Proceedings of the International Conference on Intelligent Systems and Digital Transformation (ICISD 2025)

<Previous Article In Volume
Next Article In Volume>

A Comprehensive Review on Sensing Technology and Computational Hardware for Autonomous UAV in GPS-Denied Environments

Authors
J. Gayathri1, *, A. Saravanakumar1
1Department of Aerospace Engineering, Anna University, MIT Campus Chrompet, Chennai, India
*Corresponding author. Email: gayujaga@gmail.com
Corresponding Author
J. Gayathri
Available Online 31 October 2025.
DOI
10.2991/978-94-6463-866-0_4How to use a DOI?
Keywords
Unmanned Aerial Vehicles; GPS-denied; multi-sensor fusion; Hardware platforms
Abstract

Unmanned Aerial Vehicles (UAVs) have gained global attention across various industries due to technical advancements in system versatility and efficiency. However, achieving accurate and reliable navigation remains a critical challenge, particularly in GPS-denied environments. This paper explores key sensor technologies, which include Inertial Measurement Unit (IMU), LiDAR, Cameras, and RADAR, which are onboard sensors to perceive the environment, estimate the vehicle’s state, and execute control strategies in real time. Additionally, hardware platforms used for real-time single or multi-sensor integration, including Microcontrollers (µC), Field-Programmable Gate Arrays (FPGAs), Graphics Processing Units (GPUs), and complex computing devices, are categorised along with their implemented literature. By analysing recent research advancements along with inherited challenges, concluding with possible future trends, this paper aims to provide valuable insights for researchers and engineers working on next-generation UAV navigation in the absence of GPS data.

Copyright
© 2025 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.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the International Conference on Intelligent Systems and Digital Transformation (ICISD 2025)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
31 October 2025
ISBN
978-94-6463-866-0
ISSN
2589-4919
DOI
10.2991/978-94-6463-866-0_4How to use a DOI?
Copyright
© 2025 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  - J. Gayathri
AU  - A. Saravanakumar
PY  - 2025
DA  - 2025/10/31
TI  - A Comprehensive Review on Sensing Technology and Computational Hardware for Autonomous UAV in GPS-Denied Environments
BT  - Proceedings of the International Conference on Intelligent Systems and Digital Transformation (ICISD 2025)
PB  - Atlantis Press
SP  - 27
EP  - 35
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-866-0_4
DO  - 10.2991/978-94-6463-866-0_4
ID  - Gayathri2025
ER  -