Water Surface Target Tracking With Occlusion-Aware Mode Switching
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Solution Overview
Problem
Existing water surface target tracking systems lack environmental adaptability and fail to quickly reacquire targets obscured by external objects or adverse weather conditions, leading to tracking deviations.
Innovation Solution
An adaptive tracking system that includes an information acquisition module, mode selection module, tracking module, prediction module, and wake-up module to dynamically adjust tracking modes based on environmental factors, using sensors to monitor visibility, wind, and wave scales, and switch between tracking and prediction modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the tracker continues to track according to predicted position when the target is occluded, then the tracking can be maintained, but the tracking accuracy deteriorates due to amplified errors from adverse environmental factors
Solution Approach 1:
The system dynamically switches between tracking mode and prediction waiting mode based on real-time environmental conditions and target visibility. When occlusion or adverse weather is detected, the system transitions to prediction waiting mode to pause active tracking, avoiding the propagation of accumulated errors. This dynamic adaptation resolves the contradiction by making tracking continuity reliable only when conditions permit, rather than forcing continuous tracking that would degrade accuracy.
Solution Approach 2:
The system continuously monitors environmental factors (wind scale, wave scale) and target visibility to provide feedback on tracking quality. When degradation is detected, the feedback mechanism triggers a mode switch to prediction waiting, allowing the system to pause tracking and avoid compounding errors. This feedback loop enables the system to maintain accuracy by stopping tracking when conditions no longer support reliable measurement.
2Loss of time
If the system uses prediction model to predict target position for reacquisition, then the target can be reacquired after occlusion, but the predicted position deviates from actual position due to environmental factors
Solution Approach 1:
The system performs preliminary prediction of target position before actual reacquisition is needed. By calculating predicted positions in advance and preparing the tracker in prediction waiting mode, the system reduces the time required to reacquire the target after occlusion. This preliminary action addresses the time loss issue without immediately compromising accuracy, as the prediction serves as a guide rather than a definitive command.
Solution Approach 2:
The system changes the operational parameters of the tracker based on environmental conditions. In prediction waiting mode, the tracker uses predicted positions rather than real-time measured positions, effectively changing the input parameter from actual target position to predicted position. This parameter change allows the system to maintain operational continuity during occlusion while accepting reduced precision, balancing time loss with measurement accuracy.
3Measurement precision
If the system switches to prediction waiting mode when target is occluded, then tracking accuracy is maintained, but the response time to reacquire target increases
Solution Approach 1:
The system performs preliminary prediction of target position and prepares the tracker in advance before actual reacquisition is needed. By calculating predicted positions and positioning the tracker in prediction waiting mode proactively, the system reduces the reactive delay when occlusion ends. This preliminary preparation balances the trade-off by minimizing the time penalty while maintaining accuracy during the prediction waiting period.
Solution Approach 2:
The system maintains continuous useful action by keeping the tracker in prediction waiting mode rather than completely stopping. The tracker continues to process predicted positions and remain ready for reacquisition, ensuring that when the target becomes visible again, the system can quickly resume tracking. This continuity approach reduces reacquisition delay while maintaining the accuracy benefits of prediction-based operation during occlusion.
Data Source
AI summary
An adaptive tracking system and tracking method for a water surface target are provided. The tracking system includes an information acquisition module, a mode selection module for controlling a tracker to enter a tracking mode or a prediction waiting mode, a tracking module for controlling the tracker to track the water surface target, a prediction module for generating a predicted position of the water surface target, and a wake-up module for waking up the tracking module when the water surface target appears at the predicted position. The mode selection unit is introduced, which controls the tracker to enter the prediction waiting mode when the water surface target is occluded or greatly affected by an adverse environmental factor. The design avoids the tracker moving away from the water surface target in a wrong direction, thereby avoiding adverse effects on subsequent tracking of the water surface target.