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Intelligent Cooperative Control for Urban Tracking

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Abstract

We introduce an intelligent cooperative control system for ground target tracking in a cluttered urban environment with a team of autonomous Unmanned Air Vehicles (UAVs). We extend the work of Yu et al. to use observations of target position to learn a model of target motion. Simulated cooperative control of a team of 9 UAVs in a 100-block city filled with various sizes of buildings verifies that learning a model of target motion can improve target tracking performance.

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Authors and Affiliations

  1. Brigham Young University, Provo, UT, 84602, USA

    Kevin Cook, Everett Bryan, Kevin Seppi & Randal Beard

  2. Utopia Compression Corporation, Los Angeles, CA, 90064, USA

    Huili Yu & He Bai

Authors
  1. Kevin Cook
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  2. Everett Bryan
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  3. Huili Yu
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  4. He Bai
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  5. Kevin Seppi
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  6. Randal Beard
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Correspondence to Kevin Cook.

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Cook, K., Bryan, E., Yu, H. et al. Intelligent Cooperative Control for Urban Tracking. J Intell Robot Syst 74, 251–267 (2014). https://doi.org/10.1007/s10846-013-9896-5

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  • DOI: https://doi.org/10.1007/s10846-013-9896-5

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