Multi-degree-of-freedom unmanned aerial vehicle control combining a hybrid brain-computer interface and visual obstacle avoidance

The difficulty of unmanned aerial vehicle (UAV) control recently lies in multidirectional movement in 3-dimensional space, improving control accuracy and manipulation safety. To address these challenges, a UAV control system that incorporates a hybrid brain-computer interface (hBCI), gyroscope and v...

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Veröffentlicht in:	Engineering applications of artificial intelligence Jg. 133; S. 108294
Hauptverfasser:	Xie, Shanghong, Gao, Wei, Zeng, Zhen, Wu, Qingfu, Huang, Qian, Ban, Nianming, Wu, Qian, Pan, Jiahui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.07.2024
Schlagworte:	Hybrid brain-computer interface Steady-state visual evoked potential Unmanned aerial vehicle Visual obstacle avoidance Steady-state visual evoked potential Unmanned aerial vehicle Hybrid brain-computer interface Visual obstacle avoidance
ISSN:	0952-1976, 1873-6769
Online-Zugang:	Volltext
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