David Monetti

Papers

2

Total Citations

3

H-Index

1

About

David Monetti is a leading researcher in advanced geodetic sensing and unmanned aerial system (UAS) navigation, with a primary focus on high-precision trajectory estimation in GNSS-denied environments. His major contributions center on the innovative use of robotic total stations (RTS) within decentralized multi-sensor systems to achieve robust, centimeter-level UAS positioning. Monetti’s work bridges the gap between traditional surveying instruments and modern autonomous flight, offering a critical alternative when satellite signals are unavailable or unreliable. His 2025 thematic review on UAS trajectory estimation using RTS-based systems (2 citations) has quickly become a foundational reference for researchers exploring sensor fusion in challenging operational settings. Complementing this, his numerical simulation and sensitivity analysis (1 citation) provides rigorous modeling of system performance, identifying key parameters that influence accuracy and reliability. These contributions are particularly notable for their practical implications in infrastructure inspection, precision agriculture, and search-and-rescue missions. Monetti’s research is shaping the next generation of autonomous navigation, demonstrating how established geodetic tools can be reimagined for cutting-edge aerial robotics.

Research Focus

Key Achievements

1
H-Index
2
Papers
3
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
A Review on UAS Trajectory Estimation Using Decentralized Multi-Sensor Systems Based on Robotic Total Stations
2 citations · 2025
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago