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The plug and play solution to having precise positioning everywhere

The Vision-RTK 2 Early Access Program is now live

  • Be the first to experience the Vision-RTK 2
  • Have an impact on our upcoming features
  • Help make the Vision-RTK 2 work for you
  • Receive beta FW updates every two weeks
  • Reduced time-to-market
Contact us to learn more

Built for GNSS degraded and denied areas

  • Precise real-time pose estimation through the fusion of RTK-GNSS, IMU and Computer Vision.
  • Operation in challenging environments such as urban canyons, below bridges and under tree canopies.
  • A lightweight and compact solution ready for integration.
Product Sum.  ENProduct Sum.  CN

We offer precise global positioning everywhere

These challenges affect both the navigation and mapping phases of autonomous robots

VIO: Visual  Inertial Odometry
GNSS: Stands for Global Navigation Satellite System

Our solution: sensor fusion engine, visual sensing & RTK-GNSS

Sensor fusion engine

Our fusion engine combines all raw sensor output to derive the optimal pose estimate. The main benefits of our tightly coupled fusion approach versus a loosely coupled combination or weighting of the individual sensors are:

  • Strengths of different sensing technologies alleviate the weaknesses of the individual sensors.
  • All prior knowledge about the accuracy and the precision of sensor measurements is incorporated into a global optimization.
  • Stability and robustness due to inter-sensor prediction.

Visual sensing

Camera images are used to extract significant points (visual features) that are tracked across multiple images. Subsequent observations of visual features compute how the observer moved in between the image captures. All observations can be incorporated into the overall optimization problem so that the relative movement augments the overall pose estimation. Visual sensing is especially relevant as it does not rely on any map or satellite communication and is, therefore, the perfect technology to augment the positioning, and guide robots in challenging situations.


Two multi-band receivers use navigation signals from all four Global Navigation Satellite Systems (GNSS), namely GPS, GLONASS, BeiDou, and Galileo. Using two spatially separated antennas, the sensor determines its absolute position as well as orientation/heading. Real-time kinematics (RTK) technology is used for centimeter-level accurate positioning which requires real-time corrections from a local reference station or RTK Networks. The sensor continuously monitors the GNSS operation and the RTK correction data stream. It assesses the quality and reliability of both using proprietary algorithms to obtain the best possible performance under all circumstances.

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