Detecting and recognizing underwater objects is a topic of great interest in many maritime applications, such as harbor security, safe navigation of autonomous underwater vehicles, and safety of the littoral zone [1]. Fluorescence Light Detection And Ranging (LIDAR) systems play an important role in this context. In this work, a framework for predicting the performance of underwater object recognition by means of fluorescence LDAR is proposed with the aim of assisting the user during operations such as mission planning and LIDAR system design. Experimental results obtained within a Monte Carlo simulation framework reveal the potential of the proposed framework.
A FRAMEWORK FOR PREDICTING UNDERWATER OBJECT RECOGNITION PERFORMANCE WITH FLUORESCENCE LIDAR
Matteoli S;
2017-01-01
Abstract
Detecting and recognizing underwater objects is a topic of great interest in many maritime applications, such as harbor security, safe navigation of autonomous underwater vehicles, and safety of the littoral zone [1]. Fluorescence Light Detection And Ranging (LIDAR) systems play an important role in this context. In this work, a framework for predicting the performance of underwater object recognition by means of fluorescence LDAR is proposed with the aim of assisting the user during operations such as mission planning and LIDAR system design. Experimental results obtained within a Monte Carlo simulation framework reveal the potential of the proposed framework.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
