UAV Target Detection and Tracking Integrating a Dynamic Brain–Computer Interface

To address the inherent limitations in the robustness of fully autonomous unmanned aerial vehicle (UAV) visual perception and the high cognitive workload associated with manual control, this paper proposes a human-in-the-loop brain–computer interface (BCI) control framework. The system integrates st...

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Bibliografische Detailangaben
Hauptverfasser:	Jun Wang, Zanyang Li, Lirong Yan, Muhammad Imtiaz, Hang Li, Muhammad Usman Shoukat, Jianatihan Jinsihan, Benjun Feng, Yi Yang, Fuwu Yan, Shumo He, Yibo Wu
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2026-03-01
Schriftenreihe:	Drones
Schlagworte:	steady-state visual evoked potential unmanned aerial vehicle dynamic interaction paradigm task-discriminant component analysis object tracking
Online-Zugang:	https://www.mdpi.com/2504-446X/10/3/222
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UAV Target Detection and Tracking Integrating a Dynamic Brain–Computer Interface

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