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Indoor navigation within college campuses poses unique challenges due to complex building layouts and varying levels of accessibility. This paper presents a student project aimed at developing an Augmented Reality based indoor navigation system (AR-INS) specifically tailored for college campuses. The system integrates computer vision, depth perception and Google’s ARCore techniques to provide users with real-time navigation guidance using their smartphones or AR-enabled devices. We describe the system architecture, implementation details, and evaluation results from user testing conducted on our college campus. The project highlights the feasibility of utilizing AR technology for enhancing campus navigation experiences and provides valuable insights for future research and development in this domain. This project addresses the growing need for efficient indoor navigation, which can significantly improve the overall user experience and accessibility in indoor spaces. The AR-INS is not only user- friendly but also adaptable to various environments, making it a valuable addition to smart building infrastructure and enhancing the quality of life for users. The implementation of this system can have an impact on how people navigate complex indoor spaces, and give an solution for complex indoor spaces. Keywords—AR-INS, computer vision, depth perception Google’s ARCore
Brinthakumari S (Sat,) studied this question.