How can developers manage false positives when performing plane detection in cluttered physical spaces?

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How can developers manage false positives when performing plane detection in cluttered physical spaces?

Asked on Nov 08, 2025

Answer

Managing false positives in plane detection within cluttered physical spaces requires careful tuning of scene understanding algorithms and leveraging advanced features of XR frameworks like AR Foundation or OpenXR. Developers can optimize plane detection by adjusting parameters and filtering out noise through spatial mapping techniques.

Example Concept: Plane detection algorithms often rely on spatial mapping data to identify flat surfaces. In cluttered environments, false positives can be reduced by increasing the confidence threshold for plane detection, using temporal filtering to confirm persistent planes over time, and excluding small or irregularly shaped planes that are less likely to be useful. Additionally, developers can employ machine learning models trained to distinguish between actual planes and clutter-induced artifacts.

Additional Comment:

Use AR Foundation's Plane Detection subsystem to adjust detection parameters such as minimum plane size.
Implement temporal filtering to verify the consistency of detected planes over multiple frames.
Consider using machine learning models to improve the accuracy of plane detection in complex environments.
Regularly test in various real-world scenarios to fine-tune detection settings and reduce false positives.

✅ Answered with VR/AR Development best practices.

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