Localization of Unmanned Aircraft Systems Using Bio-Inspired Algorithms: An Experimental Study

被引:0
|
作者
Araujo Neto, Wolmar [1 ]
Villa, Daniel Khede Dourado [1 ]
Sarcinelli-Filho, Mario [1 ]
机构
[1] Univ Fed Espirito Santo, Grad Program Elect Engn, 514 Ave Fernando Ferrari, Vitoria, ES, Brazil
关键词
D O I
10.1109/ICUAS60882.2024.10557080
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article describes the integrated application of the bio-inspired optimization algorithm LBBA and Digital Compass to enhance the localization of drones in autonomous missions. The work presents a approach covering Airworthiness, Localization and Sensor Fusion. The LBBA algorithm, using data from a LIDAR sensor and information from a Digital Compass, shows significant advances in the safety and effectiveness of autonomous operations on mobile bases. Now, the proposal is to use this advantage to assist in locating drones on a known map. This study contributes to the continuous evolution of autonomous drone technology, promoting a more effective and secure integration of these systems in laboratory testing environments. The results suggest that the combination of 2D localization from a ground robot with interaction with an aerial one offers a robust and reliable solution for the precise localization of drones, paving the way for future innovations in the field of unmanned aerial vehicles.
引用
收藏
页码:1125 / 1131
页数:7
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