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GPS F3X Tracker for FrSky Ethos

Wayne

Administrator
Staff member
Was chatting with Mike @ Fancy Foam and he mentioned he was installing this script onto his X20.

Pretty neat for those folks that want to practice their F3F skills.


GPS F3X Tracker for Ethos is the LUA application for FrSky transmitters with Ethos operating system. It supports training of slope racing events (F3F). Whole competition event is supported, starting with initial 30 sec countdown sequence, crossing base A line for the first time and counting and time measuring of 10 legs. Via a GPS sensor the turn lines are identified and an acoustic signal is given while crossing them. A supported GPS sensor must be placed in the model and connected and configured to telemetry subsystem.
 
I'll be interested to hear how this works out. Traditionally GPS is not happy and loses accuracy under G, ask me how I know lol. Is there anyone who has tried this yet? It's kinda been the holy grail for pylon events for a while.
 
This is just for practice. I just saw a video yesterday on FB of someone practicing with a Jeti radio doing this. It worked well enough.

In a quick read of the link it talks about GPS drift and accuracy issues with some sensors, latency, etc. It will not replace an official course, but for training it looks awesome.

The guy in the video just kept repeating race cycles. It was pretty cool. Think it was in Taiwan? At the site they have selected for 2025 worlds. Wind was super strong.
 
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...I just saw a video yesterday on FB of someone practicing with a Jeti radio doing this. It worked well enough.

... The guy in the video just kept repeating race cycles. It was pretty cool. ...
would you please post the FB link if you could find it again ?
 
Thanks for the video, Pierre. That's quite impressive and encouraging! Have you checked it against a course for accuracy?

Red
Not as accurate as a set of Picams, but good enough for practice. The higher is the speed the lesser is the precision, even if version 2 of the application is much better thanks to the revisited algorythm. The solution would be a compensated GPS, one in the plane and one on the ground, the second one giving the value of the drift to compensate the values return from the plane gps.
Pierre
 
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Not as accurate as a set of Picams, but good enough for practice. The higher is the speed the lesser is the precision, even if version 2 of the application is much better thanks to the revisited algorythm. The solution would be a compensated GPS, one in the plane and one on the ground, the second one giving the value of the drift to compensate the values return from the plane gps.
Pierre
Agree, I think D(ifferential) GPS could solve the accuracy with speed issue. I'm delighted to see progress being made in this area. Good stuff!

Red
 
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