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My reply to your post on the ftc docs issue still holds :) |
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To address this, you can consider the following approaches: 1. Use Different IDs for Each TagIf possible, assign different IDs to each AprilTag. This would allow the detection system to track each tag independently without confusion. 2. Track Tags by Their PositionIf you must use tags with the same ID, you can try to differentiate the tags by their positions relative to each other. For example, you can filter the detection results based on their spatial position (e.g., the distance between the two tags or their relative orientation). This would require tracking the tags' coordinates over time and determining which one is which based on their positions. 3. Filter Based on Movement or StabilizationIf the tags are moving in different patterns, you could try stabilizing the measurements by filtering out sudden changes or applying a moving average filter to smooth out the readings. This could help mitigate the issue of rapidly changing values like yaw or distance. 4. Use Multi-View DetectionIf you can place cameras in different positions or use multi-camera systems, you may be able to detect the same tag from multiple angles and differentiate them based on where they are in the frame. Let me know which approach fits your scenario best. |
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I guess my question is "why do you need to detect two tags with the same ID". It's like having two houses on a street with the same house number. It kinda defeats the purpose of having house numbers. If we knew the reason, perhaps we could recommend an alternative solution. |
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Hi
I want to detect two Apriltag with same id
But there is a problem, the program can't distinguish the two tags. The numbers constantly keep changing and replacing each other. For example Yaw or distance are constantly keep changing between 6 to 14
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