Precise Positioning Method of Unmanned Aerial Vehicle in Enclosed Environments by Integrating Multi-Sensor Information: Application of a Kalman Filter and Particle Filter Fusion Model Based on Dynamic Environment Adaptation

This study addresses the challenge of the precise positioning of Unmanned Aerial Vehicles (UAVs) in enclosed environments, particularly the inadequacy of traditional positioning methods in complex and dynamic settings. The study proposes a fusion model, Incremental Kalman Filter-Particle Filter (IKF...

Descripció completa

Dades bibliogràfiques

Autors principals:	Yangmei Zhang, Yang Bi, Li Wang, Junfang Li, Zhouzhou Liu
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2025-01-01
Col·lecció:	IEEE Access
Matèries:	Dynamic environment Kalman filter multi-sensor fusion particle filter precise UAV positioning
Accés en línia:	https://ieeexplore.ieee.org/document/11282954/
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!