#+title: Drone Project

* High level goals
** Autonomous targetted deep stall landing of a UAV
*** Key differentiator
+ Current techniques for deep stall landing lack accurate air speed and angle of attack estimation at high alpha (angle of attack).
+ Using [[file:aerodynamic-state-and-loads-estimation-using-bioinspired-distributed-sensing.pdf][biomimicry some authors have demonstrated]] the ability to accurately estimate air speed and alpha at high alpha.
  Using a distributed pressure sensor array of pressure sensors and a neural network we will accurately estimate angle of attack and air speed for targetted autonomous deep stall landing
*** Research
Summarize the exisitng research here.

* Action Items
+ [X] Add sean to matrix ::Reg::
+ [ ] Add codeberg for file storage/collaboration ::Reg::
+ [ ] Come up with integration plan for sensors, NN, and PX4 board
+ [ ] Come up with NN training plan and target hardware
+ [ ] Bringup some task tracker sw