D. Pagliari

Papers

Total Citations

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About

D. Pagliari is a researcher whose work sits at the intersection of photogrammetry, sensor fusion, and geospatial measurement technologies. With expertise spanning unmanned aerial systems (UAS), depth sensing, and low-cost navigation solutions, Pagliari has made meaningful contributions to both environmental monitoring and 3D scene reconstruction. One of their most influential works applies UAS-based photogrammetry to quantify sediment volumes in reservoirs, a critical challenge in modern hydraulic engineering where sediment accumulation threatens dam efficiency and longevity — this study has garnered 29 citations, reflecting its relevance to the hydraulics and remote sensing communities. Pagliari has also advanced the capabilities of consumer-grade depth sensors, notably improving the accuracy of Microsoft's Kinect Fusion algorithm through refined depth camera calibration, earning 28 citations and demonstrating practical impact in robotics, gesture recognition, and 3D modeling. Further broadening their scope, Pagliari explored the integration of Kinect sensors with low-cost GNSS for outdoor navigation, addressing the longstanding limitation of indoor-only depth-sensor applications. Collectively, this body of work highlights a researcher dedicated to making precision spatial measurement more accessible, affordable, and applicable across diverse real-world environments.