Gimbal Motion Control for Intent-Aware Shake Compensation
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Solution Overview
Problem
Existing gimbal control systems fail to accurately distinguish between user-intended and unintended camera motions, leading to incorrect elimination of camera shake, which affects image quality.
Innovation Solution
A method and system for controlling a gimbal that detects the motion state of the gimbal or load, determining whether the motion is user-intended by checking rotation angles, angular velocities, or control signals, and adjusts the gimbal's movement accordingly to maintain the load's original posture or follow the user's intended motion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If the gimbal eliminates all camera rotations to reduce shake, then image stability is improved, but user-intended motions are mistakenly eliminated causing the camera to fail reaching expected shooting angles
Solution Approach 1:
The system detects the motion state of the gimbal or load, determines whether motion is user-intended based on rotation angles and angular velocities, and adjusts compensation accordingly. This feedback mechanism allows the system to distinguish between intentional user motions and unintentional shake, eliminating only the latter while preserving the former.
Solution Approach 2:
The system changes the compensation parameters dynamically based on detected motion characteristics. By monitoring rotation angles and angular velocities against thresholds, the system adjusts its compensation behavior to match user intent, transitioning between active compensation and follow-mode operation.
2Ease of operation
If the gimbal does not compensate for camera motion, then user-intended motions are preserved, but unintended shake is not eliminated reducing image quality
Solution Approach 1:
The system continuously monitors motion state parameters (rotation angles, angular velocities) and uses this feedback to determine compensation necessity. This real-time detection and determination mechanism enables dynamic adjustment between compensation and non-compensation modes based on user intent.
Solution Approach 2:
The compensation system transitions from a static on/off approach to a dynamic adaptive system. The gimbal's compensation behavior changes in real-time based on detected motion characteristics, allowing smooth transitions between shake compensation and user-intended motion following.
3Device complexity
If the gimbal uses simple motion detection without threshold comparison, then the system complexity is reduced, but the accuracy in distinguishing user-intended motion from shake is insufficient
Solution Approach 1:
The system uses parameter thresholds (rotation angle threshold, angular velocity threshold) to distinguish between shake and user-intended motion. By comparing detected parameters against predetermined thresholds, the system achieves accurate motion discrimination with relatively simple control logic.
Solution Approach 2:
The system replaces complex mechanical differentiation mechanisms with electronic detection and computational threshold comparison. Sensors detect motion parameters, and a controller compares these against thresholds to determine user intent, substituting mechanical complexity with electronic processing.
Data Source
AI summary
A method for controlling a gimbal includes detecting a motion of the gimbal, determining whether a received control signal indicates that the motion of the gimbal corresponds to a user-intended motion, controlling the gimbal to move along a moving direction of the motion in response to determining that the received control signal indicates the motion of the gimbal corresponds to the user-intended motion, and controlling the gimbal to move along an opposite direction to the moving direction of the motion in response to determining that the received control signal does not indicate the motion of the gimbal corresponds to the user-intended motion.