Introducing autonomous systems into complex environments, such as college campuses, presents many challenges in navigation. This research seeks to develop intelligent decision-making algorithms for a campus guide robot that utilizes visual information as a means of localization, navigation along a path, and tracking of following persons. High-level algorithms are layered on this system to accomplish navigation between landmarks on a campus. Investigating these systems will help contribute to improved integration of mobile robots in populated environments. Future research will refine these methods to eliminate the changes to existing infrastructure in terms of terrain and the built environment.