Creating 3-D maps of complex buildings for disaster management

In case of an emergency, first responders like the fire brigade need up-to-date information. Two-dimensional maps are a common source of information, but they can be difficult to read in an emergency situation. UT Ph.D. student Shayan Nikoohemat created an algorithm that can accurately generate 3-D models of the insides of large buildings from point clouds.

from News on Artificial Intelligence and Machine Learning https://ift.tt/2TnlvwF

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