Re:The First Rule of Machine Learning: Start Without Machine...
by bostonpete on Wednesday September 22, 2021 @08:36AM
(#28615588)
Analyzing the doppler shift to calculate speed only works if you know what the unshifted audio spectrum should be. Trains generate a ton of noise at a wide range of frequencies and that noise probably varies significantly based on a bunch of factors.
Re:The First Rule of Machine Learning: Start Without Machine...
by 93po on Wednesday September 22, 2021 @09:43AM
(#28616228)
If you put the microphone directly against the track, I would bet the friction and movement of the wheels against the track generates vibration that is fairly consistent for a given speed. Maybe a sensor that better detects slight vibration would be better than a microphone for this use case.
Additionally, train engines run as generators to actually power the wheels, which means they're likely running at consistent RPMs or a consistent range of set RPMs. This could be listened for.
Particularly strange since moving train (i.e. vehicle) is about the most common way doppler effect is explained in textbooks- it's not like you need any big "eureka" moment to get to this solution either.