Autonomous Detection and Control for Intelligent unmanned Air Vehicles
Intelligent unmanned Air Vehicles systems are designed to achieve fully autonomous operation in complex and dynamic environments through the deep integration of artificial intelligence, multi-sensor fusion, and advanced control theories. Their core functionality is built upon two synergistic technological pillars: autonomous detection and autonomous control. Serving as the foundational layer, autonomous detection employs multi-source sensors combined with deep learning algorithms to execute real-time, accurate identification, tracking and diagnostic assessment of environmental targets and system status. Building upon this detected information, autonomous control integrates path planning, decision-making reasoning, and sophisticated control algorithms to facilitate intelligent decision-making, dynamic trajectory optimization, and precise execution. Current research focuses on advancing the intelligent convergence of detection and control to enhance unmanned air vehicles system robustness, real-time performance, and collaborative capacity in uncertain scenarios, although significant challenges persist in areas such as extreme environment adaptation, safety and ethical governance, and computational efficiency. With continued progress in edge computing and next-generation artificial intelligence, intelligent unmanned air vehicles systems are evolving toward more advanced detection and control architectures and are positioned to assume increasingly critical roles across diverse domains, including smart manufacturing, intelligent urban infrastructure, and national defense and security.
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Guest Editors
Dr. Yankai Li, Professor
Xi'an University of Technology, China
E-Mail: liyankai@xaut.edu.cn
Dr. Fangzhou Fu, Associate Professor
Sun Yat-Sen University, China
E-Mail: fufzh@mail.sysu.edu.cn
Dr. Xinyu Zhang, Associate Professor
Xi'an University of Technology, China
E-Mail: zhangxinyu@xaut.edu.cn
Submission Deadline
The deadline for manuscript submissions is 30 September 2026, but we can accommodate extensions on a case-by-case basis. All papers will be published as open access articles upon acceptance. The APC for this journal is $1950 USD.
Submission Instructions
Manuscripts should be prepared according to the guidelines of International Journal of Micro Air Vehicles and submitted through the journal's online submission system. All submitted papers will undergo a rigorous peer-review process.
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