Augmented Reality Enhancing the Inspections of Transportation Infrastructure: Research, Education, and Industry Implementation [Supporting Dataset]
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2019-08-01
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Abstract:Transportation infrastructure needs continuous monitoring that is conducted by field inspectors regularly in the field. Currently, infrastructure inspectors climb, measure, and photograph structures annually to inform repair needs and prioritize decisions. In order to promote and accelerate early learner's expertise in decision-making capabilities during infrastructure inspections, this research project developed various software applications using augmented reality (AR) as an inspection tool for bridges and bridge management, more specifically. By objectively quantifying infrastructure field inspections, inspectors can make more accurate field assessments and managers can make better-informed decisions. This project collaborated with stakeholders, national laboratories, DOT agencies such as NCHRP and NMDOT, and local owners like the City of Albuquerque, to inform the needs of AR for field inspections. The results of this study summarized the current limitations of visual inspections from the perspective of the various owners, as well as pilot developments of AR applications and their benchmarked accuracy in comparison with visual methods. The education and training aspect of this project included teaching and exposing AR to high school students, community college students, undergraduate students, and graduate students, as well as industry (bridge inspectors). This research project’s outcome includes a webinar free to access in the NCHRP national website on this topic. The conclusion of this research is that AR can be an effective tool and that industry is interested in specific programming of AR software that matches their bridge management needs. The total size of the described zip file is 2.49 GB. Docx files are document files created in Microsoft Word. These files can be opened using Microsoft Word or with an open source text viewer such as Apache OpenOffice. PPTX files are presentation files created using Microsoft PowerPoint. These files can be used using Microsoft PowerPoint or a free program such as Google Slides. MP4 files are video files that can be played using your operating system's video player software. Text files can be view in notepad or any document reading software. JPG files can be opened using the system's photo viewer. PDFs are used to display text and images and can be opened with any PDF reader or editor. MDB files are a Microsoft Access Database file. They can be viewed using Microsoft access or they can be converted to .CSV files. The .csv, Comma Separated Value, file is a simple format that is designed for a database table and supported by many applications. The .csv file is often used for moving tabular data between two different computer programs, due to its open format. Any text editor or spreadsheet program will open .csv files. ASSET, PREFS, and DWLT files are created using Unity, which a software that creates video games. This software is free to the public. DLL files are Dynamic Link Library files that contains instructions for other programs. These files are not opened but used by other programs. XML files are a markup language file that holds data. They can be opened using open source programs such as Notepad or any text editor. INFO files are generic text files that can be opened using any text reading software such as Notepad. BIN files are compressed binary files that can be read by any program that reads binary files such as Daemon Tools Lite. JSON files are files used to store and share data objects and can be opened using any text reader software such as Notepad.
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Content Notes:National Transportation Library (NTL) Curation Note: As this dataset is preserved in a repository outside U.S. DOT control, as allowed by the U.S. DOT's Public Access Plan (https://doi.org/10.21949/1503647) Section 7.4.2 Data, the NTL staff has performed NO additional curation actions on this dataset. The current level of dataset documentation is the responsibility of the dataset creator. NTL staff last accessed this dataset at its repository URL on 2022-11-11. If, in the future, you have trouble accessing this dataset at the host repository, please email NTLDataCurator@dot.gov describing your problem. NTL staff will do its best to assist you at that time.
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