Autonomous Drones

Divya B V, Anup Rao K, Ashish K Jacob, Vaishnav Pramod, Pattabi Ram

2025

Abstract

This paper presents an innovative and cost-effective approach to autonomous drone systems, utilizing microcontroller-based signal mimicry achieved through PWM signal analysis and recreation. The study investigates the feasibility and effectiveness of this technique, demonstrating its potential for applications in surveillance, logistics, disaster response, and environmental monitoring. By leveraging microcontrollers, the system offers adaptability, scalability, and seamless integration with existing infrastructures, catering to diverse operational needs. This paper contributes to the advancement of autonomous drone technology, showcasing the potential of microcontroller-based signal emulation for cost-effective and adaptable drone control. Additionally, emphasis is placed on the transformative potential of autonomous drone systems, highlighting their capabilities in real-time data acquisition, machine learning, and collaborative swarm intelligence across various industries.

Paper Citation

in Harvard Style

B V D., K A., Jacob A., Pramod V. and Ram P. (2025). Autonomous Drones. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 914-919. DOI: 10.5220/0013734900004664

in Bibtex Style

@conference{incoft25,
author={Divya B V and Anup Rao K and Ashish K Jacob and Vaishnav Pramod and Pattabi Ram},
title={Autonomous Drones},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT},
year={2025},
pages={914-919},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013734900004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 3: INCOFT
TI - Autonomous Drones
SN - 978-989-758-763-4
AU - B V D.
AU - K A.
AU - Jacob A.
AU - Pramod V.
AU - Ram P.
PY - 2025
SP - 914
EP - 919
DO - 10.5220/0013734900004664
PB - SciTePress