Optical Navigation Feature Cluster Labeling Consistency
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Solution Overview
Problem
In beacon-based optical navigation systems, the inconsistent labeling of feature clusters between frames of image data leads to errors in calculating the relative position of the optical navigation system, as the same beacon cluster may be labeled with different identifiers in different frames.
Innovation Solution
A method and system that label feature clusters in current frames of image data by correlating them with identifiers from previous frames based on distance, ensuring consistent labeling by associating each current feature cluster with the closest or longest-distance corresponding feature cluster from the previous frame.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If each pixel is examined to determine beacon cluster membership and assign label numbers, then beacon clusters can be identified in the image frame, but the label numbers become inconsistent between different frames due to displacement of beacon clusters
Solution Approach 1:
The system performs preliminary actions by establishing a reference frame at the initial time step and storing the positions of beacon clusters in this reference frame. Subsequent frames then reference back to this established coordinate system, ensuring consistent labeling and position calculation across all frames regardless of beacon displacement.
Solution Approach 2:
The system uses feedback mechanisms by continuously tracking the positions of beacon clusters across frames and adjusting the reference frame accordingly. The displacement vectors calculated from frame to frame provide feedback that maintains consistent identification of the same physical beacon clusters even as they move relative to the optical navigation system.
2Ease of operation
If beacon clusters are labeled with numbers to differentiate them, then identification is enabled, but the same beacon cluster may receive different labels in different frames resulting in navigation errors
Solution Approach 1:
The system implements a universal labeling scheme where each beacon cluster is assigned a unique, persistent identifier that remains consistent across all frames. This universal identifier system allows the same physical beacon cluster to be reliably identified and tracked throughout the entire navigation sequence, eliminating frame-specific labeling variations.
Solution Approach 2:
The system creates a virtual copy of the beacon cluster identification system that persists across frames. Instead of reassigning labels based on current frame positions, the system maintains a persistent database of beacon cluster identifiers that are copied and applied to matching physical beacons in subsequent frames, ensuring label consistency.
Data Source
AI summary
A system and method for labeling feature clusters in frames of image data for optical navigation uses distances between feature clusters in a current frame of image data and feature clusters in a previous frame of image data to label the feature clusters in the current frame of image data using identifiers associated with the feature cluster in the previous frame of image data that have been correlated with the feature clusters in the current frame of image data.