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ADAPT: An Open-Source sUAS Payload for Real-Time Disaster Prediction and Response with AI. (arXiv:2201.10366v1 [cs.CV])
Web: http://arxiv.org/abs/2201.10366
Jan. 26, 2022, 2:10 a.m. | Daniel Davila, Joseph VanPelt, Alexander Lynch, Adam Romlein, Peter Webley, Matthew S. Brown
cs.CV updates on arXiv.org arxiv.org
Small unmanned aircraft systems (sUAS) are becoming prominent components of
many humanitarian assistance and disaster response (HADR) operations. Pairing
sUAS with onboard artificial intelligence (AI) substantially extends their
utility in covering larger areas with fewer support personnel. A variety of
missions, such as search and rescue, assessing structural damage, and
monitoring forest fires, floods, and chemical spills, can be supported simply
by deploying the appropriate AI models. However, adoption by
resource-constrained groups, such as local municipalities, regulatory agencies,
and researchers, …
More from arxiv.org / cs.CV updates on arXiv.org
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