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The Future of Precise GNSS Positioning: Why NeuraLoc Focuses on Integrity and Flexible Architectures

  • Writer: Fabian Ruwisch
    Fabian Ruwisch
  • Jan 6
  • 3 min read

The Global Navigation Satellite System (GNSS) industry is rapidly evolving, driven by increasing demand for centimeter-level accurate positioning in applications such as autonomous vehicles, drones, precision agriculture, and robotics. While many providers emphasize accuracy, GNSS integrity and reliability are becoming the most critical factors for safety-critical and mission-critical systems.


At NeuraLoc, we specialize in delivering high-precision GNSS correction services that combine single-baseline RTK technology with AI-driven integrity scoring and cloud-based SaaS architectures. This approach ensures not only accurate positioning but also trusted, reliable, and scalable GNSS solutions.




Why Single-Baseline RTK Remains the Gold Standard in GNSS Positioning


Despite the rise of network-based RTK (NRTK) and Precise Point Positioning (PPP) services promising “instant precision,” single-baseline RTK remains unmatched in many real-world scenarios. Here’s why:


  1. Instant Integer Ambiguity Resolution: A physical baseline between rover and base station provides a direct phase relationship, enabling rapid and reliable integer ambiguity fixing. This is essential for dynamic applications like autonomous navigation, robotics, and machine control.

  2. Fast Reacquisition After Signal Loss: In challenging environments such as tunnels, urban canyons, or under bridges, baseline RTK can restore centimeter-level accuracy within seconds. In contrast, network or PPP methods often require tens of seconds, which can compromise safety and productivity.

  3. Integrity by Design: Physical baselines maintain verifiable geometry, a prerequisite for compliance with functional safety standards like ISO 26262 and SOTIF, critical for autonomous and safety-critical systems.

  4. Global Scalability: Advances in decentralized GNSS reference networks and affordable multi-frequency hardware have made baseline RTK coverage and density achievable worldwide.


By integrating AI-powered multipath mitigation and integrity scoring, NeuraLoc enhances baseline RTK performance, delivering cleaner correction streams and certified reliability.



Predictive Integrity: Enhancing RTK Reliability During Outages


High-precision GNSS applications often suffer from correction link outages (radio, cellular, or IP), causing loss of fixed solutions and reduced availability. For industries like precision agriculture, autonomous vehicles, and surveying, these outages impact safety and operational efficiency.


NeuraLoc’s predictive integrity technology addresses this by:


  • Bridging short outages through intelligent solution propagation within bounded error limits.

  • Quantifying position uncertainty growth during outages.

  • Proactively alerting users when positioning confidence decreases.


This continuous trustworthiness model improves GNSS availability and robustness, making it ideal for mission-critical applications.



The Shift in GNSS Corrections Business Model: Integrity and Flexibility Lead the Way


The GNSS market is moving beyond pure accuracy towards trusted centimeter-level positioning with guaranteed integrity. NeuraLoc is pioneering this shift by:


  • Partnering with network providers and OEMs.

  • Monitoring and improving reference station health.

  • Using AI to predict correction quality.

  • Supporting partners in building shared safety cases.

  • Deploying cost-effective, ad-hoc base stations tailored to customer needs.


Our network-agnostic SaaS platform adapts to customer requirements, integrating with third-party networks to deliver reliable, scalable GNSS corrections worldwide.



Behind the Technology: NeuraLoc's Cloud-Based System Architecture


NeuraLoc’s innovative cloud-based inference and processing platform ingests raw GNSS correction streams, cleans and enhances data, and adds critical integrity information. This scalable SaaS architecture ensures consistent, high-quality corrections regardless of client network or location.

By focusing on data quality improvement, integrity assurance, and flexible delivery, NeuraLoc empowers clients to achieve centimeter-level accuracy with the robustness required for autonomous, safety-critical, and industrial applications.



Conclusion


The future of GNSS positioning lies not only in accuracy but in trusted, reliable, and scalable centimeter-level solutions. NeuraLoc is building the essential technology layer that enables the next generation of autonomous systems, precision agriculture, and mission-critical applications.

 
 
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