The paper reviews current approaches to automated navigation tasks, such as localization and mapping,
and proposes a different approach based on probability density approximation. The proposed system uses
feature extraction to reduce computation complexity. Descriptors, are then used to match mapped
features to a current view, and localization uses iterative pose estimation based on gradient descent.
Current system limitations and weaknesses are also shown
