Challenges for DroneOlympics SF / Dec 1st.

[csanz]

From @felixge

  Challenges: IMO the #1 problem we'd like a good solution/library for is absolute 
   positioning.  This means having the drone determine it's absolute position inside 
   of a known environment.  By known environment we mean detecting fixed 
   markers/qr codes/colored lines/whatever the ground, and using those to determine
   it's absolute position inside a playing field. If you could get as many people to hack 
   on this as possible, that would be awesome.

Feel free to post questions below or include other challenges.

[shama]

Here is a related and interesting read for positioning: SLAM for dummies for those new to all of this, like myself.
Also a Kalman filter in javascript.

[felixge]

@shama wow, these are excellent links. Thanks for sharing.

[shama]

A few more:

• Open Source SLAM algorithms: openslam.org
• and a web based SLAM simulator: http://rogerstuckey.com/simulation/javascript/slam-html5/.
• Autonomous Quadrotor using a Kinect, video and code is open source

[felixge]

@shama again, another set of excellent links! Can't wait to try some of this stuff out!