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OVERVIEW
OVERVIEW
This project will develop an integrated AI-based formation and onboard computing method for a fleet of heterogeneous drones to enhance fire detection and mapping while ensuring efficient data transmission. Currently, Unmanned Aerial Systems (UAS) face limitations in wildfire monitoring due to bandwidth constraints and the necessity for human operators. This initiative aims to create a hierarchical platform of multiple UAVs for long-term fire coverage, develop low-computation real-time collaborative learning methods for onboard fire detection and mapping, and transmit final fire maps to relevant parties. This project will also develop a digital twin environment for interactive fire management and fire behavior modeling.
Resources
Resources
FireSense webpage: NASA Homepage
PEOPLE
PEOPLE
Faculty
Faculty
Dr. Fatemeh Afghah
Associate Professor
Department of Electrical and Computer Engineering
Clemson University
Dr. Eric Rowell
Assistant Research Professor
Desert Research Institute
Dr. Janice Coen
Proj Scientist III
National Center for Atmospheric Research
Dr. Adam Watts
Research Biologist
U.S. Forest Service
Dr. Alireza Tavakkoli
Associate Professor
Department of Computer Science & Engineering
University of Nevada, Reno
Dr. Xiaolong Ma
Assistant Professor
Department of Electrical and Computer Engineering
Clemson University
Students
Students
Hossein Rajoli Nowdeh
Department of Electrical and Computer Engineering
Clemson University
FUNDING
FUNDING
FireSense is funded by NASA.
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