Comments (3)
Hello, @tony98789
Thank you for your interest :)
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You can easily port this solution to server side. There are 2 examples : C++/Java, so you can choose what's better for you. You just need to provide GPS/sensors data with timestamps. And you need to make some queue for these events.
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About battery consumption. Main battery consumer is GPS receiver. And I was able to reduce GPS calls frequency to 1 call / 8 seconds without quality loose. But it depends on phone and sensors you have. So answer to your second question - battery won't be an issue in case of using this approach.
This is right place for questions :)
from mad-location-manager.
@Lezh1k Brilliant thank you for your reply. Your explanation of how the filtering works was great, best source of information i have found on this topic. I will most likely port it to c# though since i have .net api and the java is not far from c# anyway. Thanks again :).
from mad-location-manager.
@tony98789 porting is always welcoming :) Feel free to ask questions, will be happy to help.
from mad-location-manager.
Related Issues (20)
- for gps accuracy
- Sensor calibration needed ? HOT 3
- gpsacckalmanfilter tutorial video ? HOT 1
- Demo App crashes with GPS Provider
- URGENT HELP HOT 5
- crash with deprecated api GPSStatus in "onStop()" method GPSLocationProvider file
- Maven Plugin doesn't work with Gradle 7.2 on Android Studio
- Doesn't work with Gradle 7.1.3
- Demo app crash
- Android location manager does not handle sensors ? HOT 1
- Фильтр Калмана не работает ожидаемым образом HOT 3
- questions on some logic used in code HOT 1
- Need help for starting demo app HOT 2
- Old device without sensors TYPE_ROTATION_VECTOR, TYPE_LINEAR_ACCELERATION HOT 4
- GPSAccKalmanFilter HOT 2
- Trouble updating mapbox sdk version HOT 1
- Kalman location service started location random coords HOT 2
- The Kalman filter doesn't work when I walk backwards
- GPS errors/jumps
- It can be used for count step?
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from mad-location-manager.