Risk-Aware Path Planning for Unmanned Aerial Systems in a Spreading Wildfire-Reference-Cited by-同舟云学术

Risk-Aware Path Planning for Unmanned Aerial Systems in a Spreading Wildfire

Published:2022-09 Issue:9 Volume:45 Page:1692-1708
ISSN:0731-5090
Container-title:Journal of Guidance, Control, and Dynamics
language:en
Short-container-title:Journal of Guidance, Control, and Dynamics

Author:

Aggarwal Rachit¹,Soderlund Alexander²,Kumar Mrinal¹^ORCID,Grymin David J.³

Affiliation:

1. The Ohio State University, Columbus, Ohio 43210

2. U.S. Air Force Research Laboratory, Albuquerque, New Mexico 87117

3. U.S. Air Force Research Laboratory, Wright–Patterson Air Force Base, Ohio 45433

Publisher

American Institute of Aeronautics and Astronautics (AIAA)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Space and Planetary Science,Aerospace Engineering,Control and Systems Engineering

Link

https://arc.aiaa.org/doi/pdf/10.2514/1.G006365

Reference30 articles.

1. HooverK. “Federal Assistance for Wildfire Response and Recovery,” In Focus, U.S. Congress, Congressional Research Service, Rept. IF10732, 2018.

2. “Unmanned Aircraft System Airspace Integration Plan,” UAS Taskforce: Airspace Integration Integrated Product Team, U.S. Dept. of Defense TR #1-7ABA52E, Washington, D.C. March 2011.

3. Split-Bernstein Approach to Chance-Constrained Optimal Control

4. Chance-Constrained Optimal Path Planning With Obstacles

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