UAVs for wildland fires

Moulay A. Akhloufi; Nicolás A. Castro; Andy Couturier

doi:10.1117/12.2304834

3 May 2018 UAVs for wildland fires

Moulay A. Akhloufi, Nicolás A. Castro, Andy Couturier

Proceedings Volume 10643, Autonomous Systems: Sensors, Vehicles, Security, and the Internet of Everything; 106430M (2018) https://doi.org/10.1117/12.2304834
Event: SPIE Defense + Security, 2018, Orlando, FL, United States

Abstract

In the last decade, research was conducted to develop measurement solutions dedicated to forest fires and based on image processing and computer vision. Significant progress was achieved in developing such tools for fire propagation in controlled laboratory environments. However, these developments are not suitable for outdoor unstructured environments. Additionally, wildland fires cover large areas; this limits the use of vision-based ground systems. Unmanned Aerial Vehicles (UAV) with cameras for remote sensing are promising as their performance/price ratio is increasing over time. They can provide a low-cost alternative for the prevention, detection, propagation monitoring and real-time support for fire fighting. In this paper, we give an overview of past work dealing with the use of UAVs in the context of wildland and forest fires, and propose a framework based on cooperative UAVs and UGVs for fires monitoring on a larger scale.

Conference Presentation

Citation Download Citation

Moulay A. Akhloufi, Nicolás A. Castro, and Andy Couturier "UAVs for wildland fires", Proc. SPIE 10643, Autonomous Systems: Sensors, Vehicles, Security, and the Internet of Everything, 106430M (3 May 2018); https://doi.org/10.1117/12.2304834

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available