The team’s solution uses a heterogeneous set of uncrewed autonomous UAV systems equipped with various sensors with state-of-the-art motion planning and data processing algorithms to cover large areas, detect wildfires and coordinate suppression. High-performance suppression drones will then carry sufficient suppressants to suppress incipient fires. The overall solution will use a combination of edge computing, radio links and user interfaces to achieve accurate and speedy detection and suppression.
The team’s solution uses a heterogeneous set of uncrewed autonomous UAV systems equipped with various sensors with state-of-the-art motion planning and data processing algorithms to cover large areas, detect wildfires and coordinate suppression. High-performance suppression drones will then carry sufficient suppressants to suppress incipient fires. The overall solution will use a combination of edge computing, radio links and user interfaces to achieve accurate and speedy detection and suppression.
FLARE-X is a collaboration between The University of Texas at Austin (UT’s Jackson School of Geosciences and Cockrell School of Engineering), University of Southampton, University of Edinburgh, TU Delft and Texas A&M Forest Service.
