May 1, 2024 · We propose a deep learning-based algorithm named PnP-UGCSuperGlue. This algorithm employs a convolutional neural network (CNN) that is enhanced with a graph ...
May 1, 2024 · The PnP-UGCSuperGlue framework initiates with the semantic feature extraction from both the real-time drone image and the geo-referenced image.
PnP-UGCSuperGlue: deep learning drone image matching algorithm for visual localization ... Authors: Ya Guo; Fan Yang; Yazhong Si; Yipu Yang; Wei Zhang; Xiaolong ...
We propose a deep learning-based algorithm named PnP-UGCSuperGlue. This algorithm employs a convolutional neural network (CNN) that is enhanced.
PnP-UGCSuperGlue: deep learning drone image matching algorithm for visual localization. 2024, Journal of Supercomputing. View full text. © 2023 Elsevier B.V. ...
Publications that cite this publication. PnP-UGCSuperGlue: deep learning drone image matching algorithm for visual localization. Ya Guo, Fan Yang, Yazhong Si ...
AVL determines the position of a UAV by comparing its current camera view with previously collected and orthorectified data typically obtained from satellite ...
Oct 12, 2023 · Remote sensing image matching techniques are employed to achieve accurate visual geo-localization of UAVs by comparing images captured by the ...
Missing: PnP- UGCSuperGlue:
The method combines relative localization in visual odometry with absolute localization based on satellite image matching using the deep Lukas-Kanade (DLK).
This paper proposes an image matching method based on image scale-invariant features for UAV pose guidance during hovering operation.