How to fix incorrect pitch, yaw and roll values

I'm currently connecting my APM2.5 to my pc using a usb. When i connect it to the pc using the mission planner the Roll Pitch and Yaw are always waay off from the actual orientation of the board.

I have discovered the values for roll pitch and yaw seem to tend towards the values 90, 45 and 120 respectively. When i turn the board i see changes in these values however it always goes back.

I have made no changes to the code whatsoever, I've even reuploaded the firmware using the mission planner but i still get this. Has anyone encountered this before or have an idea what might be causing it? And if so, how may I rectify it?

You need to be a member of diydrones to add comments!

Join diydrones

Email me when people reply –

Replies

  • 3D Robotics

    Have you gone through the configuration process, including the level command? 

This reply was deleted.

Activity

DIY Robocars via Twitter
RT @SmallpixelCar: My car was able to go all the way autonomously until the crosswalk. It was only 100 yards from the target. What should b…
5 hours ago
Liam left a comment on Agricultural UAVs
"Hi
I'm Liam from T-MOTOR. I would like to reach out to see if there is any possibility for us to work together.
We are a propulsion system manufacturer who offers motors, propellers and ESCs for all kinds of drone applications which vary from secur…"
Wednesday
DIY Robocars via Twitter
RT @SmallpixelCar: Smart move. The car used the shadow to guide it through the bridge. This was never in the training samples. But it learn…
Wednesday
DIY Robocars via Twitter
RT @SmallpixelCar: Getting closer to the target. Single camera. Untrained road. https://t.co/Wsr7RwDamj
Tuesday
Richard Cox left a comment on Australia
"Anyone in the DIYDRONES Australian subgroup based in Alice Springs, NT?
I am experimenting with Ardupilot (standard Arduplane), Pixhawk 4 FC in a 4-ch
RC "AXN Floater Jet" foamy plane..."
Tuesday
Omar Sykes left a comment on Australia
"Hi everyone, I am looking for someone who is good at drone building, repair and software in Adelaide. Please give me a call on 0477 319 219."
Tuesday
DIY Robocars via Twitter
RT @RoboticMasters: #donkeycar https://t.co/czuLoVRcA4
Monday
DIY Robocars via Twitter
https://t.co/DKQbNTbz0g
Monday
DIY Robocars via Twitter
RT @RoboticMasters: Donkey car, car car car car car car; Donkey car, car car car car car car; Donkey Car. Anyone like our tiny tiny donkey…
Monday
DIY Robocars via Twitter
RT @SmallpixelCar: After improving DBSCAN speed, I can get 11 frame per second on @NVIDIAEmbedded Jerson Xavier MAXN mode and the autonomou…
Jun 26
DIY Robocars via Twitter
RT @Heavy02011: Join us at next Virtual Race League: ⁦@diyrobocars⁩ Race #4 - Parking Lot Nerds, August 1st https://t.co/5KUpu7VGaH
Jun 25
DIY Robocars via Twitter
RT @SmallpixelCar: #CUDA implementation should be easy, because most of the time is on distance calculations berween two points and if the…
Jun 25
DIY Robocars via Twitter
RT @SmallpixelCar: This is the view from the car. Even my lanenet inference is fast on @NVIDIAEmbedded Jerson Xavier, DBSCAN clustering tak…
Jun 25
DIY Robocars via Twitter
RT @SmallpixelCar: Ran my car in the park, with single camera and @sparkfun IMU. #TensorRT on @NVIDIAEmbedded Jetson Xavier. Lanenet one fr…
Jun 24
DIY Robocars via Twitter
RT @SmallpixelCar: Making progress on drive the car autonomously in my neighborhood. This run used single camera only. No other sensors. ht…
Jun 24
DIY Robocars via Twitter
RT @chr1sa: The @DIYRobocars/@donkey_car AI racers are getting *fast* in the simulator, in part because it's so well optimized for reinforc…
Jun 21
More…