Guest Editors
Assist. Prof. Inam Ullah
Email: inam@gachon.ac.kr
Affiliation: Department of Computer Engineering, Gachon University, Seongnam 13120, Republic of Korea
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Research Interests: Artificial Intelligence (AI), Internet of Things (IoT), Robotics, Intelligent Robots, Internet of Vehicles (IoV), Autonomous Vehicles, UAVs, Drones, Intelligent Transportation Systems (ITS), Smart City, Wireless Sensor Networks (WSNs), Underwater Wireless Sensor Networks, Network Security, IoT Security, Data Privacy, Sensing & Monitoring, Computer Vision, Image Processing, Signal & Systems
Dr. Hazrat Bilal
Email: hbilal@mail.ustc.edu.cn
Affiliation: School of Information Science and Technology, University of Science and Technology of China, Hefei 230026, China
Homepage:
Research Interests: Robotics, Artificial Intelligence, Autonomous Vehicles, IoRT, UAVs, etc
Summary
Unmanned Aerial Vehicles (UAVs) are at the forefront of modern technological innovations, with applications ranging from surveillance and agriculture to environmental monitoring and logistics. As UAVs become increasingly autonomous, the integration of advanced AI techniques is crucial for enhancing their capabilities. Generative AI, with its ability to create adaptive models and solve complex problems, is emerging as a game-changer in autonomous navigation and decision-making for UAV systems. The importance of this research lies in the potential of Generative AI to significantly improve the autonomy, adaptability, and efficiency of UAVs in dynamic environments, where traditional algorithms often struggle.
This special issue aims to explore the convergence of Generative AI and UAV technology, focusing on how generative models can be applied to improve UAV performance in real-time decision-making and autonomous navigation. The issue will highlight both the theoretical advancements in Generative AI and the practical implications of its integration into UAV systems. It will also address the challenges of real-time computation, data processing, and safety in autonomous UAV operations, particularly in environments with high uncertainty and dynamic changes.
Suggested Themes:
· Generative AI for UAV Path Planning and Navigation Optimization
· Autonomous Mission Planning and Decision Making in UAV Systems
· AI-Based Obstacle Detection and Collision Avoidance Algorithms
· Generative Models for UAV Behavior Prediction and Adaptation
· Real-time Data Processing and AI Techniques for UAVs
· Generative AI for UAV Swarm Systems and Cooperative Autonomy
· Ethical Considerations and Safety in AI-Driven UAV Operations
· AI-Powered UAVs in Dynamic Environments: Challenges and Opportunities
Keywords
Unmanned Aerial Vehicles (UAVs), Generative AI, Autonomous Navigation, Path Planning, Decision Making, Machine Learning, Reinforcement Learning, AI-Driven UAV Systems, Obstacle Avoidance, Mission Planning, UAV Autonomy, Generative Adversarial Networks (GANs), Environmental Adaptation, UAV Swarm Systems, Real-time Data Processing
Published Papers
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