•Article updated on June 7, 2024 at 12:52 AM GMT
In the world of autonomous robotics and precise positioning, having a reliable and accurate GPS module can make all the difference. SparkFun, a well-known name in the maker community, has introduced the ZED-F9R GPS-RTK pHAT for Raspberry Pi, packed with features designed to maximize position accuracy even in challenging environments.
The SparkFun ZED-F9R GPS-RTK pHAT is a high-precision Automotive Dead Reckoning board equipped with a 3D IMU sensor, wheel ticks, a vehicle dynamics model, correction data, and GNSS measurements. With dimensions of 2.56" x 2.22", this compact pHAT is designed to seamlessly integrate with your Raspberry Pi projects.
The ZED-F9R module boasts an impressive list of features, including a Qwiic Connector for easy integration with other sensors and actuators, an integrated U.FL connector for antenna flexibility, and support for concurrent reception of GPS, GLONASS, Galileo, and BeiDou satellites. With a 184-channel GNSS receiver, the ZED-F9R can achieve an accuracy of ~0.01 meters when used with an RTK navigation solution.
One of the key advantages of the ZED-F9R is its ability to maximize position accuracy, especially in dense urban environments or areas with poor signal conditions. This GPS-RTK pHAT ensures continuous positioning even in challenging scenarios such as short tunnels or parking garages, making it ideal for applications requiring precise navigation under adverse conditions.
The ZED-F9R is part of SparkFun's Qwiic Connect System, an ecosystem of I2C sensors, shields, and cables that simplify prototyping and reduce the risk of wiring errors. With a common 1mm pitch, 4-pin JST connector, Qwiic-enabled boards ensure easy and error-free connectivity, saving valuable prototyping time and effort.
Overall, the SparkFun ZED-F9R GPS-RTK Dead Reckoning pHAT offers a compelling solution for developers and makers looking to enhance the accuracy and reliability of their autonomous robotic projects. With its high-precision GNSS receiver, advanced features, and seamless integration with the Raspberry Pi platform, this pHAT is a valuable addition to any project requiring precise positioning in challenging environments.
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