Mapping disasters in 3D

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Robin Murphy from Texas A&M University (TAMU) create software to reconstruct 3D scenes of disasters from 2d photographs taken by flying unmanned aerial vehicles (UAV’s).

Picture this; an earthquake devastates a major Chinese city.  Rubble is everywhere, no one knows where the survivors are.  

A team of researchers suggests a new system may help first responders gain a better understanding of their environment through the use of flying robots and 3D reconstruction software.  

[The system] deploys several small unmanned air vehicles (SUAVs), such as AirRobot quadrotors, to take snapshots of the rubble. The pictures are then uploaded to a software program called RubbleViewer, which quickly builds a three-dimensional map of the area that users can intuitively navigate. More efficient than drawing by hand, this system is also cheaper and more portable than the alternative–using helicopter-mounted lasers to map the rubble.

Last time I checked “using helicopter mounted lasers to map the rubble” was still a tad beyond most humanitarian budgets.  But who knows what wonders the G20 stimulus package might provide?  In any case, it’s an interesting proof of concept that could be scaled to market over time, thus lowering the price and becoming potentially useful to combat-style first responders in urban environments in the future.

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