Corpus ID: 173991036

Decentralized Multi-target Tracking in Urban Environments: Overview and Challenges

@article{Bucci2019DecentralizedMT,
  title={Decentralized Multi-target Tracking in Urban Environments: Overview and Challenges},
  author={Donald J. Bucci and Pramod K. Varshney},
  journal={2019 22th International Conference on Information Fusion (FUSION)},
  year={2019},
  pages={1-8}
}
  • Donald J. Bucci, Pramod K. Varshney
  • Published in
    22th International Conference…
    2019
  • Mathematics, Computer Science
  • In multi-target tracking, sensor control involves dynamically configuring sensors to achieve improved tracking performance. Many of these techniques focus on sensors with memoryless states (e.g., waveform adaptation, beam scheduling, and sensor selection), lending themselves to computationally efficient control strategies. Mobile sensor control for multi-target tracking, however, is significantly more challenging due to the complexity of the platform state dynamics. This platform complexity… CONTINUE READING

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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 98 REFERENCES

    Minimum snap trajectory generation and control for quadrotors

    VIEW 4 EXCERPTS
    HIGHLY INFLUENTIAL

    Coordinated guidance of autonomous uavs via nominal belief-state optimization

    VIEW 3 EXCERPTS
    HIGHLY INFLUENTIAL

    Convolutional Neural Network Architectures for Signals Supported on Graphs

    VIEW 1 EXCERPT

    Countering illegal UAV flights : passive DVB radar potentiality

    VIEW 1 EXCERPT

    Distributed Estimation Using Particles Intersection

    VIEW 1 EXCERPT

    Motion planning for aerial vehicles,

    • S. Liu
    • Ph.D. dissertation, University of Pennsylvania,
    • 2018
    VIEW 2 EXCERPTS