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A Two-Stage Residual Extended Kalman Filter using Extreme Gradient Boosting and Kolmogorov–Arnold Networks for terrain-aided Unmanned Aerial Vehicle Localization in Global Navigation Satellite System-denied environments.

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Bibliographic Details
Title: A Two-Stage Residual Extended Kalman Filter using Extreme Gradient Boosting and Kolmogorov–Arnold Networks for terrain-aided Unmanned Aerial Vehicle Localization in Global Navigation Satellite System-denied environments.
Authors: Abdelkader, Mohamed1, Jarraya, Imen1, imenjarraya85@gmail.com, Gabr, Khaled1, Al-Batati, Abdulrahman S.1, AlMusalami, Abdullah1, Alahmed, Fatimah1, Boulila, Wadii1
Source: Engineering Applications of Artificial Intelligence; Jun2026, Vol. 173, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
Description
ISSN:09521976
DOI:10.1016/j.engappai.2026.114430