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End-to-End Intelligent Framework for Rockfall Detection. (arXiv:2102.06491v1 [cs.LG] CROSS LISTED)
Sept. 29, 2022, 1:12 a.m. | Thanasis Zoumpekas, Anna Puig, Maria Salamó, David García-Sellés, Laura Blanco Nuñez, Marta Guinau
cs.LG updates on arXiv.org arxiv.org
Rockfall detection is a crucial procedure in the field of geology, which
helps to reduce the associated risks. Currently, geologists identify rockfall
events almost manually utilizing point cloud and imagery data obtained from
different caption devices such as Terrestrial Laser Scanner or digital cameras.
Multi-temporal comparison of the point clouds obtained with these techniques
requires a tedious visual inspection to identify rockfall events which implies
inaccuracies that depend on several factors such as human expertise and the
sensibility of the …
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