add a muxing class for multiple sensors of the same type

[2bndy5]

I plan to have a GPS muxing class that takes into account the dilutions of precision attributes and differences of latitude and longitudes... Something similar should be devised for aggregating sensor data from multiple IMUs, but that will be a little more complex since each sensor device has a different set of capabilities (gyro + accel vs mag only vs gyro + accel + mag).

To identify what type of IMU we're drawing from, we can use if type(IMUs, LSM9DS1) to isolate data from the 9 DoF sensor.

• multiple IMU sensors
• multiple GPS sensors

[2bndy5]

@karleskinderic findings on how to use sensor fusion and using Kalman filters

[karleskinderic]

I'll continue to do my research on what's possible...or at least understanding how different options would work and weighing the benefits of each. I'll have to rely more heavily on @2bndy5 when it comes to editing the actual code

[2bndy5]

Throwing this out there... Maybe we just look at each sensor as an independent dataset from different parts of the robot.

[karleskinderic]

I think that's always an option. We should at least test that and see if it meets our purposes

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On Monday, September 30, 2019, Brendan ***@***.***> wrote: Throwing this out there... Maybe we just look at each sensor as an independent dataset from different parts of the robot. — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#35?email_source=notifications&email_token=AHWRSYIXIPAXCFQGZJR7CNLQMGQNXA5CNFSM4IY75JH2YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOD74UU7Y#issuecomment-536431231>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AHWRSYPFHUWCNEKCWGPRS7DQMGQNXANCNFSM4IY75JHQ> .