U-blox has released a new firmware update for its ZED-F9R high-precision GNSS dead-reckoning modules. The update extends the range of supported positioning augmentation services.
With the update, the u-blox ZED-F9R-03B adds support for Japan’s QZSS CLAS correction services, extending the geographical market reach of the ZED-F9R and increasing the scalability of applications using the module. It also now supports SPARTN 2.0, a service from u-blox that delivers correction data based on the SPARTN protocol.
The ZED-F9R module was designed for use in autonomous automotive and industrial applications that require simple and efficient implementation. It is used where rapid access to highly accurate positioning data is key, even in challenging signal environments such as dense cities. Typical applications include slow-moving use cases such as robotic lawnmowers and shared e-scooters.
The module has an integrated inertial measurement unit (IMU) for real-time kinematic (RTK) positioning. It employs sophisticated algorithms to fuse the IMU data with GNSS measurements, wheel ticks, correction service data, and a vehicle dynamics model to provide centimeter-level positioning accuracy even in situations where GNSS alone would fail. It is based on the u-blox F9 multi-band GNSS receiver platform, which concurrently tracks up to four GNSS constellations, providing high-quality positioning accuracy.
Scooter company Bird and u-blox have jointly developed a new Smart Sidewalk Protection system to help prevent shared scooters from operating on city sidewalks. It uses the u-blox ZED-F9R, a dead-reckoning module that fuses GNSS and sensor data, delivering centimeter-level location information in any condition. This allows the system to monitor whether a Bird e-scooter is being operated unsafely, such as on a sidewalk or speeding. Using Bird data, the companies co-developed a version of the ZED F9R module tailored to meet the needs of the shared micromobility industry.
The dual-band ZED-F9R GNSS receiver supports up to eight times more satellite signal types and four times more constellations (GPS, Galileo, GLONASS and BeiDou) than typical solutions. The module processes real-time vehicle data, including wheel speed, IMU sensor data (including acceleration and heading), and real-time kinematic data that corrects for ionospheric interference. The technology is also optimized for e-scooters by applying dynamic models matching their movements.
To turn this sensor-fusion module into its Smart Sidewalk Protection system, Bird developed a five-step process for creating sidewalk maps with centimeter accuracy. It starts with a geofence outline constructed from satellite imagery or city GIS data. Bird then uses surveying equipment to measure the location of three city landmarks. Only a few measurements are needed for each city. Once the landmarks have been identified, they compare their location to the satellite imagery to determine offsets and rotations and use them to shift and transform each of the original geofence outlines. Finally, they pre-load the updated geofence outlines onto Bird vehicles to eliminate latency. When combined with the hyper-accurate location measurements provided by Bird’s sensor-fusion module, they can detect and respond to sidewalk riding almost instantly, according to Bird.
The micromobility module is being piloted in Milwaukee and San Diego. Madrid will be Bird’s first pilot city in Europe, with plans for a broader roll-out slated in 2022.
U-blox has released a firmware update for its ZED-F9R positioning module, bringing robust centimeter-level positioning to slow-moving use cases such as robotic lawnmowers, e-scooters and shared bicycles.
Based on the ZED-F9R high-precision sensor-fusion module, the u-blox ZED-F9R-02B was designed for use in autonomous and industrial applications that require simple and efficient implementation and where rapid access to highly accurate positioning data is key, even in challenging signal environments such as dense cities.
The ZED-F9R uses the u-blox F9 multi-band GNSS receiver platform to concurrently track up to four GNSS constellations. Applying real-time kinematic (RTK) techniques, the module can derive positioning data with centimeter-level accuracy.
The high-precision GNSS measurements are fused with data from the module’s inertial measurement unit (IMU), GNSS correction data, odometry information, and a vehicle dynamics model to provide high-quality positioning accuracy in situations where GNSS alone would fail. The receiver includes dynamic models for robotic lawnmowers, e-scooters and automobiles.
The ZED-F9R-02B integrates the u-blox GNSS correction data service, broadcast in the highly scalable state-space representation format, making it easier to deliver fast time-to-market precise positioning solutions.
An autonomous lawn mower trims the grass in a park in Finland. (Photo: Scharfsinn86/iStock/Getty Images Plus/Getty Images)
Robotic lawnmowers achieve further improvements in terms of their positioning accuracy from the module’s ability to calibrate its dead-reckoning system even at low speeds. The module’s highly accurate position output lets end users precisely delimit the mowing area using software rather than with boundary wires, and deploy robotic lawnmowers on complex lawn shapes while excluding trees and shrubs. Users can align each pass of the mower with the next more accurately than before, delivering a professional-looking striped lawn.
According to U-blox, combining these features allows product designers to use the module to create mowing equipment that enables “robotic mowing as a service” capable of operating in complex environments without the upfront cost and commitment of installing boundary wires.
“Our new ZED-F9R-02B high-precision module is a turnkey dead-reckoning solution that will enable designers to bring products that need dead-reckoning technology to market more quickly than if they had to implement it from scratch,” said Alex Ngi, product manager, Industrial Navigation and Robotics, Product Center Positioning at u-blox. “It will also allow companies working in niche markets to employ dead-reckoning technologies without needing to build and maintain expertise in the subject.”
The ZED-F9R-02B offers support for a range of correction services, including the SPARTN format, which will make it straightforward to distribute GNSS correction data over large geographical areas.
iGPSPort cycling computer. In another announcement, U-blox and iGPSPORT, a sports hardware and data service provider operating out of Wuhan, China, have announced the iGS320 cycling computer, which builds on the u-blox M10 positioning platform. The cycling computer leverages the U-blox M10 platform’s ultra-low power consumption, compact size, and its ability to track all four GNSS to offer endurance athletes a superior user experience.
Adopting the U-blox M10 positioning platform in its iGS320 cycling computer brought iGPSPORT an 80 percent increase the power autonomy to deliver 72 hours of continuous tracking, up from 40 hours in their previous solution. Concurrent reception of up to four GNSS constellations increases coverage and accuracy in otherwise challenging signal environments.
