Robotic Depth Estimation

Robotic Depth Estimation is a computational framework within computer vision that enables autonomous systems to infer three-dimensional spatial structure from visual or sensor data, distinguished by its integration into robotic perception and navigation to support real-time, action-driven depth awareness.

116

Publications

5.2K

Citations

429

Authors

153

Institutions

Publications per year

2017–2026

68

Authors

429

  1. FM
    Fangchang Ma

    Massachusetts Institute of Technology, United States

    3 publications · 77 citations

    3

    h-index

  2. YL
    Yong Liu

    Zhejiang University, China

    3 publications · 217 citations

    3

    h-index

  3. SK
    Sertaç Karaman

    Massachusetts Institute of Technology, United States

    3 publications · 77 citations

    3

    h-index

  4. NP
    Nikos Papanikolopoulos

    University of Minnesota, United States

    2 publications · 58 citations

    2

    h-index

  5. CP
    C. Perron

    Polytechnique Montréal, Canada

    2 publications · 95 citations

    2

    h-index

1–5 of 429

Venues

  1. arXiv (Cornell University)

    Repository · 7 publications · 105 citations

    7

    h-index

  2. Sensors

    5 publications · 140 citations

    5

    h-index

  3. IEEE Robotics and Automation Letters

    5 publications · 167 citations

    5

    h-index

  4. IEEE Access

    4 publications · 90 citations

    4

    h-index

  5. 3

    h-index

1–5