Sensing Performance

Sensing performance research focuses on optimizing the efficiency and accuracy of data acquisition and processing from various sensor networks, aiming to maximize information gain while minimizing resource consumption. Current efforts concentrate on developing adaptive AI-centric systems, employing techniques like convolutional neural networks and reinforcement learning to improve target tracking, data fusion, and resource allocation in diverse applications, including multi-robot systems and environmental monitoring. These advancements are crucial for enhancing the capabilities of autonomous systems, improving environmental monitoring, and enabling efficient spectrum sharing in next-generation communication networks.