Publications
Technical papers closer to books than a blog — architecture, distributed systems, and applied AI.
Patents & Publications
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AGENT OPERATING SYSTEM USING MODEL-FACING TELESCOPES (aka: H-STAT)
Patent Pending — US App. No. 64/135,860
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SYSTEMS AND METHODS FOR RISK-AWARE CONTROL AND PARALLELIZED EXECUTION OF HUMAN-GOVERNED ARTIFICIAL INTELLIGENCE AGENTS
Patent Pending — US App. No. 63/973,425
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RISK-AWARE RUNTIME CONTROL OF ENGINEERED SYSTEMS USING EXECUTABLE RISK ARTIFACTS AND EVIDENCE BINDING
Patent Pending — US App. No. 63/972,715
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SYSTEM AND METHOD FOR AUTONOMOUS SOFTWARE ENGINEERING
Patent
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Low-Cost 3D Scanning Systems for Cultural Heritage Documentation
Show publication
Abstract
Purpose – Digital documentation techniques of tunneling excavations at archaeological sites are becoming more common. These methods, such as photogrammetry and LiDAR (Light Detection And Ranging), are able to create precise 3-dimensional models of excavations to complement traditional forms of documentation with millimeter to centimeter accuracy. However, these techniques require either expensive pieces of equipment, or a long processing time that can be prohibitive during short field seasons in remote areas. This article aims to determine the effectiveness of various low-cost sensors and real-time algorithms to create digital scans of archaeological excavations.
Design/methodology/approach – We used a class of algorithms called SLAM (Simultaneous Localization And Mapping) along with depth-sensing cameras. While these algorithms have largely improved over recent years, the accuracy of the results still depends on the scanning conditions. We have designed a scanning device prototype and collected 3D data at a Maya archaeological site and in a system of natural caves by using multiple combinations of sensors and algorithms. This article presents an analysis of these techniques by comparing the resultant 3D models to LiDAR scans of the same areas.
Findings – While not as accurate as commercial LiDAR systems, the prototype presented, employing a time-of-flight depth sensor and using a feature-based SLAM algorithm is a rapid and effective way to document archaeological contexts at a fraction of the cost.
Practical implications – The proposed system is easy to deploy, provides real-time results, and would be particularly useful in salvage operations as well as in high-risk areas where cultural heritage is threatened.
Originality/value – This article compares many different low-cost scanning solutions for underground excavations, along with presenting a prototype that can be easily replicated for documentation purposes.