Improvement of Cooperative Localization for Heterogeneous Mobile Robots

Improvement of Cooperative Localization for Heterogeneous Mobile Robots

This research focuses on enhancing cooperative localization for heterogeneous mobile robots composed of a quadcopter and an unmanned ground vehicle. The study employs sensor fusion techniques, particularly the Extended Kalman Filter, to fuse data from various sensors, including GPSs, IMUs, and camer...

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Bibliographic Details
Main Authors:	Efe Oğuzhan Karcı, Ahmet Mustafa Kangal, Sinan Öncü
Format:	Article
Language:	English
Published:	MDPI AG 2025-07-01
Series:	Drones
Subjects:	cooperative localization heterogeneous mobile robots Extended Kalman Filter sensor fusion
Online Access:	https://www.mdpi.com/2504-446X/9/7/507
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