Fire Front Detection and Tracking for Autonomous sUAS in STEReO
Fire Front Detection and Tracking for Autonomous sUAS in STEReO
- New search for: Joshua Baculi
- New search for: Corey Ippolito
- New search for: Joshua Baculi
- New search for: Corey Ippolito
The Scalable Traffic Management Emergency Response Operations (STEReO) project aims to incorporate unmanned aerial systems (UAS) into wildfire incident response to safely quicken response times, improve operator awareness, and scale-up aircraft operations.Autonomous UAS can be used to relieve human operators of dull, dirty, and dangerous tasks such as checking for re-ignitions and geo-locating fires. To geo-locate fires, the UAS must be able to detect whether a fire is present and also have the necessary information to stamp a location. Furthermore, the UAS should be able to track the fire front to determine the extent of the fire. This study presents a fire front detection and tracking methodology for an autonomous small UAS (sUAS). The methodology is evaluated in simulation.
Document information
Fire Front Detection and Tracking for Autonomous sUAS in STEReO
AIAA Science and Technology Forum and Exposition (2021 AIAA SciTech Forum) ; 2021 ; Nashville, TN, US
Conference paper
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English