Approaches to Mobile Robot Localization in Indoor Environments

Abstract

This thesis deals with all aspects of mobile robot localization for indoor applications. The problems span from tracking the position given an initial estimate, over finding it without any prior position knowledge, to automatically building a representation of the environment while performing localization. The theme is the use of minimalistic models which capture the large scale structures of the environment, such as the dominant walls, to provide scalable and low-complexity solutions.