Visual natural feature tracking for autonomous spacecraft guidance by symbolic preprocessing and associative memories

The current status of development to design an autonomous vision system for spacecraft guidance in special scenarios is described. Algorithms developed are especially promising in a novel approach to detect potential landmark areas to guide a spacecraft in the descent and landing phases. The overall structure of the system was designed, and special break points for crucial parts have been determined in simulation.