For the past month, a lunch-tray-sized aircraft has been skimming
over Peruvian ruins snapping high-definition photos which are then
stitched together to build a 3D map of the site.
The flyer is the
brainchild of Steven Wernke and Julie Adams, archaeologist and
roboticist respectively at Vanderbilt University in Tennessee. Wernke
says that the craft will speed up site mapping drastically compared to
traditional methods - a fiddly medley of theodolites, measuring tapes
and photography which often requires repeat visits over two or three
years during the dry season.
The Vanderbilt team is currently
mapping the Peruvian ruins of Mawchu Llacta, an Inca settlement that was
mysteriously abandoned in the 19th century. They plan to return next
year to work out any kinks that crop up in the lab once they are back in
Tennessee.
The flyer itself is a model from Aurora Flight Sciences called the
Skate, kitted out with cameras and connected to a flight software system
that determines the best flight patten in an area to be scanned, then
lets the craft go to work without operator assistance. The whole setup
fits in a backpack.
Although the drone
will be mapping the site in 3D to a level of detail which Wenke says is
better than "even the best satellite imagery", it won't be mapping the
interior of the ruins.
To that end, Nadir Bagaveyev, a design engineer at XCOR Aerospace in Mojave, California recently completed a successful Kickstarter campaign
to raise funds to build a cheap laser radar (LiDAR) capable of being
integrated into any robotics project and returning reliable three-
dimensional spatial coordinates.
More expensive LiDARs work by measuring the length of time it takes a
laser signal to complete a round trip between the point of measurement
and surrounding features, calculating distances by multiplying the
measured time by the speed of light. Bagaveyev is planning to make his
system cheaper by doing away with the high precision timing equipment,
and instead measuring the angles and distances between laser spots that
reflect off the drone's surroundings, calculating a distance using
trigonometry.
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