Drone Machine Vision System
Drone Machine Vision: simultaneous localization and mapping (SLAM)
We developed an aerial optical navigation system based on drone machine vision SLAM algorithms (relative optical navigation), Algorithm of Morphological Correlation-Extreme Navigation System. It is an absolute navigation system for a preloaded map and IMU. All these three information layers were combined by a single filter, taking into account the budget of errors and the time of reliability of the data of each information layer. This filter actually made a decision about the actual position of the object.
We also improved the stability of MEMS IMU readings by using redundant navigation systems in non-orthogonal positions. This allowed obtaining high stability indicators for household IMU.
Drone aerial machine vision, according to the conditions of the task, had to determine its location no worse than 2 meters after it had flown 70 kilometers without the use of GPS.
You can find our other interesting project here.
Interested in how new technologies could help your business? Check how it works for agriculture:
- Obstacle avoidance algorithms
- MEMS IMU