Our implementation of geometric algebra results in the most innate representation of physical objects, space, and motion.
The GeoAutonomy framework contains over 32 dimensions: x, y, z, yaw, pitch, roll, their associated velocities, and accelerations with many other attributes of motion, errors, and autonomy decisions.
This robust framework preserves data, requires less computational overhead, and facilitates more efficient edge-computing using AI for both navigation and industry-specific applications.
Reduces risks and manages threats by improving path predictions and collision avoidance much more efficiently.
Higher precision for greater stability and therefore higher resolution data collection.
The GeoAutonomy platform reduces developmental and operational costs for both partners and customers.