Comparing Precision of Autopilots for Survey Missions - Pixhawk with ArduCopter firmware

Hi,

We have reached the long-awaited episode in our autopilot precision series in which we finally test Pixhawk. All drones are tested by flying them on a simple photogrammetry route created in UgCS mission planning software. In this video Pixhawk was mounted on 3DR IRIS platform, the same one used in our PX4 test. Pixhawk was running ArduCopter 3.4.6 firmware.

See the results in the video below:

Download the KML files and take a look at them yourself in Google Earth:
https://www.ugcs.com/en/page/comparing-precision-of-autopilots-for-...

Get the newest version of UgCS here:
https://www.ugcs.com/

Safe flights,
UgCS Team

Views: 1047

Comment by Rob_Lefebvre on June 22, 2017 at 12:05pm

Pretty good result as expected, and I notice it wasn't a wind-free day either.

Would be interesting to see the results if you set a 1 second delay on each waypoint, it could cause the craft to exactly hit each corner and stop, making truly square corners if needed.


3D Robotics
Comment by Chris Anderson on June 22, 2017 at 2:12pm

I'm impressed by this series and would love to see a summary in table form when you're done. Right now, if memory serves, it's:

  • APM, PX4, DJI Phantom 4: pretty much perfect
  • Microkopter, Microdrone, Lockheed Martin, earlier DJI (such as A2): not so good. 
  • Others?
Comment by Alexey Dobrovolskiy on June 22, 2017 at 3:51pm

ArduCopter (on Iris) and Phantom 4 were the best. Alsmost ideal flight precision.

PX4 (on the same Iris) was good but ArduCopter still better.

My congratulations to the ardupilot team and contributors - it's marvelous that open source autopilot has better performance then most "professional" controllers. Great work!!!

We also have Micropilot MP2128 and DJI A3, but currently they don't installed on airframes, we will test them when we will have little bit of free time.

Comment by satapathy on June 25, 2017 at 11:55am

Hi, Very good results ArduCopter firmware 3.4.6. Can we put a table of comparison for better understanding?

Comment by Alexey Dobrovolskiy on June 26, 2017 at 1:43am

Any ideas how to make comparison clear and understandable? What data should be included to table?

We have trajectories of each tested drones and original route used for tests - https://www.ugcs.com/en/page/comparing-precision-of-autopilots-for-...

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