A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management
Sayed Pedram Haeri BoroujeniSchool of Computing, Clemson University, Clemson, 29632, SC, USAAbolfazl RaziSchool of Computing, Clemson University, Clemson, 29632, SC, USASahand KhoshdelDepartment of Electrical and Computer Engineering, Clemson University, Clemson, 29634, SC, USAFatemeh AfghahDepartment of Electrical and Computer Engineering, Clemson University, Clemson, 29634, SC, USAJanice L. CoenDepartment of Environmental Science, University of San Francisco, San Francisco, 94117, CA, USALeo O’NeillSchool of Forestry, Northern Arizona University, Flagstaff, 86001, AZ, USAPeter Z. FuléSchool of Forestry, Northern Arizona University, Flagstaff, 86001, AZ, USAAdam C. WattsU.S. Forest Service, Pacific Wildland Fire Science Laboratory, Seattle, 98103, WA, USANick-Marios T. KokolakisThe Daniel Guggenheim School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, 30332, GA, USAKyriakos G. VamvoudakisThe Daniel Guggenheim School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, 30332, GA, USA
2024en
ABI
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