Special Issue for Unmanned Systems
Fuzzy Fused Hierarchical Deep Neural Network for Unmanned Aerial Vehicles
Deep learning has recently attracted much attention due to its excellent performance in processing audio, image, and video data. However, few studies are devoted to the field of automatic modulation classification. It is one of the most well-known research topics in communication signal recognition and remains challenging for traditional methods due to complex disturbance from other sources and concepts of fuzzy learning into deep learning to overcome the shortcomings of fixed representation. Fuzzy system is a hierarchical deep neural network that derives information from both fuzzy and neural representations.
With an appropriate dynamic motion planning algorithm, UAVs would be able to maneuver in any unknown environment towards a target in real time. The fuzzy inference system takes information in real time about obstacles and target location and outputs a change in heading angle and speed. Based on the above observation we proposed a special issue in Unmanned Systems.
Potential topics included (but not limited to) in this special issue are as follows:
- Fuzzy logic for analysis, design and implementation of an autopilot for unmanned aircraft
- Fuzzy controller for small size unmanned aerial vehicles
- Fuzzy logic control for attitude estimation of UAVs
- Vision Based Fuzzy Control Approaches for Unmanned Aerial Vehicles
- Artificial intelligence and data mining based strategies from UAVs
- Fuzzy based deep convolutional neural networks for vehicle detection from high-resolution aerial images
- Adaptive neuro-fuzzy inference system for unmanned air vehicles
- Fuzzy logic for stabilization system of UAVs
- Wireless vision-based fuzzy controllers for moving object tracking
Deadline for Submission: December 30, 2021
Publication of the special issue: October 1, 2022
Interested authors should submit their manuscripts for possible inclusion as a special issue paper through the journal online submission system at www.editorialmanager.com/us/. Please choose the option for the corresponding special issue when uploading your manuscript.
Guest Editors
Dr. Anand Paul
Kyungpook National University
Dr. Balas Valentina E
Aurel Vlaicu University of Arad
Dr. Danilo Pelusi
University of Teramo
Unmanned Systems aims to cover all subjects related to the development of automatic machine systems, which include advanced technologies in unmanned hardware platforms (aerial, ground, underwater and unconventional platforms), unmanned software systems, modeling and control, communications systems, computer vision systems, energy systems, sensing and information processing, navigation and motion planning, computing, information fusion, multi-agent systems, mission management, machine intelligence, artificial intelligence, and innovative application case studies. More information on Unmanned Systems can be found at www.worldscientific.com/us/.
