Proceedings of the International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)

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Nav-IC Guided AI-based Autonomous Drone System For Intelligent Disaster Response

Authors
Vemuri Sai Eshwar1, *, Palukuri Sai Pratap1, Narendra Babu1, Sonali Kumari1, K. N. Manikanta1, V. Jayapradha1, S. Vijayaraghavan1
1Department of Electronics and Communication Engineering, Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya (SCSVMV), Kanchipuram, Tamil Nadu, India
*Corresponding author. Email: vseaditya@gmail.com
Corresponding Author
Vemuri Sai Eshwar
Available Online 16 June 2026.
DOI
10.2991/978-94-6239-693-7_49How to use a DOI?
Keywords
NavIC; Autonomous UAV; Disaster Response; Artificial Intelligence; Sensor Fusion; Regu- latory Compliance; Geofencing
Abstract

UAVs are increasingly used in these emergencies, delivering supplies or assessing damage [2]. But there’s a catch: most of them still rely a lot on GPS to get around [1]. If the satellite signal cuts out or gets weak—and it happens, especially if you’re only using one system—those UAVs can’t always finish their jobs or avoid dangerous areas [1].

That’s why this project takes a different approach, one that is effective for disaster zones in India [5]. It mixes NavIC with GPS for navigation [5], uses an adaptive A* routing method [4], and reverts built-in geofencing checks, all inside a single mission loop [3]. We tested it out by distorting with the signal strength on purpose [1]. Even then, the new system kept UAVs on course and stopped them from drifting into restricted zones—a big improvement over GPS by itself [1, 3]. In short, this setup actually handles real-world problems, making UAV navigation tougher and smarter when everything’s falling apart [5, 6].

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
16 June 2026
ISBN
978-94-6239-693-7
ISSN
2589-4919
DOI
10.2991/978-94-6239-693-7_49How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Vemuri Sai Eshwar
AU  - Palukuri Sai Pratap
AU  - Narendra Babu
AU  - Sonali Kumari
AU  - K. N. Manikanta
AU  - V. Jayapradha
AU  - S. Vijayaraghavan
PY  - 2026
DA  - 2026/06/16
TI  - Nav-IC Guided AI-based Autonomous Drone System For Intelligent Disaster Response
BT  - Proceedings of the International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)
PB  - Atlantis Press
SP  - 500
EP  - 505
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6239-693-7_49
DO  - 10.2991/978-94-6239-693-7_49
ID  - Eshwar2026
ER  -