Swift Navigation and Asensing Partner to Deliver Automotive-Grade High-Accuracy GPS for Industrial Autonomy

Compatibility of Asensing NAV3120 Module with Swift’s Skylark Precise Positioning Service Enables Robust, Centimeter-Level Positioning for Robotics, Drones, and Logistic Applications.

Swift Navigation, a global leader in precise positioning technology for mass-market applications, and Asensing, a leading provider of high-precision GNSS sensors, announced full compatibility between the Asensing NAV3120 high-precision GNSS positioning module and Swift’s Skylark Precise Positioning Service. Skylark is a cloud-based service that improves the accuracy of standard Global Navigation Satellite Systems (GNSS), such as GPS, from several meters to a few centimeters.

The widespread deployment of connected and autonomous IoT systems—from smart delivery robots and UAVs to precision agriculture and logistics—demands reliable, centimeter-level positioning that performs consistently across diverse environments and at scale. Traditional high-precision solutions often struggle to meet the requirements for low power, compact form factor, and cost-effective scalability needed to bring industrial autonomy to mass-market applications.

Swift’s Skylark Nx RTK, the highest-precision variant of Skylark, leverages a proprietary atmospheric model to deliver continuous 1-2 cm accuracy across vast geographic areas, including all of Western Europe. This carrier-grade network eliminates the need for developers to manage base stations or switch between multiple correction providers, simplifying the deployment of high-precision outdoor robots at scale.

The seamless interoperability between Skylark Nx RTK and Asensing’s NAV3120 module provides customers with a highly reliable, centimeter-accurate solution packaged in a compact, automotive-qualified hardware module. Joint testing demonstrated this high performance, with the solution achieving a sustained 1.7 cm horizontal position error at 95% confidence during a 24-hour period, which significantly accelerates time-to-market for applications requiring the highest level of positioning integrity.

“The combination of Asensing’s NAV3120 and Swift’s Skylark addresses a critical need in the autonomous landscape for an integrated solution that is both high-performance and commercially scalable,” said Holger Ippach, EVP of Product & Marketing at Swift Navigation. “Skylark’s unique cloud-based architecture and carrier-operated network allow us to provide a globally consistent correction service that scales from a single prototype to millions of vehicles. Combined with Asensing’s robust hardware, it delivers the reliability and scalability needed for industrial and IoT autonomy.”

Centimeter Accuracy in an Automotive-Grade Package

The NAV3120 is a powerful, full-constellation and quad-frequency signal reception module engineered for demanding applications. Its key features include:

  • Automotive-Grade: Complies with AEC-Q100 standards for integrated circuits used in automotive applications.
  • Extreme Operating Range: Sustains temperatures from -40°C to +105°C.
  • Compact Design: Small size and standard 17 x 22 x 3.1 mm footprint, weighing only 2g.
  • Efficient Power: Low power consumption of just 0.4W.

The integrated solution is immediately available for use across a wide range of autonomy applications, including:

  • Autonomous Mobile Robots, such as robotic lawnmowers and delivery robots
  • Drones and Unmanned Aerial Vehicles (UAVs)
  • Micromobility and fleet management
  • Advanced handheld and wearable high-precision devices
  • Precision agriculture and heavy machinery

“Partnering with Swift Navigation, a leader in precise positioning services, allows us to offer our NAV3120 customers a proven, centimeter-level correction solution on a global scale,” said Liyan Wang, VP for R&D at Asensing. “The NAV3120’s adherence to the stringent AEC-Q100 standard and its ability to operate in extreme environments make it an ideal choice for next-generation mobile robotics and industrial automation systems.”