Self-driving vehicles rely on continuous data streams. RTK enables real-time positional accuracy, crucial for safety, efficiency, and control.
From shuttles to agricultural vehicles: automation becomes truly reliable with real-time correction.
Precision Vehicle Control
RTK prevents steering drift by providing real-time updates, even during high speeds or complex routes.
An autonomous vehicle must always know its exact location, down to the centimeter. RTK offers this precision with zero lag. The result? Smooth acceleration, braking and turning, without the inconsistencies of standard GPS. Essential for safety in dynamic environments.
Reliable navigation on campuses or industrial sites
Efficient routes inside production environments
Straight lines with minimal overlap
Exact positioning for automated delivery systems
Choose the RTK subscription that fits your needs, flexibility, precision, and clear terms without surprises.
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Scalable Fleet Precision
Whether in R&D or rollout, RTK offers stability for every scenario. It integrates easily with common systems and platforms, ideal for engineers, operators, and system managers who need full control over vehicle movement.
Expand your knowledge
Discover how RTK data is applied in the field and explore tips for working more accurately and efficiently.
At RTKsub, we believe the future of drones isn’t only airborne, it’s built on accuracy, infrastructure, and the ability to scale with confidence.
That’s why we’re proud to announce that RTKsub is now a member of UAV DACH, Europe’s largest association for UAV professionals.
This step is more than membership. It reflects our ongoing mission to strengthen the foundations of the drone ecosystem, supporting industrial operators, integration partners, and innovators who are shaping the future of autonomous flight.
Anyone starting with RTK quickly encounters the term “mountpoint.” For many users it sounds technical and perhaps even unnecessary, but a mountpoint is essential for the proper functioning of your RTK connection. It determines which corrections you receive and in which coordinate system your data is delivered. In this blog, we explain step by step what a mountpoint is, why it matters, and how to choose the right one.
When it comes to drones, everything revolves around precision. Whether it’s inspection flights, cartography, or agricultural applications, the quality of the data depends entirely on positional accuracy. With standard GPS, deviations of several meters can occur, which is simply too inaccurate for professional use.
RTK (Real-Time Kinematic) makes all the difference. Thanks to real-time correction signals, the position of the RTK drone is recorded with centimeter-level accuracy. This means more stable flights, exactly repeatable routes, and higher-quality data.
To perform measurements or flights as accurately as possible, you need more than GPS alone. The RTK network provides real-time corrections that enable centimeter-level precision. Whether you’re flying a drone for mapping, operating a tractor in agriculture, or running construction machinery, a stable connection to the network is essential. In this article, we walk you through, step by step, how to establish that connection.
In construction projects, everything revolves around precision and efficiency. A small measurement error can cause delays, higher costs, and even safety risks. That’s why more and more companies in the construction industry rely on RTK data. Thanks to real-time corrections, the RTK network provides GPS measurements accurate to just a few centimeters. In this blog, you’ll discover how RTK data makes your construction projects more efficient and reliable.
Standard GPS isn’t built for precision
A regular GPS receiver gives you a rough location, usually within a few meters. This may be enough for daily navigation. However, for tasks like surveying, autonomous driving, or construction, it simply doesn’t cut it.
GPS correction bridges that gap.
It turns raw satellite signals into centimeter-level accuracy. As a result, systems become more reliable and far more useful in high-performance environments.
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