The Probabilistic Approach to Automated Visual Navigation in Closed Spaces

Abstract

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