Reduce GPS data error on Android with Kalman filter and accelerometer
One day I got a cool task to improve the accuracy of positioning and distance calculating based on GPS data on Android devices. After some research, I found that different GPS-receivers produce different errors. The accuracy of the GPS point can be influenced by buildings, big trees, various weather conditions and by the satellites configuration.
GPS gives nice values to detect one-time position, but its accuracy is not enough when using stream of GPS data to calculate distance and cost of taxi-services. The received data is not suitable due to the error accumulation. The error accumulation may lead to 400% of overpricing and to customers dissatisfaction as the result.