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The document presents a localization feature extraction method for obscured drogue in autonomous aerial refueling, addressing challenges such as background interference and occlusion. It introduces an adaptive mean filter and an outlier elimination algorithm to enhance accuracy, achieving an average error of less than 0.5% without occlusion and less than 2% with 50% occlusion. Experimental results demonstrate a 49.3% improvement in accuracy compared to classical algorithms, with an average processing time o

Author

274193829

Language

EN