Real time Appearance Based mapping and Localization

Abstract

The focus is on generating 3D point cloud maps using a loop closure methodology to estimate location familiarity. The research addresses hardware development for robot and sensor systems, aiming to enhance the accuracy and cost-effectiveness of real-time localization in indoor environments through affordable hardware and open-source programming techniques. Ultimately, it seeks to enable autonomous robots to navigate effectively in their generated map