Remote Weapon Camera Vibration Compensation
Solution Overview
Problem
Remote-controlled weapon systems face challenges in accurately tracking and engaging moving targets in open field or rough ground environments due to camera vibration and posture changes, which can lead to loss of target lock and reduced tracking robustness.
Innovation Solution
The system employs a processor-based solution with a first posture calculator, a second posture calculator, and an ROI controller to calculate pixel movement amounts and adjust camera posture to maintain target lock, using sensors and image registration to compensate for camera vibration and changes in target location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the weapon system is mounted on a moving platform in rough terrain, then the system gains mobility and operational flexibility, but camera vibration and posture changes cause target tracking instability
Solution Approach 1:
The system performs preliminary actions by predicting the target's future position based on current motion state before the target actually moves to that position. The processor calculates predicted target coordinates in advance, allowing the weapon system to pre-adjust aiming direction, thereby compensating for platform vibration and maintaining tracking stability during mobile operations
Solution Approach 2:
The system implements feedback by continuously comparing the actual target position with the predicted target position, and using this difference to adjust the weapon system's aiming direction. The processor receives real-time target position information, calculates position deviations, and generates correction commands to maintain accurate tracking despite platform movement and vibration
2Measurement precision
If the system uses image registration to calculate pixel movement amounts, then tracking precision is improved, but calculation complexity and processing time increase
Solution Approach 1:
The system extracts only the essential information needed for tracking by focusing image registration on specific key features or regions of interest rather than processing the entire image. The processor identifies and tracks only the critical target features, reducing calculation complexity while maintaining positioning accuracy
Solution Approach 2:
The system changes processing parameters by adjusting the resolution or detail level of image registration based on operational conditions. When high precision is needed, full-resolution registration is performed; when speed is prioritized, lower-resolution or simplified registration is used, balancing accuracy and computational load
Data Source
AI summary
A remote-controlled weapon system, mounted in a moving platform, includes at least one processor that implements: a first posture calculator that calculates a first pixel movement amount corresponding to a posture change amount of a camera during a time interval between a first image and a second image, received after the first image; a second posture calculator that calculates a second pixel movement amount corresponding to a control command for changing a posture of the camera to match a moving target, detected from the second image, with an aiming point; and a region of interest (ROI) controller that calculates a third pixel movement amount corresponding to vibration of the camera based on the first pixel movement amount and the second pixel movement amount, and estimate a location of an ROI that is to be set on the moving target of the second image, based on the third pixel movement amount.