# CAREER: Enhancing Measurements of Dynamic Features in Large-Scale Structures via Three-Dimensional Aerial Stereovision

> **NSF 01002526DB NSF RESEARCH & RELATED ACTIVIT** · University of Massachusetts Lowell (MA) · $607,855

## Abstract

This Faculty Early Career Development Program (CAREER) grant supports research aimed at transforming the monitoring of critical infrastructure, such as wind turbines and bridges, by developing new methods to measure three-dimensional structural vibrations using aerial stereovision techniques. This approach seeks to overcome the limitations of traditional structural health monitoring methods, which typically require sensors to be directly placed on the targeted structure and rely on stationary camera setups. By utilizing drone technology paired with advanced computer vision and image processing techniques, this research intends to enable detailed and remote assessments of the dynamic response of large-scale structures. The resulting metrological framework intends to allow for precise quantification of displacement, deformation, and vibrations, enabling early identification of potential damage and extending the operational life of critical infrastructure. The grant also supports educational goals by offering hands-on training, mentorship, and workshops for undergraduate students and individuals seeking to transition into engineering-related careers. These initiatives are designed to create opportunities for all interested Americans by developing practical skills in advanced sensing technologies and structural health monitoring in support of workforce readiness and career advancement.

This research aims to advance and validate a framework for drone-based stereovision measurem

## Key facts

- **NSF award ID:** 2440348
- **Awardee organization:** University of Massachusetts Lowell (MA)
- **SAM.gov UEI:** LTNVSTJ3R6D5
- **PI:** Alessandro Sabato
- **Primary program:** 01002526DB NSF RESEARCH & RELATED ACTIVIT
- **All programs:** Dynamical systems, STRUCTURAL SYSTEMS, CAREER-Faculty Erly Career Dev, COMPUTER VISION, Complex Systems
- **Estimated total:** $607,855
- **Funds obligated:** $607,855
- **Transaction type:** Standard Grant
- **Period:** 06/01/2025 → 05/31/2030

## Primary source

NSF Award Search: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2440348

## Citation

> US National Science Foundation, Award 2440348, CAREER: Enhancing Measurements of Dynamic Features in Large-Scale Structures via Three-Dimensional Aerial Stereovision. Retrieved via AI Analytics 2026-06-07 from https://api.ai-analytics.org/grant/nsf/2440348. Licensed CC0.

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