How far are built in phone gyroscopes from providing inertial tracking for underground, it would be handy to walk around Tube stations and see how there're all connected, but the accuracy seems to be someway off. Although this looks to be a lead: https://aaltovision.github.io/handheld-INS/assets/presentati...
Darpa Seeks Tools to Capture Underground Worlds in 3D
21–25 of 25 posts
Re: Darpa Seeks Tools to Capture Underground Worlds in 3D
#22How far are built in phone gyroscopes from providing inertial tracking for underground, it would be handy to walk around Tube stations and see how there're all connected, but the accuracy seems to be someway off. Although this looks to be a lead: https://aaltovision.github.io/handheld-INS/assets/presentati...
Pure inertial navigation gets worse over time, even a $20,000 gyroscope wouldn't get the job done. This is because gyroscopes measure rotational velocity, velocity is the first derivative of position, so you need to integrate velocity in order to get rotational position. The integral of velocity is (velocity x time), so your error gets bigger over time. I'd imagine an inertial solution plus optical flow could result…
Re: Darpa Seeks Tools to Capture Underground Worlds in 3D
#23This is exactly what emesent do https://emesent.io/
Re: Darpa Seeks Tools to Capture Underground Worlds in 3D
#24How far are built in phone gyroscopes from providing inertial tracking for underground, it would be handy to walk around Tube stations and see how there're all connected, but the accuracy seems to be someway off. Although this looks to be a lead: https://aaltovision.github.io/handheld-INS/assets/presentati...
Pure inertial navigation gets worse over time, even a $20,000 gyroscope wouldn't get the job done. This is because gyroscopes measure rotational velocity, velocity is the first derivative of position, so you need to integrate velocity in order to get rotational position. The integral of velocity is (velocity x time), so your error gets bigger over time. I'd imagine an inertial solution plus optical flow could result…
Today I am convinced that attitude errors are the far bigger issue, since they will make you misinterpret gravity as genuine acceleration.
Even with a 1° error in your pitch estimate, you will start integrating 9.81ms^-2*cos(1°) = 0.17ms^-2 as a forward acceleration. Within one minute, you are 308m off already. This is the real issue with dead reckoning IMO.
Re: Darpa Seeks Tools to Capture Underground Worlds in 3D
#25Earlier quoted context omitted.
Pure inertial navigation gets worse over time, even a $20,000 gyroscope wouldn't get the job done. This is because gyroscopes measure rotational velocity, velocity is the first derivative of position, so you need to integrate velocity in order to get rotational position. The integral of velocity is (velocity x time), so your error gets bigger over time. I'd imagine an inertial solution plus optical flow could result…
I was always under the impression that integrating unknown biases in gyroscope and accelerometer measurments is the main issue with dead reckoning. Today I am convinced that attitude errors are the far bigger issue, since they will make you misinterpret gravity as genuine acceleration. Even with a 1° error in your pitch estimate, you will start integrating 9.81ms^-2*cos(1°) = 0.17ms^-2 as a forward acceleration. With…