preset trigger condition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If conventional video exposure methods are used for HDR imaging, then the exposure process is simple, but brightness and darkness accuracy deteriorates and oscillation occurs
Solution Approach 1:
The patent segments the exposure process into multiple discrete exposure steps with different exposure times, allowing independent control of each exposure phase. This segmentation enables precise control over brightness and darkness levels while preventing oscillation through controlled sequential exposure rather than continuous adjustment.
Solution Approach 2:
The patent performs preliminary calculations of exposure parameters and pre-determines exposure sequences before actual imaging. By pre-calculating the optimal exposure times and sequences based on scene analysis, the system avoids oscillation during execution and maintains brightness accuracy without requiring complex real-time adjustments.
2Measurement precision
If multiple exposures are performed for HDR imaging, then brightness and darkness accuracy improves, but exposure control complexity increases
Solution Approach 1:
The patent implements feedback mechanisms that continuously monitor exposure results and adjust subsequent exposure parameters accordingly. By analyzing the output of each exposure step and using this information to refine future exposures, the system maintains high brightness and darkness accuracy while managing control complexity through automated adaptive adjustment.
Solution Approach 2:
The patent dynamically changes exposure parameters such as exposure time, aperture, and ISO during the multi-exposure process. By systematically varying these parameters across different exposure steps and using the changed parameters to optimize each phase, the system achieves high imaging accuracy without requiring overly complex control structures.
3Measurement precision
If automatic exposure is triggered frequently, then brightness accuracy improves, but oscillation and instability increase
Solution Approach 1:
The patent employs periodic exposure cycles with predetermined intervals and patterns rather than continuous or random triggering. By organizing automatic exposure in structured periodic cycles, the system maintains brightness accuracy through regular sampling while avoiding the oscillation and instability caused by frequent or erratic triggering.
Solution Approach 2:
The patent incorporates buffer zones and threshold margins in the automatic exposure triggering mechanism. By setting appropriate thresholds and buffer periods between exposure events, the system prevents overly frequent triggering that would cause oscillation, while still maintaining sufficient brightness accuracy through adequately spaced exposure cycles.
Data Source
AI summary
Embodiments are a high-dynamic-range (HDR) image automatic exposure method and an unmanned aerial vehicle (UAV). The HDR image automatic exposure method is applicable to a UAV and includes: obtaining statistical information and a window weight of automatic exposure; obtaining an evaluation value of the automatic exposure according to the statistical information and the window weight that are obtained; obtaining a compensation amount of the automatic exposure according to the evaluation value and an obtained automatic exposure target value; and triggering the automatic exposure when the compensation amount meets a preset trigger condition. Therefore, problems such as inaccurate brightness and darkness and oscillation during automatic exposure can be finally avoided.