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Visual feedback for aircraft control requires robust automatic selection of initial marker location for marker tracking. We propose a robust machine learning method and a novel inverse formulation of DBSCAN for unsupervised clustering and detection of markers.
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This page is a summary of: Adaptive Real-Time Clustering Method for Dynamic Visual Tracking of Very Flexible Wings, Journal of Aerospace Information Systems, February 2021, American Institute of Aeronautics and Astronautics (AIAA),
DOI: 10.2514/1.i010860.
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