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Sep 16, 2022 - CAIT-UTC-REG54: Rotorcraft Landing Sites Identification – Scaling and Generalization of the AI Model
Rasool, Ghulam; Bouaynaya, Nidhal; Nasir, Abdullah; Koutsoubis, Nikolas, 2022, "Data for: "CAIT-UTC-REG54: Rotorcraft Landing Sites Identification – Scaling and Generalization of the AI Model"", https://doi.org/10.7910/DVN/ZCQNYS, Harvard Dataverse, V1
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... |
Sep 16, 2022 -
Data for: "CAIT-UTC-REG54: Rotorcraft Landing Sites Identification – Scaling and Generalization of the AI Model"
PNG Image - 258.4 KB -
MD5: b7df40de778d1672391627a3b9e5b69b
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Sep 16, 2022 -
Data for: "CAIT-UTC-REG54: Rotorcraft Landing Sites Identification – Scaling and Generalization of the AI Model"
PNG Image - 345.0 KB -
MD5: e93daba5c1357ad8ab210cb9e527bf4e
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Sep 16, 2022 -
Data for: "CAIT-UTC-REG54: Rotorcraft Landing Sites Identification – Scaling and Generalization of the AI Model"
PNG Image - 257.2 KB -
MD5: 3d46df88a6fd0c0eadf5e8f97a3acbc3
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Sep 16, 2022 -
Data for: "CAIT-UTC-REG54: Rotorcraft Landing Sites Identification – Scaling and Generalization of the AI Model"
PNG Image - 244.4 KB -
MD5: b6d32c53ce92a854337e710d94dd613a
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Sep 16, 2022 -
Data for: "CAIT-UTC-REG54: Rotorcraft Landing Sites Identification – Scaling and Generalization of the AI Model"
PNG Image - 339.9 KB -
MD5: 6bfb12a0d65f36fb7a1637eb200f94f5
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