N. Mirizzi
Papers
1
Total Citations
8
H-Index
1
About
N. Mirizzi is a researcher specializing in underwater robotics and computer vision, with a particular focus on sonar-based perception systems for autonomous submersible vehicles. Their key research areas include underwater video coding, sonar image processing, and real-time data transmission for untethered robotic platforms. Mirizzi’s most notable contribution is the development of a novel framework for underwater forward-scan sonar video compression, which leverages background modeling and synthesis to enable efficient real-time transmission in low-visibility environments. This work, published in 2018 and garnering 8 citations, addresses the critical challenge of replacing traditional navigation cameras with 2-D forward-scan sonar devices—a necessity when submersible robots operate in turbid or dark waters. By characterizing sonar images through object highlights and cast shadows, Mirizzi’s approach reduces bandwidth demands while preserving essential spatial information for remote piloting and autonomous navigation. This innovation has practical implications for deep-sea exploration, underwater infrastructure inspection, and search-and-rescue missions. Mirizzi’s research bridges the gap between signal processing and field robotics, offering a scalable solution for real-time sonar data transmission in bandwidth-constrained underwater communication channels.
Research Focus
Key Achievements
Top Papers
- 1