Wild-land fire fighting is a hazardous job. A key task for firefighters is to observe the "fire front" to chart the progress of the fire and areas it will likely spread next. Lack of information of the fire front causes many accidents. Using Unmanned Aerial Vehicles (UAV) to cover wildfire is promising because it can replace humans for fire tracking, reducing hazards and saving operation costs. In this paper we propose a distributed control framework designed for a team of UAVs that can closely monitor a wildfire in open space, and precisely track its development. The UAV team, designed for flexible deployment, can effectively avoid in-flight collisions and cooperate well with neighbors. They can maintain a certain height level to the ground for safe flight above fire. Experimental results are conducted to demonstrate the capabilities of the UAV team in covering a spreading wildfire.

CHS: Small: Collaborative Research: Spatio-Temporal Situational Awareness in Large-Scale Disasters Using Low-Cost Unmanned Aerial Vehicles, National Science Foundation PI: David Feil-Seifer, Amount: $166,666, Jan. 1, 2016 - Dec. 31, 2017

UGV-UAV Hybrid System for Unstructured Environment Exploration, NASA PI: Hung La, co-PI: David Feil-Seifer, Paul Oh, Amount: 83,523, Sept. 1, 2016 - Aug. 31, 2017

PFI:BIC: Enhanced Situational Awareness Using Unmanned Autonomous Systems for Disaster Remediation, National Science Foundation PI: Kam Leang, Amount: $800,000, Aug. 1, 2014 - July 31, 2017