A Distributed Control Framework of Multiple Unmanned Aerial Vehicles for Dynamic Wildfire Tracking

@article{Pham2020ADC,
  title={A Distributed Control Framework of Multiple Unmanned Aerial Vehicles for Dynamic Wildfire Tracking},
  author={Huy Xuan Pham and Hung Manh La and David Feil-Seifer and Matthew Deans},
  journal={IEEE Transactions on Systems, Man, and Cybernetics: Systems},
  year={2020},
  volume={50},
  pages={1537-1548}
}
  • Huy Xuan Pham, Hung Manh La, +1 author Matthew Deans
  • Published in
    IEEE Transactions on Systems…
    2020
  • Mathematics, Engineering, Computer Science
  • 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 that will likely spread next. Lack of information of the fire front causes many accidents. Using unmanned aerial vehicles (UAVs) to cover wildfire is promising because it can replace humans in hazardous fire tracking and significantly reduce operation costs. In this paper, we propose a distributed control framework designed for a team of UAVs that… CONTINUE READING

    Create an AI-powered research feed to stay up to date with new papers like this posted to ArXiv

    Citations

    Publications citing this paper.
    SHOWING 1-10 OF 13 CITATIONS

    A Multi-Robotic System for Environmental Dirt Cleaning

    Spatial Scheduling of Informative Meetings for Multi-Agent Persistent Coverage

    VIEW 1 EXCERPT
    CITES METHODS

    Practical Privacy-Preserving ECG-Based Authentication for IoT-Based Healthcare

    VIEW 1 EXCERPT
    CITES BACKGROUND

    The role of Unmanned Aerial Vehicles in revolutionizing green energy

    A Multi-Robotic System for Environmental Cleaning

    VIEW 1 EXCERPT
    CITES BACKGROUND

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 50 REFERENCES

    FARSITE: Fire Area Simulator-model development and evaluation

    VIEW 5 EXCERPTS
    HIGHLY INFLUENTIAL

    Eyes in the Sky: Decentralized Control for the Deployment of Robotic Camera Networks

    VIEW 7 EXCERPTS
    HIGHLY INFLUENTIAL

    A Novel Potential Field Controller for Use on Aerial Robots

    VIEW 1 EXCERPT

    Collaborative and Compressed Mobile Sensing for Data Collection in Distributed Robotic Networks

    VIEW 1 EXCERPT

    A distributed control framework for a team of unmanned aerial vehicles for dynamic wildfire tracking

    VIEW 1 EXCERPT