Francesco Darugna

Papers

1

Total Citations

38

H-Index

1

About

Francesco Darugna is a leading researcher in high-precision GNSS positioning, with a particular focus on enabling centimeter-level accuracy using mass-market devices. His key research areas include smartphone-based GNSS positioning, antenna calibration, and multi-frequency GNSS signal processing. Darugna’s major contribution is demonstrating that robot-based antenna calibration can significantly improve dual-frequency smartphone positioning, overcoming the inherent limitations of consumer-grade antennas. His landmark 2020 study on the Huawei Mate20X, cited 38 times, showed that careful calibration reduces systematic errors and unlocks the potential of low-cost GNSS chipsets for geodetic-grade applications. This work has been pivotal in bridging the gap between professional surveying equipment and ubiquitous mobile devices, opening new possibilities for crowdsourced mapping, autonomous navigation, and precision agriculture. Darugna’s research has helped establish that with proper calibration, smartphones can achieve sub-meter accuracy, challenging the assumption that high-precision positioning requires expensive hardware. His ongoing efforts continue to refine calibration techniques and expand the use of GNSS raw measurements in consumer electronics, making him a key figure in the democratization of high-accuracy positioning technology.

Research Focus

Key Achievements

1
H-Index
1
Papers
38
Total Citations
38
Avg Citations/Paper
🏆 Most Cited Paper
Impact of robot antenna calibration on dual-frequency smartphone-based high-accuracy positioning: a case study using the Huawei Mate20X
38 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 5

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago