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Landmark Selection for Lunar Navigation by isadahduli is a document available to read on EtoBox.

This paper presents a deep neural network-based method for selecting navigation landmarks for lunar spacecraft, particularly in highland areas where traditional crater detection is unreliable due to low solar altitudes and heavy shadowing. The method trains a convolutional neural network to identify suitable landmarks under varying lighting conditions and provides a tool for mission planning by predicting landmark detection probabilities. Numerical experiments demonstrate the effectiveness of the proposed l

Author

isadahduli

Language

EN