Spatial

AI Navigation Algorithm

Spatial features Advanced Navigation’s revolutionary AI neural network sensor fusion algorithm. This provides an accuracy of up to 10 times that of a traditional Kalman filter. It was designed for control applications and has a high level of health monitoring and instability prevention to ensure stable and reliable data.

Spatial contains high performance MEMS sensors that are put through Advanced Navigation’s intensive 8 hour temperature calibration process. This provides the highest accuracy possible from this sensor class and outputs consistent accuracy over the full temperature range from -40°C to 85°C.

Spatial has been designed from the ground up for mission critical control applications where reliability is very important. It is built on top of a safety oriented real time operating system and all software is designed and tested to safety standards with fault tolerance in mind. The hardware is designed and manufactured to mil standards.

Spatial’s GNSS receiver supports GPS, GLONASS and BeiDou. The extra constellations provides higher availability of GNSS reception and better performance in difficult environments such as urban canyons. It supports RTK for real time 1cm position accuracy as well as PPK for post processed 1cm position accuracy.

Spatial’s internal filter runs at 1000Hz and data can also be output at this rate over high speed RS232. This allows for control of dynamically unstable platforms. Spatial is also highly tolerant of dynamic movement and vibration with advanced filters designed for these applications.