IMC Newsdesk

SparkFun GNSS boards use U-Blox dead reckoning

  • July 15, 2020
  • Steve Rogerson
The SparkFun GPS-RTK Dead Reckoning pHAT for Raspberry Pi (left) features high precision, continuous navigation functionality, and the ability to connect to multiple constellations. No soldering is required to stack the pHAT on any single board computer with the 2×20 form factor. The SparkFun GPS-RTK Dead Reckoning Breakout – ZED-F9R (Qwiic) (right) features the same impressive features as the pHAT, but allows for fast prototyping via I2C through SparkFun’s Qwiic Connect System.

Colorado-based SparkFun Electronics has released two GPS and GNSS boards using automotive dead reckoning from Swiss company U-Blox.
 
The Zed-F9R Breakout and Zed-F9R pHAT allow for connection to multiple constellations including GPS, Glonass, Beidou, Galileo and QZSS. The Zed-F9R pHAT connects to a Raspberry Pi to bring GPS and GNSS capabilities to the platform.
 
“SparkFun has always been proud of the GPS and GNSS boards we’ve made in-house,” said Kirk Benell, SparkFun’s chief technical officer. “That makes us even more excited to be the first to develop not one, but two open source development platforms that utilise U-Blox’s Zed-F9R module. We’ve created unique real-time kinematics (RTK) as well as dead reckoning boards in the past, but these are the first boards that combine the two features into a single professional platform. Working on these boards has been a labour of love and we are excited to finally release them to the world.”
 
The Zed-F9R GPS-RTK dead reckoning breakout is a high precision, sensor fusion GNSS board with configuration options. It takes advantage of U-Blox’s automotive dead reckoning technology and provides an accurate, continuous position by fusing a 3D IMU sensor, wheel ticks, vehicle dynamics model, correction data and GNSS measurements.
 
The pHAT has the same high precision, sensor fusion GNSS board and configuration options as the GPS-RTK breakout, but with the ability for users to attach the pHAT to their Raspberry Pi to start navigating.