Stone Arch Bridge Rehabilitation Reality Modeling-Stone Arch Bridge Rehabilitation Reality Modeling Slides

Stone Arch Bridge Rehabilitation Reality Modeling Slides

Pdf Summary

The presentation "Drone Reality Modeling for the Historic Stone Arch Bridge Rehabilitation" by Barritt Lovelace, P.E., covers the use of reality modeling, unmanned aerial systems (UAS), artificial intelligence (AI), and machine learning in infrastructure inspection and rehabilitation projects.<br /><br />Reality modeling involves creating accurate, geospatially correct 3D digital representations (point clouds or meshes) of assets, enabling measurements, annotations, data sharing, collaboration, and communication. Such digital twins provide rich inspection data including photos, videos, and thermal images, captured by advanced UAS hardware capable of autonomous navigation in challenging environments (e.g., GPS-denied areas under bridge decks).<br /><br />The case study focuses on the historic Stone Arch Bridge in Minneapolis—a 2,100-foot-long, 22-span masonry arch bridge built in 1883, now serving pedestrians. The rehabilitation project workflow includes UAS data capture using high-resolution images and ground control points, processing via software tools like Bentley ContextCapture and Pix4D, creation of cloud-based reality models, field inspections, design and construction phases.<br /><br />Field data included 8,720 images, 35 ground control points, and use of drones such as Intel Falcon 8 and Skydio 2 over four days by a team of typically 2-3 members, with a third member handling public safety. Deliverables incorporated annotated reality models viewable via tools such as Bentley with Microsoft Hololens 2.<br /><br />Benefits reported include improved data quality, reduced risks for designers and contractors, enhanced collaboration, and improved safety. The presentation highlights an industry transition toward robotics, AI, and machine learning, emphasizing the evolving qualifications for engineers and inspectors, and the necessity to move beyond traditional methods. The talk stresses that data-driven approaches are transforming project workflows within civil infrastructure rehabilitation.<br /><br />Contact info for the presenter, Barritt Lovelace, Director of UAS, AI, and Reality Modeling, is provided for further engagement.

Keywords

Drone Reality Modeling

Historic Stone Arch Bridge

Unmanned Aerial Systems

Artificial Intelligence

Machine Learning

Infrastructure Inspection

3D Digital Twins

Bentley ContextCapture

Skydio 2 Drone

Civil Infrastructure Rehabilitation