Competition prep is never finished! Engine testing and getting ready to test revisions to our avoidance software for the @uavchallenge today. Not long to go now! Thanks for the beautiful weather #Canberra!
Fresh winds today! A test flight of #autonomous avoidance of constructive aircraft, birds and weather for the @uavchallenge with 22 knots across the runway. Our trusty Ranger testbed aircraft found Joe’s target whilst crabbing into wind to fly a search pattern. We’re coming Joe!
Here’s a screen shot from some testing with our new automated imagery processing code running on Raspberry Pi with PiCam for finding Outback Joe.
Stephen has been working really hard on this while the rest of the team focussed on the OctoPorter and Kraken; now it’s time to give these algorithms a work out!
We conducted a 25 minute imagery collection mission against our target set and collected
5GB of data. The processing takes place in the RaspberryPi on board the aircraft to reduce latency and the requirement for high bandwidth data links. We get smaller thumbnails from the camera down to the ground station to see what the aircraft is collecting and what the Pi is ‘thinking’. The revised code reliably spotted our targets from this mission, but it ‘found’ too many false ones too. We can work on that with more training data sets.
Our geolocation of the targets is down to about 50 metres; that’s not accurate enough for the Porter to land on yet, so we have some more refinement to do. We think the key to that lies in improving our understanding of the time stamps.
We’re coming Outback Joe!
The Raspberry Pi camera in the OctoPorter
Stephen doing his magic!
What an amazing weekend! The Kraken flew two long missions; the second of which was 1 hour and 28 minutes. This is pretty amazing for a purely electric aircraft.
The OctoPorter flew twice on Sunday, with both missions being 1 hour missions. It was a great sight to see them both tracking autonomously around their orbits around CMAC at the same time; with sensible height deconfliction of course.
With the D3 flying done, we now need to get on with testing the new Raspberry PiCam based imaging capability that Stephen has been working on very hard this year. There is also some integration and testing of the data feed for the ‘Dynamic No Fly Zone’ portion of the 2018 competition to be done. Onward and upward!
Just for fun, here is a video of the flying this weekend.
We have just heard from @uavchallenge that we have passed the D2 stage and continue in the competition!
EllaO also wants you to know that she took these photos of the QuadStar that did a number of auto missions to test new software updates today.
We’re very excited that our second deliverable for the 2018 UAV Challenge has been submitted. Just a few stressful weeks until we receive our Go/No-Go from the organisers.
In the mean time, we have got lots of work to do. In particular we need to make some technological improvements to our OctoPorter to improve it’s reliability and refine the build of the Kraken.
We’ve also got work to do on our autonomous target location based on our new Raspberry Pi based automated image recognition software and development of the ArduPilot code to deal with Dynamic No Fly Zones. Watch this space for updates!
We’ll keep you updated as we go. Thank you very much to our family, friends and supporters! Don’t forget that we really appreciate donations to our Patreon account to help us fund our project. We put all of our work straight back into the ArduPilot community and make our autonomous image recognition software available to all; please consider contributing if you get use or pleasure out of this like we do!
Our Patreon account is here: https://www.patreon.com/canberrauav
Yesterday we enjoyed a beautiful Canberra morning flying the OctoPorter. We did thorough ground checks and some manual take-off / landing cycles before a full auto mission. The landing from the auto-mission is in this video; what an amazing sight and sound! We are excited to have the opportunity to make a number of software and hardware upgrades to the aircraft to make it more reliable and capable for the UAV Challenge this year.