I imagine a system where several devices broadcast their coordinates to each other, and this way each device knows how far it is from a device and approximates its location based on the distance and coordinate of the other device, then matches it with its own GPS to narrow its coordinate even further.
Also possible use cases: Drones, Drone attacks on individuals with smartwatches, tracking of dissidents, these days you have to think about all possible angles.
Just one more piece of the behavior recognition and total sensor fusion puzzle. This can also be used to train passive RF based sensing techniques to be more accurate.
I imagine a system where several devices broadcast their coordinates to each other, and this way each device knows how far it is from a device and approximates its location based on the distance and coordinate of the other device, then matches it with its own GPS to narrow its coordinate even further.
Also possible use cases: Drones, Drone attacks on individuals with smartwatches, tracking of dissidents, these days you have to think about all possible angles.
Even with the stationary requirement, this is pretty neat.
One could imagine cheap turn-key devices that self locate and provide an accurate beacon for real time triangulation.
> centimetre-level precision over four hours with a stationary setup
Ok, so does this really mean the smartwatch should not move for four hours?
Yes.
Cheap positioning for construction projects.
Precision is not accuracy. I wouldn’t use this on a construction project without first setting a control point.
How can this support the panopticon of public safety?
Just one more piece of the behavior recognition and total sensor fusion puzzle. This can also be used to train passive RF based sensing techniques to be more accurate.