Papers

2

Total Citations

40

H-Index

2

About

G. De Ruvo is a researcher whose work centers on high-precision 3D environmental reconstruction, with a particular focus on omnidirectional sensing technologies for infrastructure inspection and autonomous vehicle navigation. His most significant contribution is the development of the patented HiPER 3-D sensor, an omnidirectional system capable of recovering three-dimensional data at exceptionally high profile acquisition rates. As detailed in his most-cited paper (37 citations), this sensor enables highly accurate environmental 3-D reconstruction, a strategic capability for applications ranging from automatic robot motion to infrastructure monitoring. De Ruvo’s earlier work on wide field-of-view 3-D scanners (3 citations) laid the groundwork for this innovation, establishing the geometric parameters necessary for omnidirectional, high-accuracy environmental mapping. His patented sensor technology represents a notable achievement in the field, offering a practical solution for real-time, high-precision spatial data acquisition. For students and researchers in robotics, computer vision, and autonomous systems, De Ruvo’s contributions demonstrate how sensor design directly enables the environmental perception critical for intelligent machine operation.

Research Focus

Key Achievements

2
H-Index
2
Papers
40
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
HiPER 3-D: An Omnidirectional Sensor for High Precision Environmental 3-D Reconstruction
37 citations · 2011
📈 Most Prolific Year: 2011 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Polytechnic University of Bari, Institute of Intelligent Systems for Automation

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago