Super cool! Have been a fan of this project for a while. I think this is super important for anyone who is trying to do ml inference on edge hardware, but also the browser too.
1. MagNav needs to be done continuously over a trajectory. Like GPS, it actually needs to be fused with INS data to work. Also GPS actually takes longer for a good lock on. What your phone is actually doing is sensor…
They change over geological timescales—so not anytime soon. We're talking millions of years, w/ movement of tectonic plates and such. So for right now, once an area is mapped, its mapped for good. HOWEVER. Maps may need…
Currently 20-40 pounds right now, but we're working to reduce the SWaP. MagNav does rely on having accurate magnetic anomaly maps, which the government and certain private companies have access to.
We're working on making MagNav a one stop shop backup for GPS. I think to cover ALL cases however, you'll need other technologies. TERCOM, visual, and celestial all have their niche use cases. But for most cases, MagNav…
It's the Air Force's higher ed institution. They offer masters and PhDs. They have their own labs doing R&D.
So the role that magnetometers play in sensor fusion w/ IMU data is for yaw/heading/magnetic north estimation. In short, it aids your orientation (RPY estimate). However, with MagNav, they play a large role in supplying…
Magnetic-anomaly based navigation (MagNav) is a real thing that can solve this problem, and has been shown to work with the accuracy of a few hundred meters. Perhaps the government and defense contractors should look…
+1 to the comments here. Part of the issue here is running these applications in Python. It's not really optimized to handle these loads and do DSP-based compute efficiently.
I mean why not just use ForScore on an IPad? It's the best solution available by far. I get this is probably a desktop app, so the comparison is not relevant.
Agreed—I got it just for that too!
Super cool! Have been a fan of this project for a while. I think this is super important for anyone who is trying to do ml inference on edge hardware, but also the browser too.
1. MagNav needs to be done continuously over a trajectory. Like GPS, it actually needs to be fused with INS data to work. Also GPS actually takes longer for a good lock on. What your phone is actually doing is sensor…
They change over geological timescales—so not anytime soon. We're talking millions of years, w/ movement of tectonic plates and such. So for right now, once an area is mapped, its mapped for good. HOWEVER. Maps may need…
Currently 20-40 pounds right now, but we're working to reduce the SWaP. MagNav does rely on having accurate magnetic anomaly maps, which the government and certain private companies have access to.
We're working on making MagNav a one stop shop backup for GPS. I think to cover ALL cases however, you'll need other technologies. TERCOM, visual, and celestial all have their niche use cases. But for most cases, MagNav…
It's the Air Force's higher ed institution. They offer masters and PhDs. They have their own labs doing R&D.
So the role that magnetometers play in sensor fusion w/ IMU data is for yaw/heading/magnetic north estimation. In short, it aids your orientation (RPY estimate). However, with MagNav, they play a large role in supplying…
Magnetic-anomaly based navigation (MagNav) is a real thing that can solve this problem, and has been shown to work with the accuracy of a few hundred meters. Perhaps the government and defense contractors should look…
+1 to the comments here. Part of the issue here is running these applications in Python. It's not really optimized to handle these loads and do DSP-based compute efficiently.
I mean why not just use ForScore on an IPad? It's the best solution available by far. I get this is probably a desktop app, so the comparison is not relevant.
Agreed—I got it just for that too!