Guest Editor(s)
Dr. Nuno Pessanha Santos
Email: nuno.pessanha.santos@tecnico.ulisboa.pt
Affiliation: 1. Portuguese Military Research Center (CINAMIL), Portuguese Military Academy (Academia Militar), Lisbon, Portugal
2. Institute for Systems and Robotics (ISR), Instituto Superior Técnico, Lisbon, Portugal
3. Portuguese Navy Research Center (CINAV), Portuguese Military Academy (Escola Naval), Almada, Portugal
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Research Interests: autonomous systems, unmanned aerial vehicles, unmanned surface vehicles, unmanned underwater vehicles, computer vision, visual localization, pose estimation, georeferencing, image matching, sensor fusion, artificial intelligence, deep learning, robotic perception, environmental monitoring, wildfire monitoring, search and rescue, surveillance and inspection, multi-robot systems, autonomous navigation, digital twins
Summary
Autonomous aerial, surface, and underwater systems are increasingly being adopted in environmental monitoring, infrastructure inspection, maritime surveillance, disaster response, search and rescue, agriculture, aquaculture, defense, and scientific exploration. Artificial intelligence and computer vision play a fundamental role in extending the operational capabilities of these systems by enabling the automatic analysis of images, video, sonar data, and other sensing modalities. Nevertheless, their deployment in real-world scenarios remains challenging due to adverse weather, smoke, reflections, underwater turbidity, changing illumination, dynamic environments, communication constraints, and limited onboard computational resources.
This Special Issue aims to present recent advances in artificial intelligence and computer vision applications for autonomous aerial, surface, and underwater systems. It welcomes original research and review articles addressing innovative computational methods, integrated systems, datasets, and real-world applications involving Unmanned Aerial Vehicles (UAVs), Unmanned Surface Vehicles (USVs), Unmanned Underwater Vehicles (UUVs), and heterogeneous autonomous platforms.
Topics of interest include environmental and maritime monitoring, infrastructure inspection, disaster management, search and rescue, object detection and tracking, image and sonar analysis, mapping and georeferencing, multi-sensor data fusion, cooperative autonomous systems, digital twins, synthetic data generation, domain adaptation, edge artificial intelligence, real-time image processing, and trustworthy autonomous operation. Contributions supported by experimental evaluation, field deployments, or realistic simulation environments are particularly encouraged.
Keywords
artificial intelligence, computer vision, autonomous systems, unmanned aerial vehicles, unmanned surface vehicles, unmanned underwater vehicles, image processing, multi-sensor data fusion, environmental monitoring, maritime applications
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