United States Department of Transportation
i
Rotorcraft Landing Sites Identification – Scaling and Generalization of the AI Model [Supporting Dataset]
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2022-09-16
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Alternative Title:Data for: "CAIT-UTC-REG54: Rotorcraft Landing Sites Identification – Scaling and Generalization of the AI Model"
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Corporate Contributors:Rutgers University. Center for Advanced Infrastructure and Transportation ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Federal Aviation Administration ; United States. Department of Transportation. Federal Highway Administration
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Edition:Final Report 03/1/2021 – 02/28/2022
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Abstract:The updated information about the location and type of landing sites is essential for the Federal Aviation Administration (FAA) and the Department of Transportation (DOT). However, the acquisition, verification, and regular updating of information about landing sites are not straightforward. The lack of current and correct information on helicopter landing sites is a risk factor in several accidents and rotorcraft incidents. The U.S. Helicopter Safety Team (USHST), of which the FAA is a key member, has identified and produced recommendations from their infrastructure working group to modernize and improve “the collection, dissemination, and accuracy of heliport/helipad landing sites” as a high priority to increase helicopter safety. In the last couple of years, the Rowan team has been developing an AI-based system to identify landing sites from satellite images. The project activities were performed in collaboration with the FAA. The developed AI algorithm accepts latitude/longitude values and search radius (in miles) from the user and performs a detailed search for any landing sites, helipads, or landing ports. The results returned to the user consist of satellite images marked with possible landing sites and corresponding latitude/longitude coordinates of the identified landing sites. The AI algorithm can also scan whole cities, towns, or extensive areas to locate and mark landing sites. The team has updated the FAA’s 5010 databases of helipads, heliports, and landing sites using the developed AI.
The total size of the described file is 257.7 MB. PNG files can be opened using the system's photo viewer.
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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 2023-07-27. 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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