Adaptive Target Tracking Using Congestion-Based Parameter Switching
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Solution Overview
Problem
Existing tracking technologies struggle to accurately track targets in varying surrounding environments.
Innovation Solution
A tracking processor that calculates a congestion degree based on the number of objects in a specific area around the target, adjusting tracking parameters such as gain values and selection regions based on this congestion degree to enhance tracking accuracy and prevent target swaps.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional tracking processing is used, then the tracking system is simple, but the target cannot be tracked accurately in varying surrounding environments
Solution Approach 1:
The patent applies dynamics by making the tracking processing parameters adaptive and variable based on environmental conditions. The congestion degree calculation dynamically adjusts the tracking processing mode between association-based and estimation-based approaches, allowing the system to optimize tracking accuracy for different surrounding environments rather than using fixed processing methods
Solution Approach 2:
The patent changes key processing parameters based on the calculated congestion degree. When congestion degree is high, the system switches to estimation processing using motion models; when congestion degree is low, it uses association processing based on detection data. This parameter change strategy resolves the contradiction by adapting processing complexity to environmental conditions
2Reliability
If the tracking processing is adjusted for high congestion environments, then target swap risk is reduced, but responsiveness to course changes may deteriorate
Solution Approach 1:
The system dynamically adjusts processing mode based on real-time congestion degree calculations. When congestion degree decreases (indicating clearer environment), the system transitions from estimation processing to association processing, which provides better responsiveness to actual target movements while maintaining reliability when congestion is high
3Speed
If the tracking processing is adjusted for low congestion environments, then responsiveness to course changes is improved, but target swap risk increases
Solution Approach 1:
The system changes processing parameters based on congestion degree thresholds. When congestion degree exceeds the threshold, association processing is used to prevent target swaps; when below the threshold, estimation processing is used to improve responsiveness. This parameter adaptation resolves the contradiction by matching processing strategy to environmental conditions
Data Source
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AI summary
This disclosure aims to accurately track a tracking target regardless of a surrounding environment. A tracking processor 3 may be provided, which includes a tracking processing module 11 configured to perform processing of tracking a tracking target, and a congestion degree calculating submodule 22 configured to calculate a degree of congestion of objects located within an area including an estimated position of the tracking target. The tracking processing module 11 may perform the processing of tracking the tracking target based on a value of the congestion degree calculated by the congestion degree calculating submodule 22.