A novel chiral 1,10-phenanthroline-based fluorescent sensor was designed and synthesized from optical active β-amino acids. It used 1,10-phenanthroline moiety as a fluorescent signaling site and binding site, with optically active β-amino acids as a chiral barrier site. Notably, the optically active β-amino acids were obtained by a Lewis base catalyzed hydrosilylation of β-enamino esters accord...

This paper outlines our current progress in active sensor control. We consider the problem of controlling a nonlinear observation system observing data implicitly related to parameters of interest. We show how linear estimation theory can be applied to this problem, and develop the notion of an information map showing the information expected from sensor viewpoints. We discuss the robustness of...

To realize versatile real-time man-machine interactions based on understanding human intention and activities, we develop an active wearable vision sensor. The sensor consists of the detector of person’s viewing lines and two active cameras. First, we establish a method for calibrating the sensor so that it can detect person’s blink points accurately even in a real situation such that the depth...

Foveated image sensors have a variable spatial resolution enabling a significant reduction in image size and data volume. In this work, the requirements for a foveated sensor within an active vision system are analysed. Based on these requirements, the constraints on the resolution mapping function are determined, and a range of Cartesian based mapping schemes investigated. The results demonstr...

Recent progress in energy harvesting technologies made it possible to build sensor networks with rechargeable nodes which target an indefinitely long operation. In these networks, the goal of energy management is to allocate the available energy such that the important performance metrics, such as the number of detected threats, are maximized. As the harvested energy is not sufficient for conti...

Active information fusion is to selectively choose the sensors so that the information gain can compensate the cost spent in information gathering. However, determining the most informative and cost-effective sensors requires an evaluation of all possible sensor combinations, which is computationally intractable, particularly, when information-theoretic criterion is used. This paper presents a ...

Visual sensors provide exclusively uncertain and partial knowledge of a scene. In this article, we present a suitable scene knowledge representation that makes integration and fusion of new, uncertain and partial sensor measures possible. It is based on a mixture of stochastic and set membership models. We consider that, for a large class of applications, an approximated representation is suffi...