University of California, Riverside (UCR) researchers say they have developed a more computationally efficient way to process data from global positioning systems (GPS), making it possible to pinpoint locations down to a few centimeters.
The new technique will enable users to access centimeter-level accuracy location data with mobile phones and wearable technologies, without increasing the demand for processing power.
The approach involves reformulating a series of equations that are used to determine a GPS receiver's position, resulting in reduced computational effort being required to attain centimeter accuracy.
The researchers combined GPS measurements with data from an inertial measurement unit (IMU) through an internal navigation system. In the combined system, the GPS provides data to achieve high accuracy, while the IMU provides data to achieve high sample rates and high bandwidth continuously.
"Achieving this level of accuracy with computational loads that are suitable for real-time applications on low-power processors will not only advance the capabilities of highly specialized navigation systems, like those used in driverless cars and precision agriculture, but it will also improve location services accessed through mobile phones and other personal devices, without increasing their cost," says UCR professor Jay Farrell.
From UCR Today
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