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u-blox announces its first positioning module featuring both UDR and ADR technology

By Eric Van Rees - 17th November 2021 - 12:38

u-blox , a global provider of positioning and wireless communication technologies and services, has announced the NEO-M9V global navigation satellite system (GNSS) receiver.

The first u-blox positioning receiver to offer both untethered dead reckoning (UDR) and automotive dead reckoning (ADR), NEO-M9V is a perfect fit for fleet management and micromobility applications that require reliable meter-level positioning accuracy even in challenging GNSS signal environments such as urban canyons.

Vehicle fleet managers seeking to cut costs and lower their carbon footprint depend on accurate positioning and navigation data to reduce fuel consumption. Additionally, accurate odometry data is key to fleet managers for billing and compliance.

Micromobility operators need to accurately locate their devices to service the individual bikes and scooters, as locating vehicles on the wrong side of a street can force drivers to make long detours to reach their intended destination, incurring additional cost, lower service quality, and polluting the air. Accurate positioning is also vital to geofence their operation in compliance with local regulations.

Using inertial sensor measurements, UDR offers a smooth navigation experience in dense urban environments by bridging gaps in GNSS signal coverage and mitigating the impact of multipath effects caused by GNSS signals that bounce off buildings. ADR further increases positioning accuracy in demanding environments by including the vehicle speed into the sensor fusion algorithm.

Offering both UDR and ADR on the same module delivers maximum positioning performance and design flexibility at once, allowing our customers to provide the best solution case-by-case to each of their end-customers.

NEO-M9V also features dynamic models optimized for both cars and e-scooters. By adapting the algorithms of the dead reckoning solution to the behavior of these use cases, these dynamic models further increase the quality of the position reading.

Read More: Satellite Positioning, Navigation & Timing (PNT) Transport & Logistics

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