Automatic Wildfire Detection and Simulation using Optical Information from Unmanned Aerial Systems

Paper #:
  • 2015-01-2474

Published:
  • 2015-09-15
DOI:
  • 10.4271/2015-01-2474
Citation:
Lum, C., Summers, A., Carpenter, B., Rodriguez, A. et al., "Automatic Wildfire Detection and Simulation using Optical Information from Unmanned Aerial Systems," SAE Technical Paper 2015-01-2474, 2015, https://doi.org/10.4271/2015-01-2474.
Pages:
11
Abstract:
In many parts of the world, uncontrolled fires in sparsely populated areas are a major concern as they can quickly grow into large and destructive conflagrations in short time spans. Detecting these fires has traditionally been a job for trained humans on the ground, or in the air. In many cases, these manned solutions are simply not able to survey the amount of area necessary to maintain sufficient vigilance and coverage. This paper investigates the use of unmanned aerial systems (UAS) for automated wildfire detection. The proposed system uses low-cost, consumer-grade electronics and sensors combined with various airframes to create a system suitable for automatic detection of wildfires. The system employs automatic image processing techniques to analyze captured images and autonomously detect fire-related features such as fire lines, burnt regions, and flammable material. This image recognition algorithm is designed to cope with environmental occlusions such as shadows, smoke and obstructions. Once the fire is identified and classified, it is used to initialize a spatial/temporal fire simulation. This simulation is based on occupancy maps whose fidelity can be varied to include stochastic elements, various types of vegetation, weather conditions, and unique terrain. The simulations can be used to predict the effects of optimized firefighting methods to prevent the future propagation of the fires and greatly reduce time to detection of wildfires, thereby greatly minimizing the ensuing damage. This paper also documents experimental flight tests using a SenseFly Swinglet UAS conducted in Brisbane, Australia as well as modifications for custom UAS.
Access
Now
SAE MOBILUS Subscriber? You may already have access.
Buy
Select
Price
List
Download
$27.00
Mail
$27.00
Members save up to 40% off list price.
Share
HTML for Linking to Page
Page URL

Related Items

Standard
2010-11-16
Article
2016-12-08
Technical Paper / Journal Article
2004-07-19
Book
2008-01-01
Technical Paper / Journal Article
2013-10-07
Technical Paper / Journal Article
2013-10-07
Technical Paper / Journal Article
2013-10-07