's daily updates on his autonomous helicopter project
are alway fascinating, but today's
is even more impressive than most. It describes how he uses a neural network to take the inputs from his acceleromters, gyros, magnetometers and GPS and turns that all into an output to the heli that keeps it stable in any direction.
Here are some more diagrams, but check out the full post
to also see his analysis of how cheap real-time GPS is getting and the possibility of using cheap optical mouse sensors for position hold.