Positioning and Sensing Technologies for Ubiquitous Mobile Intelligence

Dear Colleagues,

Target positioning and sensing technologies are crucial in fields such as aerospace, autonomous driving, robotics, and environmental perception, where accurate, real-time detection and positioning of objects are vital.

Recent advancements in positioning and sensing technologies—from high-precision devices (e.g., LiDAR, 5G/6G communication systems, intelligent reflecting surfaces) to the rich data they generate (e.g., high-resolution images, point clouds, wireless channel data)—along with enhanced computational capabilities (e.g., IoT-enabled edge computing, cloud-based AI), have resulted in the creation of massive and complex datasets.

Breakthroughs in AI, including advanced architectures (e.g., CNNs, Transformers), learning techniques (e.g., transfer learning, reinforcement learning), and self-supervised methods (e.g., masked prediction, contrastive learning), are critical for processing this data effectively.

This Special Issue therefore aims to bring together original research and review articles on novel approaches, innovative solutions, and new challenges in the integration of positioning and sensing technologies with AI for positioning and sensing architectures.

Potential topics include, but are not limited to:

• Multi-agent Interactive positioning and/or sensing;
• Deep learning models for positioning, sensing, and recognition;
• Environmental perception in autonomous systems;
• Meta-learning-related techniques for positioning and/or sensing;
• Transfer learning for adaptation in positioning and/or sensing systems;
• Reinforcement learning for dynamic environments in positioning and/or sensing;
• Intelligent reflecting surfaces for target positioning and/or sensing;
• IoT and edge computing for real-time positioning and/or sensing;
• Advanced 5G/6G technologies in positioning and/or sensing;
• Fusion-based positioning and/or sensing;
• Sensor in mobile phones;
• GNSS positioning.

Prof. Dr. Xiansheng Guo
Dr. Lin Li
Dr. Zixuan Huang
Dr. Gordon Boateng
Guest Editors

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