Autonomous Drones for Search and Rescue Opera-tions: State of the Art and Future Prospects

Year : 2025 | Volume : 01 | Issue : 02 | Page : 9 13
    By

    Shubham Mishra,

  1. Research Scholar, Department of Electrical Engineering, Jaipur Engineering College and Research Centre, Jaipur, Rajasthan, India

Abstract

Autonomous drones have significantly transformed search and rescue (SAR) operations by improving the speed, precision, and overall effectiveness with which rescuers are able to locate and provide assistance to individuals in need. By leveraging state-of-the-art technologies such as computer vision, artificial intelligence (AI), machine learning, and advanced navigation systems, drones have proven invaluable in carrying out complex rescue missions. These technologies enable drones to navigate hazardous environments autonomously, even in conditions that are challenging for human teams, such as dense forests, mountains, or disaster-stricken areas The incorporation of computer vision and AI allows drones to analyze vast amounts of data quickly, identifying key features such as heat signatures, movement, or the presence of survivors. Additionally, the drones’ ability to process real-time information enhances decision-making and enables quicker responses. This is particularly critical in situations where time is of the essence, such as during natural disasters like earthquakes, floods, or fires In SAR operations, drones are often equipped with sensors like infrared cameras, LiDAR, GPS, and thermal imaging, which provide comprehensive situational awareness and allow for better planning of rescue missions. These technologies also aid in the creation of 3D maps of disaster zones, which can be used to identify hazards or navigate difficult terrain Despite these advancements, several challenges remain, including issues related to battery life, communication reliability in remote areas, and the ability to autonomously navigate dynamic environments. The future of autonomous drones in SAR operations looks promising, with continued progress in sensor technology, energy efficiency, AI-driven decision-making, and swarm technology, which will expand their capabilities and solidify their role as essential tools in SAR missions.

Keywords: SAR operations, earthquakes, integration, machine learning, disaster situations

[This article belongs to International Journal on Drones ]

How to cite this article:
Shubham Mishra. Autonomous Drones for Search and Rescue Opera-tions: State of the Art and Future Prospects. International Journal on Drones. 2025; 01(02):9-13.
How to cite this URL:
Shubham Mishra. Autonomous Drones for Search and Rescue Opera-tions: State of the Art and Future Prospects. International Journal on Drones. 2025; 01(02):9-13. Available from: https://journals.stmjournals.com/ijd/article=2025/view=230354


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Regular Issue Subscription Review Article
Volume 01
Issue 02
Received 17/05/2025
Accepted 25/10/2025
Published 30/10/2025
Publication Time 166 Days
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