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Drone-based Intelligent Bushfire Management System

Central Queensland University School of Engineering & Technology

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Mr Farzad Sanati Applications accepted all year round Competition Funded PhD Project (Students Worldwide)

Rockhampton Australia Computational Mathematics

School of Engineering & Technology, Central Queensland University

About the Project

Many Firefighters and civilians lose their lives every year, because of the unpredictability of rapidly moving bushfires. The use of Unmanned Aerial Vehicle (UAV) can significantly improve the survival chance of humans in proximity to the fire front in an event of a large-scale bushfire. The novelty of this research is to use Artificial Intelligence (AI) techniques to present a significantly precise and predictive UAV navigation system that can predict the velocity and trajectory of bushfire front lines in micro level to assist/advise ground firefighting crow and civilians in the perceived danger area to take a safer and more effective course of actions when needed.

Project Keywords: Intelligent Networks

Project Availability Start Date: February 2021

Funding Notes

https://www.cqu.edu.au/international-students/fees-and-scholarships/scholarships

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