Fixposition AG
8952 Schlieren
Switzerland
Explore the autonomous future with Fixposition's Vision-RTK2
We are a team of sensor fusion experts, GNSS and computer vision specialists, building a leading positioning sensor that is precise, compact, and affordable. We provide autonomous guidance systems with high-precision positioning that excels in challenging environments such as urban canyons, underpasses, and under tree canopies. Easy to integrate, our solution boosts your product’s performance, reduces time-to-market, and simplifies development. Combining high precision RTK-GNSS with inertial and visual sensors, our deep sensor fusion technology provides precise global positioning anytime, anywhere.
Industry challenge:
From driverless shuttles to agricultural and urban robots, we are entering the age of autonomous machines. Each have a common challenge: knowing precisely where they are both indoors and outside, as well as in cities or under tree canopies.
Our Solution:
Sensor fusion
- All available sensor data such as GNSS observations, camera images and IMU measurements are fed into Fixposition’s deep sensor fusion engine. Auxiliary inputs like wheel speed information can also be added to increase sensor performance in GNSS degraded or denied areas.
- The fusion engine leverages the strengths of multiple independent sensor technologies and compensates for individual weaknesses to provide an optimal pose estimate.
Visual Odometry
- Camera images are used to extract significant points (visual features) that are tracked across multiple images. Subsequent observations of visual features allow computation of how the camera moved in between the captured images.
RTK-GNSS
- Two dual-band receivers use satellite signals from all four GNSS Systems (GPS, GLONASS, BeiDou, and Galileo) to determine the sensor’s absolute position and orientation.
- Common errors in current GNSS systems require corrections to achieve the high-level of accuracy required. RTK technology is used to correct these errors and achieve centimeter-level accurate positioning. NTRIP is used to provide the correction data to the sensor. This data can be obtained from publicly available Virtual Reference Station (VRS) networks, or from a local physical base station.
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