A Literature Review On Indoor Localization and Navigation for Campus
Abstract
This project explores the design and implementation of
an offline, cross-platform indoor navigation system for college
campuses, inspired by recent advances in location-based services,
mobile notifications, and smart campus assistance. Integrating
concepts from Firebase-based mobile app control, notification-
driven scheduling, and seamless indoor localization systems, our
solution uses annotated SVG maps to construct an efficient graph
based navigation model. The application, built in Flutter, parses
these SVGs to identify key navigational nodes and edges
representing rooms, walkways, and floor transitions. Using A* for
route computation, the app provides optimal paths between any
two points while functioning entirely offline. Features like
dynamic rerouting and multi-floor handling enhance usability,
and the system leverages Flutter’s rendering capabilities for
interactive map overlays. This project demonstrates how modern
mobile technologies can offer efficient, and user-friendly indoor
navigation solutions for educational institutions.
Keywords:
—Indoor navigation systems,, Smart Campus solutions
Published
Issue
Section
License
Copyright (c) 2026 International Journal on Emerging Research Areas
This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- M Manoj, A S Athira, Rishna Ramesh, Sandhra Gopi, Firoz P U, Smart Attend Insights , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Aashish Tom Raju, Aneesh Varghese John, Ashish Shabu, Bibin Babu, Anishamol Abraham, Vision-Based Surveillance for Malpractice Detection: An Analysis of Pose Estimation and Object Detection , International Journal on Emerging Research Areas: Vol. 6 No. 2 (2026): IJERA
- Aashish Tom Raju, Aneesh Varghese John, Ashish Shabu, Bibin Babu, Anishamol Abraham, Vision-Based Surveillance for Malpractice Detection: An Analysis of Pose Estimation and Object Detection , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Mekha Jose, Jocelyn Anthony, Jose V Joseph, Joshwa Thomas, Sharon Baby Thomas, A Review of Machine Learning and Deep Learning Approaches for Offensive Text Detection , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Nevin Thankachan, Ameen C H, S Sidhardh, A Literature Review On Machine Learning-Based Phishing Detection Systems , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Anitta K Mathew, Hanna Sarah Sabu, Annu Alphonse Jojo, Helan Poulose, Lia Maria Rajan, A Review of AI-Powered Tools to Help People With Visual Impairments , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Kaveri S, Pooja Satheesh, Kesiya Susan John, Reubel K Wilson, Dr. Jacob John, Predictive Maintenance of Machines Using IoT and Machine Learning , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Betzy Babu Thoppil, Midhun P Mathew, Sania Elsa Reji, Nazreen Shanavaaz, Unnimaya v Ashok, Nila S S Nila, Comparative Study of Deep Learning Models for Pneumonia Classification , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Amrutha Priya C B, Nitha C Velayudhan, Arjun K S, Aleena Francis, Divya P S, AI Enabled Robot for Data Collection in Unreachable and Extreme Environment , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Honey Thomas, Linna Benny, Saya Nezrin, Navya Neethi S, Niya Joseph, Smart Communication Software for the Hearing Impaired Using Artificial Intelligence , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
You may also start an advanced similarity search for this article.