Information-theoretic Coverage

Information-Theoretic Coverage is a coverage control paradigm that employs information-theoretic measures, such as mutual information or entropy reduction, to quantify and optimize the value of sensor or robotic exploration in terms of acquired knowledge about a spatially distributed phenomenon.

13

Publications

818

Citations

47

Authors

33

Institutions

Publications per year

2017–2026

4

Authors

47

  1. PF
    Pingyi Fan

    Tsinghua University, China

    1 publications · 30 citations

    1

    h-index

  2. LH
    Laura Hernández-Domínguez

    Université du Québec à Montréal, Canada

    1 publications · 118 citations

    1

    h-index

  3. XC
    Xuefeng Chen

    Nanyang Technological University, Singapore

    1 publications · 56 citations

    1

    h-index

  4. AK
    Ashkan Kalantari

    University of Luxembourg, Luxembourg

    1 publications · 156 citations

    1

    h-index

  5. SA
    Syed Ali Raza Zaidi

    University of Leeds, United Kingdom

    1 publications · 17 citations

    1

    h-index

1–5 of 47

Venues

  1. IEEE Transactions on Wireless Communications

    2 publications · 43 citations

    2

    h-index

  2. 1

    h-index

  3. IEEE Transactions on Fuzzy Systems

    TFS · 1 publications · 145 citations

    1

    h-index

  4. 1

    h-index

  5. 1

    h-index

1–5