Surface Mine Object Detection

Surface Mine Object Detection is a machine vision task that involves identifying and localizing objects of interest within surface mining environments, distinguished by its focus on the unique spatial, environmental, and operational characteristics of open-pit mining sites.

12

Publications

316

Citations

56

Authors

25

Institutions

Publications per year

2017–2026

4

Authors

56

  1. RC
    Robert C. Doheny

    United States Army, United States

    1 publications · 25 citations

    1

    h-index

  2. JZ
    Jerry Zadnick

    Honolulu University, United States

    1 publications · 22 citations

    1

    h-index

  3. BT
    Bin Tan

    Tongji University, China

    1 publications · 34 citations

    1

    h-index

  4. LN
    Lam Nguyen

    DEVCOM Army Research Laboratory, United States

    1 publications · 32 citations

    1

    h-index

  5. XM
    Xi Miao

    Colorado State University, United States

    1 publications · 34 citations

    1

    h-index

1–5 of 56

Venues

  1. 5

    h-index

  2. IEEE Transactions on Neural Networks

    1 publications · 34 citations

    1

    h-index

  3. 1

    h-index

  4. IEEE Transactions on Intelligent Vehicles

    ITIVBL · 1 publications · 25 citations

    1

    h-index

  5. Journal of Field Robotics

    JFR · 1 publications · 13 citations

    1

    h-index

1–5