Search Coverage Planning

Search Coverage Planning is a formal method in search operations that specifies the systematic allocation of search resources over a geographic or operational domain to maximize the probability of detecting a target while distinguishing itself from general search strategies through its focus on spatial, temporal, and sensor-based coverage optimization.

11

Publications

685

Citations

44

Authors

21

Institutions

Publications per year

2017–2026

6

Authors

44

  1. PY
    Peng Yao

    Ocean University of China, China

    3 publications · 190 citations

    3

    h-index

  2. BZ
    Bin Zhu

    Southeast University, China

    1 publications · 36 citations

    1

    h-index

  3. EN
    Eric Nettleton

    The University of Sydney, Australia

    1 publications · 14 citations

    1

    h-index

  4. TT
    Theocharis Theocharides

    University of Cyprus, Cyprus

    1 publications · 30 citations

    1

    h-index

  5. YZ
    Yujiao Zhao

    Wuhan University of Technology, China

    1 publications · 58 citations

    1

    h-index

1–5 of 44

Venues

  1. IEEE Transactions on Cybernetics

    2 publications · 167 citations

    2

    h-index

  2. 1

    h-index

  3. Journal of Field Robotics

    JFR · 1 publications · 26 citations

    1

    h-index

  4. Computers & Industrial Engineering

    1 publications · 186 citations

    1

    h-index

  5. Journal of Intelligent & Robotic Systems

    1 publications · 30 citations

    1

    h-index

1–5