Browsing by Author "Meyer, Florian"

Now showing items 1-6 of 6

    • Cooperative robotic networks for underwater surveillance: an overview 

      Ferri, Gabriele; Munafò, Andrea; Tesei, Alessandra; Braca, Paolo; Meyer, Florian; Pelekanakis, Konstantinos; Petroccia, Roberto; Alves, João; Strode, Christopher; LePage, Kevin D. (CMRE, 2019/06)
      Underwater surveillance has traditionally been carried out by means of surface and undersea manned vessels equipped with advanced sensor systems. This approach is often costly and manpower intensive. Marine robotics is an ...

    • Heterogeneous information fusion for multitarget tracking using the sum-product algorithm 

      Soldi, Giovanni; Gaglione, Domenico; Meyer, Florian; Hlawatsch, Franz; Braca, Paolo; Farina, Alfonso; Win, Moe Z. (CMRE, 2019/06)
      The sum-product algorithm (SPA) was recently shown to provide a scalable methodology for multitarget tracking (MTT) using multiple sensors. Here, we focus on another advantage of the SPA frame-work, namely, its capacity ...

    • Localization of multiple sources using time-difference of arrival measurements 

      Meyer, Florian; Tesei, Alessandra; Zwin, Moe Z. (CMRE, 2019/06)
      This paper addresses the problem of localizing an unknown number of static sources emitting unknown signals from time-difference of arrival (TDOA) measurements. Based on the framework of random finite sets and finite set ...

    • Scalable adaptive multitarget tracking using multiple sensors 

      Meyer, Florian; Braca, Paolo; Hlawatsch, Franz; Micheli, Michele; LePage, Kevin D. (CMRE, 2019/06)
      In networked mobile multitarget tracking systems, parameters such as detection probabilities, clutter rates, and motion model parameters are often unknown and time-varying. Such parameter variability can seriously degrade ...

    • A scalable algorithm for tracking an unknown number of targets using multiple sensors 

      Meyer, Florian; Braca, Paolo; Willett, Peter K.; Hlawatsch, Franz (CMRE, 2019/06)
      We propose an algorithm for tracking an unknown number of targets based on measurements provided by multiple sensors. Our algorithm achieves low computational complexity and excellent scalability by running belief propagation ...

    • Tracking an unknown number of targets using multiple sensors: a belief propagation method 

      Meyer, Florian; Braca, Paolo; Willett, Peter K.; Hlawatsch, Franz (CMRE, 2019/06)
      We propose a multisensor method for tracking an unknown number of targets. Low computational complexity and very good scalability in the number of targets, number of sensors, and number of measurements per sensor are ...