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Improved GPS could boost self-driving cars and other tech

by • February 11, 2016 • No Comments

Researchers have discovered a advantageous way to crunch the data that GPS-enabled devices use to determine their location. The outcome may provide a level of accuracy down to the centimeter that’s requireed in things like autonomous vehicles and other precision tech.

We have seen other efforts to improve GPS location to centimeter-level accuracy via what’s called “differential GPS,” that manufactures use of ground-based reference points in addition to satellite GPS data. This latest effort of the University of California – Riverside (UCR) appears much like in that it is actually all but a software-based approach.

What is maybe many groundbreaking of the advance is not just the improved level of accuracy, but just how efficiently centimeter-accurate positioning is built.

“Achieving this level of accuracy with computational loads that are suitable for real-time applications on low-power processors can not just advance the capabilities of highly specialized navigation systems – like those utilized in driverless cars and precision agriculture – but it can in addition improve location services accessed through mobile phones and other very own devices, without increasing their cost,” said UCR professor Jay Farrell, who led the research.

He claims that until now, achieving such accuracy has been computationally expensive, but the new approach returns a highly accurate position with several orders of magnitude fewer computations. That may manufacture this level of GPS additional practical in a number of emerging real world applications.

“To fulfill both the automation and safety requires of driverless cars, a few applications require to understand not just that lane a car is in, but in addition where it is in that lane – and require to understand it continuously at high rates and high bandwidth for the duration of the trip,” said Farrell.

Two participants of the team that conducted the research have since moved on to work at Qualcomm and Google. The research was published not long ago in IEEE’sTransactions on Control Systems Technology.

Source: University of California-Riverside


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